From 07bb2a6fd6b8b73fd70e3d412b8fdba0e0e1f203 Mon Sep 17 00:00:00 2001 From: liuhua <10215101452@stu.ecnu.edu.cn> Date: Mon, 28 Oct 2024 15:06:18 +0800 Subject: [PATCH 1/3] Turn resource to plural form (#3061) ### What problem does this PR solve? Turn resource to plural form ### Type of change - [x] Refactoring Co-authored-by: liuhua <10215101452@stu.ecun.edu.cn> --- api/apps/sdk/dify_retrieval.py | 2 +- api/apps/sdk/doc.py | 2 +- api/http_api_reference.md | 6 +++--- sdk/python/ragflow/modules/chat.py | 8 ++++---- sdk/python/ragflow/modules/chunk.py | 2 +- sdk/python/ragflow/modules/dataset.py | 12 ++++++------ sdk/python/ragflow/modules/document.py | 10 +++++----- sdk/python/ragflow/modules/session.py | 4 ++-- sdk/python/ragflow/ragflow.py | 12 ++++++------ 9 files changed, 29 insertions(+), 29 deletions(-) diff --git a/api/apps/sdk/dify_retrieval.py b/api/apps/sdk/dify_retrieval.py index 9b9989979c..ac839d30f9 100644 --- a/api/apps/sdk/dify_retrieval.py +++ b/api/apps/sdk/dify_retrieval.py @@ -22,7 +22,7 @@ from api.utils.api_utils import validate_request, build_error_result, apikey_required -@manager.route('/dify/retrievals', methods=['POST']) +@manager.route('/dify/retrieval', methods=['POST']) @apikey_required @validate_request("knowledge_id", "query") def retrieval(tenant_id): diff --git a/api/apps/sdk/doc.py b/api/apps/sdk/doc.py index 5356d6f6da..79164bf593 100644 --- a/api/apps/sdk/doc.py +++ b/api/apps/sdk/doc.py @@ -574,7 +574,7 @@ def update_chunk(tenant_id,dataset_id,document_id,chunk_id): -@manager.route('/retrievals', methods=['POST']) +@manager.route('/retrieval', methods=['POST']) @token_required def retrieval_test(tenant_id): req = request.json diff --git a/api/http_api_reference.md b/api/http_api_reference.md index 3f94a07ecb..57a2d37431 100644 --- a/api/http_api_reference.md +++ b/api/http_api_reference.md @@ -1169,14 +1169,14 @@ Failure: ## Retrieve chunks -**GET** `/api/v1/retrievals` +**GET** `/api/v1/retrieval` Retrieves chunks from specified datasets. ### Request - Method: POST -- URL: `/api/v1/retrievals` +- URL: `/api/v1/retrieval` - Headers: - `'content-Type: application/json'` - `'Authorization: Bearer {YOUR_API_KEY}'` @@ -1197,7 +1197,7 @@ Retrieves chunks from specified datasets. ```bash curl --request POST \ - --url http://{address}/api/v1/retrievals \ + --url http://{address}/api/v1/retrieval \ --header 'Content-Type: application/json' \ --header 'Authorization: {YOUR_API_KEY}' \ --data ' diff --git a/sdk/python/ragflow/modules/chat.py b/sdk/python/ragflow/modules/chat.py index ecfc247c02..cf95a9f765 100644 --- a/sdk/python/ragflow/modules/chat.py +++ b/sdk/python/ragflow/modules/chat.py @@ -43,7 +43,7 @@ def __init__(self, rag, res_dict): super().__init__(rag, res_dict) def update(self, update_message: dict): - res = self.put(f'/chat/{self.id}', + res = self.put(f'/chats/{self.id}', update_message) res = res.json() if res.get("code") != 0: @@ -51,7 +51,7 @@ def update(self, update_message: dict): def create_session(self, name: str = "New session") -> Session: - res = self.post(f"/chat/{self.id}/session", {"name": name}) + res = self.post(f"/chats/{self.id}/sessions", {"name": name}) res = res.json() if res.get("code") == 0: return Session(self.rag, res['data']) @@ -59,7 +59,7 @@ def create_session(self, name: str = "New session") -> Session: def list_sessions(self,page: int = 1, page_size: int = 1024, orderby: str = "create_time", desc: bool = True, id: str = None, name: str = None) -> List[Session]: - res = self.get(f'/chat/{self.id}/session',{"page": page, "page_size": page_size, "orderby": orderby, "desc": desc, "id": id, "name": name} ) + res = self.get(f'/chats/{self.id}/sessions',{"page": page, "page_size": page_size, "orderby": orderby, "desc": desc, "id": id, "name": name} ) res = res.json() if res.get("code") == 0: result_list = [] @@ -69,7 +69,7 @@ def list_sessions(self,page: int = 1, page_size: int = 1024, orderby: str = "cre raise Exception(res["message"]) def delete_sessions(self,ids): - res = self.rm(f"/chat/{self.id}/session", {"ids": ids}) + res = self.rm(f"/chats/{self.id}/sessions", {"ids": ids}) res = res.json() if res.get("code") != 0: raise Exception(res.get("message")) diff --git a/sdk/python/ragflow/modules/chunk.py b/sdk/python/ragflow/modules/chunk.py index dd4763a302..2ddd6ad25b 100644 --- a/sdk/python/ragflow/modules/chunk.py +++ b/sdk/python/ragflow/modules/chunk.py @@ -19,7 +19,7 @@ def __init__(self, rag, res_dict): def update(self,update_message:dict): - res = self.put(f"/dataset/{self.dataset_id}/document/{self.document_id}/chunk/{self.id}",update_message) + res = self.put(f"/datasets/{self.dataset_id}/documents/{self.document_id}/chunks/{self.id}",update_message) res = res.json() if res.get("code") != 0 : raise Exception(res["message"]) diff --git a/sdk/python/ragflow/modules/dataset.py b/sdk/python/ragflow/modules/dataset.py index 1f72c6cc98..f49fc199d8 100644 --- a/sdk/python/ragflow/modules/dataset.py +++ b/sdk/python/ragflow/modules/dataset.py @@ -31,14 +31,14 @@ def __init__(self, rag, res_dict): super().__init__(rag, res_dict) def update(self, update_message: dict): - res = self.put(f'/dataset/{self.id}', + res = self.put(f'/datasets/{self.id}', update_message) res = res.json() if res.get("code") != 0: raise Exception(res["message"]) def upload_documents(self,document_list: List[dict]): - url = f"/dataset/{self.id}/document" + url = f"/datasets/{self.id}/documents" files = [("file",(ele["displayed_name"],ele["blob"])) for ele in document_list] res = self.post(path=url,json=None,files=files) res = res.json() @@ -51,7 +51,7 @@ def upload_documents(self,document_list: List[dict]): raise Exception(res.get("message")) def list_documents(self, id: str = None, keywords: str = None, offset: int =1, limit: int = 1024, orderby: str = "create_time", desc: bool = True): - res = self.get(f"/dataset/{self.id}/info",params={"id": id,"keywords": keywords,"offset": offset,"limit": limit,"orderby": orderby,"desc": desc}) + res = self.get(f"/datasets/{self.id}/documents",params={"id": id,"keywords": keywords,"offset": offset,"limit": limit,"orderby": orderby,"desc": desc}) res = res.json() documents = [] if res.get("code") == 0: @@ -61,19 +61,19 @@ def list_documents(self, id: str = None, keywords: str = None, offset: int =1, l raise Exception(res["message"]) def delete_documents(self,ids: List[str] = None): - res = self.rm(f"/dataset/{self.id}/document",{"ids":ids}) + res = self.rm(f"/datasets/{self.id}/documents",{"ids":ids}) res = res.json() if res.get("code") != 0: raise Exception(res["message"]) def async_parse_documents(self,document_ids): - res = self.post(f"/dataset/{self.id}/chunk",{"document_ids":document_ids}) + res = self.post(f"/datasets/{self.id}/chunks",{"document_ids":document_ids}) res = res.json() if res.get("code") != 0: raise Exception(res.get("message")) def async_cancel_parse_documents(self,document_ids): - res = self.rm(f"/dataset/{self.id}/chunk",{"document_ids":document_ids}) + res = self.rm(f"/datasets/{self.id}/chunks",{"document_ids":document_ids}) res = res.json() if res.get("code") != 0: raise Exception(res.get("message")) diff --git a/sdk/python/ragflow/modules/document.py b/sdk/python/ragflow/modules/document.py index 8f82f4589e..d248981a1f 100644 --- a/sdk/python/ragflow/modules/document.py +++ b/sdk/python/ragflow/modules/document.py @@ -35,14 +35,14 @@ def __init__(self, rag, res_dict): def update(self, update_message: dict): - res = self.put(f'/dataset/{self.dataset_id}/info/{self.id}', + res = self.put(f'/datasets/{self.dataset_id}/documents/{self.id}', update_message) res = res.json() if res.get("code") != 0: raise Exception(res["message"]) def download(self): - res = self.get(f"/dataset/{self.dataset_id}/document/{self.id}") + res = self.get(f"/datasets/{self.dataset_id}/documents/{self.id}") try: res = res.json() raise Exception(res.get("message")) @@ -52,7 +52,7 @@ def download(self): def list_chunks(self,offset=0, limit=30, keywords="", id:str=None): data={"document_id": self.id,"keywords": keywords,"offset":offset,"limit":limit,"id":id} - res = self.get(f'/dataset/{self.dataset_id}/document/{self.id}/chunk', data) + res = self.get(f'/datasets/{self.dataset_id}/documents/{self.id}/chunks', data) res = res.json() if res.get("code") == 0: chunks=[] @@ -64,14 +64,14 @@ def list_chunks(self,offset=0, limit=30, keywords="", id:str=None): def add_chunk(self, content: str,important_keywords:List[str]=[]): - res = self.post(f'/dataset/{self.dataset_id}/document/{self.id}/chunk', {"content":content,"important_keywords":important_keywords}) + res = self.post(f'/datasets/{self.dataset_id}/documents/{self.id}/chunks', {"content":content,"important_keywords":important_keywords}) res = res.json() if res.get("code") == 0: return Chunk(self.rag,res["data"].get("chunk")) raise Exception(res.get("message")) def delete_chunks(self,ids:List[str] = None): - res = self.rm(f"dataset/{self.dataset_id}/document/{self.id}/chunk",{"ids":ids}) + res = self.rm(f"datasets/{self.dataset_id}/documents/{self.id}/chunks",{"ids":ids}) res = res.json() if res.get("code")!=0: raise Exception(res.get("message")) \ No newline at end of file diff --git a/sdk/python/ragflow/modules/session.py b/sdk/python/ragflow/modules/session.py index cbd6faf1f9..1a0bd3e2af 100644 --- a/sdk/python/ragflow/modules/session.py +++ b/sdk/python/ragflow/modules/session.py @@ -15,7 +15,7 @@ def ask(self, question: str, stream: bool = False): for message in self.messages: if "reference" in message: message.pop("reference") - res = self.post(f"/chat/{self.chat_id}/completion", + res = self.post(f"/chats/{self.chat_id}/completions", {"question": question, "stream": True,"session_id":self.id}, stream=stream) for line in res.iter_lines(): line = line.decode("utf-8") @@ -53,7 +53,7 @@ def ask(self, question: str, stream: bool = False): yield message def update(self,update_message): - res = self.put(f"/chat/{self.chat_id}/session/{self.id}", + res = self.put(f"/chats/{self.chat_id}/sessions/{self.id}", update_message) res = res.json() if res.get("code") != 0: diff --git a/sdk/python/ragflow/ragflow.py b/sdk/python/ragflow/ragflow.py index df37df68ef..68da849b81 100644 --- a/sdk/python/ragflow/ragflow.py +++ b/sdk/python/ragflow/ragflow.py @@ -53,7 +53,7 @@ def create_dataset(self, name: str, avatar: str = "", description: str = "", lan parser_config: DataSet.ParserConfig = None) -> DataSet: if parser_config: parser_config = parser_config.to_json() - res = self.post("/dataset", + res = self.post("/datasets", {"name": name, "avatar": avatar, "description": description, "language": language, "permission": permission, "chunk_method": chunk_method, "parser_config": parser_config @@ -65,7 +65,7 @@ def create_dataset(self, name: str, avatar: str = "", description: str = "", lan raise Exception(res["message"]) def delete_datasets(self, ids: List[str]): - res = self.delete("/dataset",{"ids": ids}) + res = self.delete("/datasets",{"ids": ids}) res=res.json() if res.get("code") != 0: raise Exception(res["message"]) @@ -79,7 +79,7 @@ def get_dataset(self,name: str): def list_datasets(self, page: int = 1, page_size: int = 1024, orderby: str = "create_time", desc: bool = True, id: str = None, name: str = None) -> \ List[DataSet]: - res = self.get("/dataset", + res = self.get("/datasets", {"page": page, "page_size": page_size, "orderby": orderby, "desc": desc, "id": id, "name": name}) res = res.json() result_list = [] @@ -129,14 +129,14 @@ def create_chat(self, name: str, avatar: str = "", dataset_ids: List[str] = [], "dataset_ids": dataset_list, "llm": llm.to_json(), "prompt": prompt.to_json()} - res = self.post("/chat", temp_dict) + res = self.post("/chats", temp_dict) res = res.json() if res.get("code") == 0: return Chat(self, res["data"]) raise Exception(res["message"]) def delete_chats(self,ids: List[str] = None,names: List[str] = None ) -> bool: - res = self.delete('/chat', + res = self.delete('/chats', {"ids":ids, "names":names}) res = res.json() if res.get("code") != 0: @@ -144,7 +144,7 @@ def delete_chats(self,ids: List[str] = None,names: List[str] = None ) -> bool: def list_chats(self, page: int = 1, page_size: int = 1024, orderby: str = "create_time", desc: bool = True, id: str = None, name: str = None) -> List[Chat]: - res = self.get("/chat",{"page": page, "page_size": page_size, "orderby": orderby, "desc": desc, "id": id, "name": name}) + res = self.get("/chats",{"page": page, "page_size": page_size, "orderby": orderby, "desc": desc, "id": id, "name": name}) res = res.json() result_list = [] if res.get("code") == 0: From e56bd770ea79ce4ffae6cf7af8cb9a93ad7d2da8 Mon Sep 17 00:00:00 2001 From: Kevin Hu Date: Mon, 28 Oct 2024 15:49:14 +0800 Subject: [PATCH 2/3] agent template upgrade (#3060) ### What problem does this PR solve? #3056 ### Type of change - [x] New Feature (non-breaking change which adds functionality) --- agent/component/retrieval.py | 10 +- agent/templates/DB Assistant.json | 1588 ++++++---- agent/templates/HR_callout_zh.json | 2150 +++++++++---- agent/templates/customer_service.json | 1453 +++++---- agent/templates/general_chat_bot.json | 3475 +++++++++++---------- agent/templates/interpreter.json | 374 ++- agent/templates/investment_advisor.json | 941 +++--- agent/templates/medical_consultation.json | 1142 ++++--- agent/templates/text2sql.json | 1004 +++--- agent/templates/websearch_assistant.json | 1288 +++++--- 10 files changed, 7911 insertions(+), 5514 deletions(-) diff --git a/agent/component/retrieval.py b/agent/component/retrieval.py index ec45ba1aea..e53d987d9e 100644 --- a/agent/component/retrieval.py +++ b/agent/component/retrieval.py @@ -43,25 +43,19 @@ def check(self): self.check_decimal_float(self.similarity_threshold, "[Retrieval] Similarity threshold") self.check_decimal_float(self.keywords_similarity_weight, "[Retrieval] Keywords similarity weight") self.check_positive_number(self.top_n, "[Retrieval] Top N") - self.check_empty(self.kb_ids, "[Retrieval] Knowledge bases") class Retrieval(ComponentBase, ABC): component_name = "Retrieval" def _run(self, history, **kwargs): - # query = [] - # for role, cnt in history[::-1][:self._param.message_history_window_size]: - # if role != "user":continue - # query.append(cnt) - # # query = "\n".join(query) - # query = query[0] query = self.get_input() query = str(query["content"][0]) if "content" in query else "" kbs = KnowledgebaseService.get_by_ids(self._param.kb_ids) if not kbs: - raise ValueError("Can't find knowledgebases by {}".format(self._param.kb_ids)) + return Retrieval.be_output("") + embd_nms = list(set([kb.embd_id for kb in kbs])) assert len(embd_nms) == 1, "Knowledge bases use different embedding models." diff --git a/agent/templates/DB Assistant.json b/agent/templates/DB Assistant.json index 1088388e11..874e123509 100644 --- a/agent/templates/DB Assistant.json +++ b/agent/templates/DB Assistant.json @@ -4,684 +4,928 @@ "description": "An advanced agent that converts user queries into SQL statements, executes the queries, and assesses and returns the results. You must prepare three knowledge bases: 1: DDL for your database; 2: Examples of user queries converted to SQL statements; 3: A comprehensive description of your database, including but not limited to tables and records. You are also required to configure the corresponding database.", "canvas_type": "chatbot", "dsl": { - "answer": [], - "components": { - "Answer:SocialAdsWonder": { - "downstream": [ - "Retrieval:WetNewsHunt", - "Retrieval:OpenWingsRepeat", - "Retrieval:StrongDrinksShare" - ], - "obj": { - "component_name": "Answer", - "params": {} - }, - "upstream": [ - "begin", - "Switch:GreatTermsTeach" - ] - }, - "ExeSQL:CoolFactsChew": { - "downstream": [ - "Switch:GreatTermsTeach" - ], - "obj": { - "component_name": "ExeSQL", - "params": { - "database": "Your DB name", - "db_type": "mysql", - "host": "Your IP Port", - "loop": 3, - "password": "Your Password", - "port": 3306, - "top_n": 9, - "username": "Your username" - } - }, - "upstream": [ - "Generate:OliveDotsInvent", - "Generate:FloppyHairsFix" - ] - }, - "Generate:FloppyHairsFix": { - "downstream": [ - "ExeSQL:CoolFactsChew" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "max_tokens": 512, - "message_history_window_size": 12, - "parameters": [ - { - "component_id": "ExeSQL:CoolFactsChew", - "id": "979b8482-28af-4c18-98a6-810963d8f08c", - "key": "exesql_input" - } - ], - "presence_penalty": 0.4, - "prompt": "## You are the Repair SQL Statement Helper, please modify the original SQL statement based on the SQL query error report.\n\n## The contents of the SQL query error report and the original SQL statement are as follows:\n{exesql_input}\n\n## Answer only the modified SQL statement. Each SQL statement ends with semicolon and do not give any explanation, just answer the code.", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Switch:GreatTermsTeach" - ] - }, - "Generate:OliveDotsInvent": { - "downstream": [ - "ExeSQL:CoolFactsChew" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "max_tokens": 512, - "message_history_window_size": 12, - "parameters": [ - { - "component_id": "Retrieval:StrongDrinksShare", - "id": "36c09e33-bad2-42fe-9a56-f136677bb405", - "key": "ddl_input" - }, - { - "component_id": "Retrieval:OpenWingsRepeat", - "id": "e4cfe15e-64cd-4351-b49e-0da2f5c8ec34", - "key": "db_input" - }, - { - "component_id": "Retrieval:WetNewsHunt", - "id": "946d8272-fc98-4040-a75f-502df7e4a42e", - "key": "sql_input" - } - ], - "presence_penalty": 0.4, - "prompt": "\n##The user provides a question and you provide SQL. You will only respond with SQL code and not with any explanations.\n\n##You may use the following DDL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {ddl_input}.\n\n##You may use the following documentation as a reference for what tables might be available. Use responses to past questions also to guide you: {db_input}.\n\n##You may use the following SQL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {sql_input}.\n\n##Respond with only SQL code. Each SQL code ends with semicolon and do not give any explanation -- just the code.", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Retrieval:StrongDrinksShare", - "Retrieval:OpenWingsRepeat", - "Retrieval:WetNewsHunt" - ] - }, - "Retrieval:OpenWingsRepeat": { - "downstream": [ - "Generate:OliveDotsInvent" - ], - "obj": { - "component_name": "Retrieval", - "params": { - "empty_response": "Nothing found in DB-Description!", - "kb_ids": [ - "b510f8f45f6011ef904f0242ac160006" - ], - "keywords_similarity_weight": 0.3, - "similarity_threshold": 0.2, - "top_n": 8 - } - }, - "upstream": [ - "Answer:SocialAdsWonder" - ] - }, - "Retrieval:StrongDrinksShare": { - "downstream": [ - "Generate:OliveDotsInvent" - ], - "obj": { - "component_name": "Retrieval", - "params": { - "empty_response": "Nothing found in DDL!", - "kb_ids": [ - "9870268e5f6011efb8570242ac160006" - ], - "keywords_similarity_weight": 0.1, - "similarity_threshold": 0.02, - "top_n": 18 - } - }, - "upstream": [ - "Answer:SocialAdsWonder" - ] - }, - "Retrieval:WetNewsHunt": { - "downstream": [ - "Generate:OliveDotsInvent" - ], - "obj": { - "component_name": "Retrieval", - "params": { - "empty_response": "Nothing found in Q->SQL!", - "kb_ids": [ - "dd401bcc5b9e11efae770242ac160006" - ], - "keywords_similarity_weight": 0.3, - "similarity_threshold": 0.2, - "top_n": 8 - } + "answer": [], + "components": { + "begin": { + "obj": { + "component_name": "Begin", + "params": {} + }, + "downstream": [ + "Answer:SocialAdsWonder" + ], + "upstream": [] + }, + "Answer:SocialAdsWonder": { + "obj": { + "component_name": "Answer", + "params": {} + }, + "downstream": [ + "Retrieval:SillyPartsCheer", + "Retrieval:BrownStreetsRhyme", + "Retrieval:OddSingersRefuse" + ], + "upstream": [ + "begin", + "Switch:HotPartsTap" + ] + }, + "ExeSQL:CoolFactsChew": { + "obj": { + "component_name": "ExeSQL", + "params": { + "database": "Your DB name", + "db_type": "mysql", + "host": "Your IP Port", + "loop": 3, + "password": "Your Password", + "port": 3306, + "top_n": 9, + "username": "Your username" + } + }, + "downstream": [ + "Switch:HotPartsTap" + ], + "upstream": [ + "Generate:SmoothWombatsRemain", + "Generate:CuteSidesBuy" + ] + }, + "Switch:HotPartsTap": { + "obj": { + "component_name": "Switch", + "params": { + "conditions": [ + { + "items": [ + { + "cpn_id": "ExeSQL:CoolFactsChew", + "operator": "contains", + "value": "Error" }, - "upstream": [ - "Answer:SocialAdsWonder" - ] + { + "cpn_id": "ExeSQL:CoolFactsChew", + "operator": "contains", + "value": "**Error**" + } + ], + "logical_operator": "or", + "to": "Generate:SmoothWombatsRemain" + } + ], + "end_cpn_id": "Answer:SocialAdsWonder" + } + }, + "downstream": [ + "Answer:SocialAdsWonder", + "Generate:SmoothWombatsRemain" + ], + "upstream": [ + "ExeSQL:CoolFactsChew" + ] + }, + "Generate:SmoothWombatsRemain": { + "obj": { + "component_name": "Generate", + "params": { + "cite": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "parameters": [ + { + "component_id": "ExeSQL:CoolFactsChew", + "id": "9c452513-6ab9-4ffb-8676-d7475363bb70", + "key": "exesql_input" + } + ], + "presence_penalty": 0.4, + "prompt": "## You are the Repair SQL Statement Helper, please modify the original SQL statement based on the SQL query error report.\n\n## The contents of the SQL query error report and the original SQL statement are as follows:\n{exesql_input}\n\n## Answer only the modified SQL statement. Please do not give any explanation, just answer the code.", + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "ExeSQL:CoolFactsChew" + ], + "upstream": [ + "Switch:HotPartsTap" + ] + }, + "Generate:CuteSidesBuy": { + "obj": { + "component_name": "Generate", + "params": { + "cite": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "parameters": [ + { + "component_id": "Retrieval:SillyPartsCheer", + "id": "2a77e574-a0a6-4a1a-af39-cb192f1d21f5", + "key": "ddl_input" }, - "Switch:GreatTermsTeach": { - "downstream": [ - "Generate:FloppyHairsFix", - "Answer:SocialAdsWonder" - ], - "obj": { - "component_name": "Switch", - "params": { - "conditions": [ - { - "items": [ - { - "cpn_id": "ExeSQL:CoolFactsChew", - "operator": "contains", - "value": "Error" - }, - { - "cpn_id": "ExeSQL:CoolFactsChew", - "operator": "start with", - "value": "**Error**" - } - ], - "logical_operator": "or", - "to": "Generate:FloppyHairsFix" - } - ], - "end_cpn_id": "Answer:SocialAdsWonder" - } - }, - "upstream": [ - "ExeSQL:CoolFactsChew" - ] + { + "component_id": "Retrieval:OddSingersRefuse", + "id": "83941a85-0b59-408e-97e5-504964b0e090", + "key": "db_input" }, - "begin": { - "downstream": [ - "Answer:SocialAdsWonder" - ], - "obj": { - "component_name": "Begin", - "params": {} - }, - "upstream": [] + { + "component_id": "Retrieval:BrownStreetsRhyme", + "id": "c63d0ae6-7ee2-44a2-8a95-69d03c90cb44", + "key": "sql_input" } + ], + "presence_penalty": 0.4, + "prompt": "\n##The user provides a question and you provide SQL. 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Do not answer with any explanations -- just the code.", + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "ExeSQL:CoolFactsChew" + ], + "upstream": [ + "Retrieval:SillyPartsCheer", + "Retrieval:BrownStreetsRhyme", + "Retrieval:OddSingersRefuse" + ] + }, + "Retrieval:SillyPartsCheer": { + "obj": { + "component_name": "Retrieval", + "params": { + "empty_response": "Nothing found in DDL!", + "kb_ids": [], + "keywords_similarity_weight": 0.1, + "similarity_threshold": 0.02, + "top_n": 18 + } + }, + "downstream": [ + "Generate:CuteSidesBuy" + ], + "upstream": [ + "Answer:SocialAdsWonder" + ] + }, + "Retrieval:BrownStreetsRhyme": { + "obj": { + "component_name": "Retrieval", + "params": { + "empty_response": "Nothing found in Q->SQL!", + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "similarity_threshold": 0.2, + "top_n": 8 + } + }, + "downstream": [ + "Generate:CuteSidesBuy" + ], + "upstream": [ + "Answer:SocialAdsWonder" + ] + }, + "Retrieval:OddSingersRefuse": { + "obj": { + "component_name": "Retrieval", + "params": { + "empty_response": "Nothing found in DB-Description!", + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "similarity_threshold": 0.2, + "top_n": 8 + } + }, + "downstream": [ + "Generate:CuteSidesBuy" + ], + "upstream": [ + "Answer:SocialAdsWonder" + ] + } + }, + "graph": { + "nodes": [ + { + "data": { + "label": "Begin", + "name": "begin" }, - 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"nodes": [ - { - "data": { - "label": "Begin", - "name": "begin" - }, - "dragging": false, - "height": 50, - "id": "begin", - "position": { - "x": -502.15446588701354, - "y": 151.09869460419435 - }, - "positionAbsolute": { - "x": -502.15446588701354, - "y": 151.09869460419435 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "beginNode", - "width": 50 - }, - { - "data": { - "form": {}, - "label": "Answer", - "name": "interface" - }, - "dragging": false, - "height": 100, - "id": "Answer:SocialAdsWonder", - "position": { - "x": -277.29339621802814, - "y": 126.32295980639057 - }, - "positionAbsolute": { - "x": -277.29339621802814, - "y": 126.32295980639057 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { - "empty_response": "Nothing found in Q->SQL!", - "kb_ids": [ - "dd401bcc5b9e11efae770242ac160006" - ], - "keywords_similarity_weight": 0.3, - "similarity_threshold": 0.2, - "top_n": 8 - }, - "label": "Retrieval", - "name": "Q->SQL" - }, - "dragging": false, - "height": 100, - "id": "Retrieval:WetNewsHunt", - "position": { - "x": -36.09564951314297, - "y": 126.87871017707147 - }, - "positionAbsolute": { - "x": -36.09564951314297, - "y": 126.87871017707147 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { - "cite": true, - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "maxTokensEnabled": true, - "max_tokens": 256, - "message_history_window_size": 12, - "parameters": [ - { - "component_id": "Retrieval:StrongDrinksShare", - "id": "36c09e33-bad2-42fe-9a56-f136677bb405", - "key": "ddl_input" - }, - { - "component_id": "Retrieval:OpenWingsRepeat", - "id": "e4cfe15e-64cd-4351-b49e-0da2f5c8ec34", - "key": "db_input" - }, - { - "component_id": "Retrieval:WetNewsHunt", - "id": "946d8272-fc98-4040-a75f-502df7e4a42e", - 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Definition Language).\n\nSearches for relevent database creation statements.\n\nIt should bind with a KB to which DDL is dumped in.\nYou could use 'General' as parsing method and ';' as delimiter." + }, + "label": "Note", + "name": "N: DDL" + }, + "dragging": false, + "height": 266, + "id": "Note:GreenCrewsArrive", + "position": { + "x": 545.3423934788841, + "y": -166.58872868890683 + }, + "positionAbsolute": { + "x": 545.3423934788841, + "y": -166.58872868890683 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 266, + "width": 266 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 266, + "dragHandle": ".note-drag-handle" + }, + { + "data": { + "form": { + "text": "The large model learns which tables may be available based on the responses from three knowledge bases and converts the user's input into SQL statements." + }, + "label": "Note", + "name": "N: Generate SQL" + }, + "dragging": false, + "height": 175, + "id": 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" } diff --git a/agent/templates/HR_callout_zh.json b/agent/templates/HR_callout_zh.json index aec7472526..44643de4fd 100644 --- a/agent/templates/HR_callout_zh.json +++ b/agent/templates/HR_callout_zh.json @@ -4,722 +4,1550 @@ "description": "A recruitment pitch assistant capable of pitching a candidate, presenting a job opportunity, addressing queries, and requesting the candidate's contact details. Let's begin by linking a knowledge base containing the job description in 'Retrieval'!", "canvas_type": "chatbot", "dsl": { - "answer": [], - "components": { - "answer:0": { - "downstream": ["categorize:0"], - "obj": { - "component_name": "Answer", - "params": {} - }, - "upstream": ["begin", "message:reject"] - }, - "answer:1": { - "downstream": ["categorize:1"], - "obj": { - "component_name": "Answer", - "params": {} - }, - "upstream": [ - "generate:aboutJob", - "generate:nowechat", - "generate:get_wechat", - "message:introduction", - "generate:casual" - ] - }, - "begin": { - "downstream": ["answer:0"], - "obj": { - "component_name": "Begin", - "params": { - "prologue": "您好！我是Infiniflow 的HRBP，正在找寻AIGC方面的人才，了解到您是这方面的大佬，然后冒昧的就联系到您。这边有个机会想和您分享，RAGFlow正在招聘您这个岗位的资深的工程师不知道您那边是不是感兴趣？" - } - }, - "upstream": [] - }, - "categorize:0": { - "downstream": [ - "message:introduction", - "generate:casual", - "retrieval:0", - "message:reject" - ], - "obj": { - "component_name": "Categorize", - "params": { - "category_description": { - "about_job": { - "description": "该问题关于职位本身或公司的信息。", - "examples": "什么岗位？\n汇报对象是谁?\n公司多少人？\n公司有啥产品？\n具体工作内容是啥？\n地点哪里？\n双休吗？", - "to": "retrieval:0" - }, - "answer": { - "description": "该回答表示他对于该职位不感兴趣，或感觉受到骚扰。", - "examples": "不需要\n不感兴趣\n暂时不看\n不要\nno\n我已经不干这个了\n我不是这个方向的", - "to": "message:reject" - }, - "casual": { - "description": "该问题不关于职位本身或公司的信息，属于闲聊。", - "examples": "你好\n好久不见\n你男的女的？\n你是猴子派来的救兵吗？\n上午开会了?\n你叫啥？\n最近市场如何?生意好做吗？", - "to": "generate:casual" - }, - "interested": { - "description": "该回答表示他对于该职位感兴趣。", - "examples": "嗯\n说吧\n说说看\n还好吧\n是的\n哦\nyes\n具体说说", - "to": "message:introduction" - } - }, - "llm_id": "deepseek-chat" - } - }, - "upstream": ["answer:0"] - }, - "categorize:1": { - "downstream": [ - "generate:get_wechat", - "generate:nowechat", - "retrieval:0", - "generate:casual" - ], - "obj": { - "component_name": "Categorize", - "params": { - "category_description": { - "about_job": { - "description": "该问题关于职位本身或公司的信息。", - "examples": "什么岗位？\n汇报对象是谁?\n公司多少人？\n公司有啥产品？\n具体工作内容是啥？\n地点哪里？\n双休吗？", - "to": "retrieval:0" - }, - "casual": { - "description": "该问题不关于职位本身或公司的信息，属于闲聊。", - "examples": "你好\n好久不见\n你男的女的？\n你是猴子派来的救兵吗？\n上午开会了?\n你叫啥？\n最近市场如何?生意好做吗？", - "to": "generate:casual" - }, - "giveup": { - "description": "该回答表示他不愿意加微信。", - "examples": "不需要\n不感兴趣\n暂时不看\n不要\nno\n不方便\n不知道还要加我微信", - "to": "generate:nowechat" - }, - "wechat": { - "description": "该回答表示他愿意加微信,或者已经报了微信号。", - "examples": "嗯\n可以\n是的\n哦\nyes\n15002333453\nwindblow_2231", - "to": "generate:get_wechat" - } - }, - "llm_id": "deepseek-chat", - "message_history_window_size": 8 - } - }, - "upstream": ["answer:1"] - }, - "generate:aboutJob": { - "downstream": ["answer:1"], - "obj": { - "component_name": "Generate", - "params": { - "llm_id": "deepseek-chat", - "prompt": "你是公司的HR，候选人问了有关职位或公司的问题，你根据以下职位信息回答。如果职位信息中不包含候选人的问题就回答不清楚、不知道、有待确认等。回答完后引导候选人加微信号，如：\n - 方便加一下微信吗，我把JD发您看看？\n - 微信号多少，我把详细职位JD发您？\n 职位信息如下:\n {input}\n 职位信息如上。" - } - }, - "upstream": ["relevant:0", "retrieval:0"] - }, - "generate:casual": { - "downstream": ["answer:1"], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "llm_id": "deepseek-chat", - "message_history_window_size": 12, - "prompt": "你是公司负责招聘的HR，现在候选人的聊了和职位无关的话题，请耐心的回应候选人，并将话题往该AGI的职位上带，最好能要到候选人微信号以便后面保持联系。" - } - }, - "upstream": ["categorize:0", "categorize:1"] - }, - "generate:get_wechat": { - "downstream": ["answer:1"], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "llm_id": "deepseek-chat", - "message_history_window_size": 12, - "prompt": "你是公司负责招聘的HR，候选人表示不反感加微信，如果对方已经报了微信号，表示感谢和信任并表示马上会加上；如果没有，则问对方微信号多少。你的微信号是weixin_kevin，E-mail是kkk@ragflow.com。说话不要重复。不要总是您好。" - } - }, - "upstream": ["categorize:1"] - }, - "generate:nowechat": { - "downstream": ["answer:1"], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "llm_id": "deepseek-chat", - "message_history_window_size": 12, - "prompt": "你是公司负责招聘的HR，当你提出加微信时对方表示拒绝。你需要耐心礼貌的回应候选人，表示对于保护隐私信息给予理解，也可以询问他对该职位的看法和顾虑。并在恰当的时机再次询问微信联系方式。也可以鼓励候选人主动与你取得联系。你的微信号是weixin_kevin，E-mail是kkk@ragflow.com。说话不要重复。不要总是您好。" - } - }, - "upstream": ["categorize:1"] - }, - "message:introduction": { - "downstream": ["answer:1"], - "obj": { - "component_name": "Message", - "params": { - "messages": [ - "我简单介绍一下：\nRAGFlow 是一款基于深度文档理解构建的开源 RAG（Retrieval-Augmented Generation）引擎。RAGFlow 可以为各种规模的企业及个人提供一套精简的 RAG 工作流程，结合大语言模型（LLM）针对用户各类不同的复杂格式数据提供可靠的问答以及有理有据的引用。https://github.com/infiniflow/ragflow\n您那边还有什么要了解的？" - ] - } - }, - "upstream": ["categorize:0"] - }, - "message:reject": { - "downstream": ["answer:0"], - "obj": { - "component_name": "Message", - "params": { - "messages": [ - "好的，祝您生活愉快，工作顺利。", - "哦，好的，感谢您宝贵的时间！" - ] - } - }, - "upstream": ["categorize:0"] - }, - "retrieval:0": { - "downstream": ["generate:aboutJob"], - "obj": { - "component_name": "Retrieval", - "params": { - "kb_ids": [], - "keywords_similarity_weight": 0.3, - "rerank_id": "BAAI/bge-reranker-v2-m3", - "similarity_threshold": 0.2, - "top_k": 1024, - "top_n": 6 - } - }, - "upstream": ["categorize:0", "categorize:1"] - } - }, - "graph": { - "edges": [ - { - "id": "7a045a3d-5881-4a57-9467-75946941a642", - "label": "", - "source": "begin", - "target": "answer:0" - }, - { - "id": "9c6c78c1-532c-423d-9712-61c47a452f0e", - "label": "", - "source": "message:reject", - "target": "answer:0" - }, - { - "id": "e35ab5a1-9a64-44df-8eb6-c2f09204b6ff", - "label": "", - "source": "categorize:0", - "sourceHandle": "interested", - "target": "message:introduction" - }, - { - "id": "988d6196-6fc7-4004-88e2-d2b008366aa4", - "label": "", - "source": "categorize:0", - "sourceHandle": "casual", - "target": "generate:casual" - }, - { - "id": "1cdf2cbc-761b-4a2c-b84d-1cac54357a45", - "label": "", - "source": "categorize:0", - "sourceHandle": "about_job", - "target": "retrieval:0" - }, - { - "id": "12014f4f-a062-4155-bc08-f28d209c0a61", - "label": "", - "source": "categorize:1", - 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"reactflow__edge-categorize:1about_job-retrieval:0a", - "source": "categorize:1", - "sourceHandle": "about_job", - "target": "retrieval:0", - "targetHandle": "a", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-generate:aboutJoba-answer:1d", - "source": "generate:aboutJob", - "sourceHandle": "a", - "target": "answer:1", - "targetHandle": "d", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-generate:nowechatb-answer:1d", - "source": "generate:nowechat", - "sourceHandle": "b", - "target": "answer:1", - "targetHandle": "d", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-generate:get_wechatb-answer:1d", - "source": "generate:get_wechat", - "sourceHandle": "b", - "target": "answer:1", - "targetHandle": "d", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-message:introductionb-answer:1c", - "source": "message:introduction", - "sourceHandle": "b", - "target": "answer:1", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-generate:casualb-answer:1c", - "source": "generate:casual", - "sourceHandle": "b", - "target": "answer:1", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-categorize:1casual-generate:casuald", - "source": "categorize:1", - "sourceHandle": "casual", - "target": "generate:casual", - "targetHandle": "d", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-answer:1d-categorize:1c", - "source": "answer:1", - "sourceHandle": "d", - "target": "categorize:1", - "targetHandle": "c", - "type": "buttonEdge" - } - ], - "nodes": [ - { - "data": { - "form": { + "answer": [], + "components": { + "begin": { + "obj": { + "component_name": "Begin", + "params": { "prologue": "您好！我是英飞流负责招聘的HR，了解到您是这方面的大佬，然后冒昧的就联系到您。这边有个机会想和您分享，RAGFlow正在招聘您这个岗位的资深的工程师不知道您那边是不是感兴趣？" - }, - "label": "Begin", - "name": "开场白" - }, - "dragging": false, - "height": 50, - "id": "begin", - "position": { - "x": -692.1713416056568, - "y": 194.90435403074903 - }, - "positionAbsolute": { - "x": -692.1713416056568, - "y": 194.90435403074903 - }, - "selected": true, - "sourcePosition": "left", - "targetPosition": "right", - "type": "beginNode", - "width": 50 + } + }, + "downstream": [ + "answer:0" + ], + "upstream": [] }, - { - "data": { - "form": {}, - "label": "Answer", - "name": "交互1" - }, - "dragging": false, - "height": 100, - "id": "answer:0", - "position": { - "x": -513.0700577637697, - "y": 169.76025544916462 - }, - "positionAbsolute": { - "x": -513.0700577637697, - "y": 169.76025544916462 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 100 + "answer:0": { + "obj": { + "component_name": "Answer", + "params": {} + }, + "downstream": [ + "categorize:0" + ], + "upstream": [ + "begin", + "message:reject" + ] }, - { - "data": { - "form": { + "categorize:0": { + "obj": { + "component_name": "Categorize", + "params": { "category_description": { - "about_job": { + "answer": { "description": "该问题关于职位本身或公司的信息。", "examples": "什么岗位？\n汇报对象是谁?\n公司多少人？\n公司有啥产品？\n具体工作内容是啥？\n地点哪里？\n双休吗？", - "to": "retrieval:0" - }, - "answer": { - "description": "该回答表示他对于该职位不感兴趣，或感觉受到骚扰。", - "examples": "不需要\n不感兴趣\n暂时不看\n不要\nno\n我已经不干这个了\n我不是这个方向的", - "to": "message:reject" + "to": "Retrieval:ShaggyRadiosRetire" }, "casual": { "description": "该问题不关于职位本身或公司的信息，属于闲聊。", "examples": "你好\n好久不见\n你男的女的？\n你是猴子派来的救兵吗？\n上午开会了?\n你叫啥？\n最近市场如何?生意好做吗？", - "to": "generate:casual" + "to": "Generate:ProudEarsWorry" }, "interested": { "description": "该回答表示他对于该职位感兴趣。", "examples": "嗯\n说吧\n说说看\n还好吧\n是的\n哦\nyes\n具体说说", - "to": "message:introduction" + "to": "Message:MajorPigsYell" + }, + "reject": { + "description": "该回答表示他对于该职位不感兴趣，或感觉受到骚扰。", + "examples": "不需要\n不感兴趣\n暂时不看\n不要\nno\n我已经不干这个了\n我不是这个方向的", + "to": "message:reject" } }, - "llm_id": "deepseek-chat" - }, - "label": "Categorize", - "name": "是否感兴趣？" - }, - "dragging": false, - "height": 100, - "id": "categorize:0", - "position": { - "x": -309.96403785137636, - "y": 169.00239716590943 - }, - "positionAbsolute": { - "x": -309.96403785137636, - "y": 169.00239716590943 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "categorizeNode", - "width": 100 - }, - { - "data": { - "form": { - "messages": [ - "我简单介绍一下：\nRAGFlow 是一款基于深度文档理解构建的开源 RAG（Retrieval-Augmented Generation）引擎。RAGFlow 可以为各种规模的企业及个人提供一套精简的 RAG 工作流程，结合大语言模型（LLM）针对用户各类不同的复杂格式数据提供可靠的问答以及有理有据的引用。https://github.com/infiniflow/ragflow\n您那边还有什么要了解的？" - ] - }, - "label": "Message", - "name": "职位简介" - }, - "dragging": false, - "height": 100, - "id": "message:introduction", - "position": { - "x": -51.02519645488289, - "y": 349.6917583392981 - }, - "positionAbsolute": { - "x": -51.02519645488289, - "y": 349.6917583392981 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": {}, - "label": "Answer", - "name": "交互2" - }, - "dragging": false, - "height": 100, - "id": "answer:1", - "position": { - "x": 298.21364134074753, - "y": 213.98337252187758 - }, - "positionAbsolute": { - "x": 298.21364134074753, - "y": 213.98337252187758 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 100 + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 512, + "message_history_window_size": 1, + "presence_penalty": 0.4, + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "message:reject", + "Retrieval:ShaggyRadiosRetire", + "Generate:ProudEarsWorry", + "Message:MajorPigsYell" + ], + "upstream": [ + "answer:0" + ] }, - { - "data": { - "form": { + "categorize:1": { + "obj": { + "component_name": "Categorize", + "params": { "category_description": { "about_job": { "description": "该问题关于职位本身或公司的信息。", "examples": "什么岗位？\n汇报对象是谁?\n公司多少人？\n公司有啥产品？\n具体工作内容是啥？\n地点哪里？\n双休吗？", - "to": "retrieval:0" + "to": "Retrieval:ColdEelsArrive" }, "casual": { "description": "该问题不关于职位本身或公司的信息，属于闲聊。", "examples": "你好\n好久不见\n你男的女的？\n你是猴子派来的救兵吗？\n上午开会了?\n你叫啥？\n最近市场如何?生意好做吗？", - "to": "generate:casual" + "to": "Generate:ToughLawsCheat" }, "giveup": { "description": "该回答表示他不愿意加微信。", "examples": "不需要\n不感兴趣\n暂时不看\n不要\nno\n不方便\n不知道还要加我微信", - "to": "generate:nowechat" + "to": "Generate:DirtyToolsTrain" }, "wechat": { "description": "该回答表示他愿意加微信,或者已经报了微信号。", "examples": "嗯\n可以\n是的\n哦\nyes\n15002333453\nwindblow_2231", - "to": "generate:get_wechat" + "to": "Generate:KindCarrotsSit" } }, - "llm_id": "deepseek-chat", - "message_history_window_size": 8 - }, - "label": "Categorize", - "name": "可以加微信？" - }, - "dragging": false, - "height": 100, - "id": "categorize:1", - "position": { - "x": -119.93600563737203, - "y": -133.18866096986446 - }, - "positionAbsolute": { - "x": -119.93600563737203, - "y": -133.18866096986446 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "categorizeNode", - "width": 100 + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 512, + "message_history_window_size": 8, + "presence_penalty": 0.4, + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "Retrieval:ColdEelsArrive", + "Generate:ToughLawsCheat", + "Generate:KindCarrotsSit", + "Generate:DirtyToolsTrain" + ], + "upstream": [ + "Answer:TwentyMugsDeny" + ] }, - { - "data": { - "form": { + "message:reject": { + "obj": { + "component_name": "Message", + "params": { + "messages": [ + "好的，祝您生活愉快，工作顺利。", + "哦，好的，感谢您宝贵的时间！" + ] + } + }, + "downstream": [ + "answer:0" + ], + "upstream": [ + "categorize:0" + ] + }, + "Answer:TwentyMugsDeny": { + "obj": { + "component_name": "Answer", + "params": {} + }, + "downstream": [ + "categorize:1" + ], + "upstream": [ + "Message:MajorPigsYell", + "Generate:TruePawsReport", + "Generate:ToughLawsCheat", + "Generate:KindCarrotsSit", + "Generate:DirtyToolsTrain", + "Generate:FluffyPillowsGrow" + ] + }, + "Retrieval:ShaggyRadiosRetire": { + "obj": { + "component_name": "Retrieval", + "params": { + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "similarity_threshold": 0.2, + "top_k": 1024, + "top_n": 6 + } + }, + "downstream": [ + "Generate:TruePawsReport" + ], + "upstream": [ + "categorize:0" + ] + }, + "Generate:TruePawsReport": { + "obj": { + "component_name": "Generate", + "params": { "cite": false, - "llm_id": "deepseek-chat", + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, "message_history_window_size": 12, + "parameters": [], + "presence_penalty": 0.4, + "prompt": "你是公司负责招聘的HR，候选人问了有关职位或公司的问题，你根据以下职位信息回答。如果职位信息中不包含候选人的问题就回答不清楚、不知道、有待确认等。回答完后引导候选人加微信号，如：\n - 方便加一下微信吗，我把JD发您看看？\n - 微信号多少，我把详细职位JD发您？\n 职位信息如下:\n {input}\n 职位信息如上。", + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "Answer:TwentyMugsDeny" + ], + "upstream": [ + "Retrieval:ShaggyRadiosRetire" + ] + }, + "Generate:ProudEarsWorry": { + "obj": { + "component_name": "Generate", + "params": { + "cite": false, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "parameters": [], + "presence_penalty": 0.4, + "prompt": "你是公司负责招聘的HR，现在候选人的聊了和职位无关的话题，请耐心的回应候选人，并将话题往该AGI的职位上带，最好能要到候选人微信号以便后面保持联系。", + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [], + "upstream": [ + "categorize:0" + ] + }, + "Message:MajorPigsYell": { + "obj": { + "component_name": "Message", + "params": { + "messages": [ + "我简单介绍一下：\nRAGFlow 是一款基于深度文档理解构建的开源 RAG（Retrieval-Augmented Generation）引擎。RAGFlow 可以为各种规模的企业及个人提供一套精简的 RAG 工作流程，结合大语言模型（LLM）针对用户各类不同的复杂格式数据提供可靠的问答以及有理有据的引用。https://github.com/infiniflow/ragflow\n您那边还有什么要了解的？" + ] + } + }, + "downstream": [ + "Answer:TwentyMugsDeny" + ], + "upstream": [ + "categorize:0" + ] + }, + "Generate:ToughLawsCheat": { + "obj": { + "component_name": "Generate", + "params": { + "cite": false, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "parameters": [], + "presence_penalty": 0.4, "prompt": "你是公司负责招聘的HR，现在候选人的聊了和职位无关的话题，请耐心的回应候选人，并将话题往该AGI的职位上带，最好能要到候选人微信号以便后面保持联系。", - "temperature": 0.9 - }, - "label": "Generate", - "name": "闲聊" - }, - "dragging": false, - "height": 150, - "id": "generate:casual", - "position": { - "x": -48.359250171260534, - "y": 143.59859683874504 - }, - "positionAbsolute": { - "x": -48.359250171260534, - "y": 143.59859683874504 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 150 + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "Answer:TwentyMugsDeny" + ], + "upstream": [ + "categorize:1" + ] }, - { - "data": { - "form": { + "Retrieval:ColdEelsArrive": { + "obj": { + "component_name": "Retrieval", + "params": { "kb_ids": [], "keywords_similarity_weight": 0.3, - "rerank_id": "BAAI/bge-reranker-v2-m3", "similarity_threshold": 0.2, "top_k": 1024, "top_n": 6 - }, - "label": "Retrieval", - "name": "搜索职位信息" - }, - "dragging": false, - "height": 100, - "id": "retrieval:0", - "position": { - "x": -101.52202227916538, - "y": -358.45298158846384 - }, - "positionAbsolute": { - "x": -101.52202227916538, - "y": -358.45298158846384 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { - "llm_id": "deepseek-chat", - "prompt": "你是公司负责招聘的HR，候选人问了有关职位或公司的问题，你根据以下职位信息回答。如果职位信息中不包含候选人的问题就回答不清楚、不知道、有待确认等。回答完后引导候选人加微信号，如：\n - 方便加一下微信吗，我把JD发您看看？\n - 微信号多少，我把详细职位JD发您？\n 职位信息如下:\n {input}\n 职位信息如上。", - "temperature": 0.02 - }, - "label": "Generate", - "name": "回答职位信息并加微信" - }, - "dragging": false, - "height": 150, - "id": "generate:aboutJob", - "position": { - "x": 304.7173665956045, - "y": -385.9093198974024 - }, - "positionAbsolute": { - "x": 304.7173665956045, - "y": -385.9093198974024 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 150 + } + }, + "downstream": [ + "Generate:FluffyPillowsGrow" + ], + "upstream": [ + "categorize:1" + ] }, - { - "data": { - "form": { + "Generate:KindCarrotsSit": { + "obj": { + "component_name": "Generate", + "params": { "cite": false, - "llm_id": "deepseek-chat", + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, "message_history_window_size": 12, + "parameters": [], + "presence_penalty": 0.4, "prompt": "你是公司负责招聘的HR，候选人表示不反感加微信，如果对方已经报了微信号，表示感谢和信任并表示马上会加上；如果没有，则问对方微信号多少。你的微信号是weixin_kevin，E-mail是kkk@ragflow.com。说话不要重复。不要总是您好。", - "temperature": 0.1 - }, - "label": "Generate", - "name": "加微信" - }, - "dragging": false, - "height": 150, - "id": "generate:get_wechat", - "position": { - "x": 116.79445463510353, - "y": -67.85553023223919 - }, - "positionAbsolute": { - "x": 116.79445463510353, - "y": -67.85553023223919 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 150 + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "Answer:TwentyMugsDeny" + ], + "upstream": [ + "categorize:1" + ] }, - { - "data": { - "form": { + "Generate:DirtyToolsTrain": { + "obj": { + "component_name": "Generate", + "params": { "cite": false, - "llm_id": "deepseek-chat", + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, "message_history_window_size": 12, + "parameters": [], + "presence_penalty": 0.4, "prompt": "你是公司负责招聘的HR，当你提出加微信时对方表示拒绝。你需要耐心礼貌的回应候选人，表示对于保护隐私信息给予理解，也可以询问他对该职位的看法和顾虑。并在恰当的时机再次询问微信联系方式。也可以鼓励候选人主动与你取得联系。你的微信号是weixin_kevin，E-mail是kkk@ragflow.com。说话不要重复。不要总是您好。", - "temperature": 0.1 - }, - "label": "Generate", - "name": "不同意加微信后引导" - }, - "dragging": false, - "height": 150, - "id": "generate:nowechat", - "position": { - "x": 118.16110794816632, - "y": -274.2256218457169 - }, - "positionAbsolute": { - "x": 118.16110794816632, - "y": -274.2256218457169 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 150 + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "Answer:TwentyMugsDeny" + ], + "upstream": [ + "categorize:1" + ] }, - { - "data": { - "form": { - "messages": [ - "好的，祝您生活愉快，工作顺利。", - "哦，好的，感谢您宝贵的时间！" - ] - }, - "label": "Message", - "name": "再会" - }, - "dragging": false, - "height": 100, - "id": "message:reject", - "position": { - "x": -433.0908363083062, - "y": -25.10708583724005 - }, - "positionAbsolute": { - "x": -433.0908363083062, - "y": -25.10708583724005 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 100 + "Generate:FluffyPillowsGrow": { + "obj": { + "component_name": "Generate", + "params": { + "cite": false, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "parameters": [ + { + "id": "5166a107-e859-4c71-99a2-3a216c775347", + "key": "jd", + "component_id": "Retrieval:ColdEelsArrive" + } + ], + "presence_penalty": 0.4, + "prompt": "你是公司负责招聘的HR，候选人问了有关职位或公司的问题，你根据以下职位信息回答。如果职位信息中不包含候选人的问题就回答不清楚、不知道、有待确认等。回答完后引导候选人加微信号，如：\n - 方便加一下微信吗，我把JD发您看看？\n - 微信号多少，我把详细职位JD发您？\n 职位信息如下:\n {jd}\n 职位信息如上。", + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "Answer:TwentyMugsDeny" + ], + "upstream": [ + "Retrieval:ColdEelsArrive" + ] } - ] + }, + "embed_id": "", + "graph": { + "nodes": [ + { + "data": { + "form": { + "prologue": "您好！我是英飞流负责招聘的HR，了解到您是这方面的大佬，然后冒昧的就联系到您。这边有个机会想和您分享，RAGFlow正在招聘您这个岗位的资深的工程师不知道您那边是不是感兴趣？" + }, + "label": "Begin", + "name": "开场白" + }, + "dragging": false, + "height": 44, + "id": "begin", + "position": { + "x": -1034.5459371394727, + "y": -4.596073111491364 + }, + "positionAbsolute": { + "x": -1034.5459371394727, + "y": -4.596073111491364 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "beginNode", + "width": 100 + }, + { + "data": { + "form": {}, + "label": "Answer", + "name": "交互1" + }, + "dragging": false, + "height": 44, + "id": "answer:0", + "position": { + "x": -781.130188267973, + "y": -1.5248388351160145 + }, + "positionAbsolute": { + "x": -781.130188267973, + "y": -1.5248388351160145 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": { + "category_description": { + "answer": { + "description": "该问题关于职位本身或公司的信息。", + "examples": "什么岗位？\n汇报对象是谁?\n公司多少人？\n公司有啥产品？\n具体工作内容是啥？\n地点哪里？\n双休吗？", + "to": "Retrieval:ShaggyRadiosRetire" + }, + "casual": { + "description": "该问题不关于职位本身或公司的信息，属于闲聊。", + "examples": "你好\n好久不见\n你男的女的？\n你是猴子派来的救兵吗？\n上午开会了?\n你叫啥？\n最近市场如何?生意好做吗？", + "to": "Generate:ProudEarsWorry" + }, + "interested": { + "description": "该回答表示他对于该职位感兴趣。", + "examples": "嗯\n说吧\n说说看\n还好吧\n是的\n哦\nyes\n具体说说", + "to": "Message:MajorPigsYell" + }, + "reject": { + "description": "该回答表示他对于该职位不感兴趣，或感觉受到骚扰。", + "examples": "不需要\n不感兴趣\n暂时不看\n不要\nno\n我已经不干这个了\n我不是这个方向的", + "to": "message:reject" + } + }, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 512, + "message_history_window_size": 1, + "parameter": "Precise", + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Categorize", + "name": "是否感兴趣？" + }, + "dragging": false, + "height": 223, + "id": "categorize:0", + "position": { + "x": -511.7953063678477, + "y": -91.33627890840192 + }, + "positionAbsolute": { + "x": -511.7953063678477, + "y": -91.33627890840192 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "categorizeNode", + "width": 200 + }, + { + "data": { + "form": { + "category_description": { + "about_job": { + "description": "该问题关于职位本身或公司的信息。", + "examples": "什么岗位？\n汇报对象是谁?\n公司多少人？\n公司有啥产品？\n具体工作内容是啥？\n地点哪里？\n双休吗？", + "to": "Retrieval:ColdEelsArrive" + }, + "casual": { + "description": "该问题不关于职位本身或公司的信息，属于闲聊。", + "examples": "你好\n好久不见\n你男的女的？\n你是猴子派来的救兵吗？\n上午开会了?\n你叫啥？\n最近市场如何?生意好做吗？", + "to": "Generate:ToughLawsCheat" + }, + "giveup": { + "description": "该回答表示他不愿意加微信。", + "examples": "不需要\n不感兴趣\n暂时不看\n不要\nno\n不方便\n不知道还要加我微信", + "to": "Generate:DirtyToolsTrain" + }, + "wechat": { + "description": "该回答表示他愿意加微信,或者已经报了微信号。", + "examples": "嗯\n可以\n是的\n哦\nyes\n15002333453\nwindblow_2231", + "to": "Generate:KindCarrotsSit" + } + }, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 512, + "message_history_window_size": 8, + "parameter": "Precise", + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Categorize", + "name": "可以加微信？" + }, + "dragging": false, + "height": 223, + "id": "categorize:1", + "position": { + "x": 650.2305440350307, + "y": 54.40917808770183 + }, + "positionAbsolute": { + "x": 650.2305440350307, + "y": 54.40917808770183 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "categorizeNode", + "width": 200 + }, + { + "data": { + "form": { + "messages": [ + "好的，祝您生活愉快，工作顺利。", + "哦，好的，感谢您宝贵的时间！" + ] + }, + "label": "Message", + "name": "再会" + }, + "dragging": false, + "height": 44, + "id": "message:reject", + "position": { + "x": -506.16645843250325, + "y": 197.6224867858366 + }, + "positionAbsolute": { + "x": -506.16645843250325, + "y": 197.6224867858366 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": {}, + "label": "Answer", + "name": "交互2" + }, + "dragging": false, + "height": 44, + "id": "Answer:TwentyMugsDeny", + "position": { + "x": 361.4824760998825, + "y": 142.99203467677523 + }, + "positionAbsolute": { + "x": 361.4824760998825, + "y": 142.99203467677523 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": { + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "similarity_threshold": 0.2, + "top_k": 1024, + "top_n": 6 + }, + "label": "Retrieval", + "name": "搜索职位信息" + }, + "dragging": false, + "height": 44, + "id": "Retrieval:ShaggyRadiosRetire", + "position": { + "x": -200.47207828507428, + "y": -241.8885484926048 + }, + "positionAbsolute": { + "x": -200.47207828507428, + "y": -241.8885484926048 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "retrievalNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + 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" } diff --git a/agent/templates/customer_service.json b/agent/templates/customer_service.json index 9f4a810a30..3cea3029d3 100644 --- a/agent/templates/customer_service.json +++ b/agent/templates/customer_service.json @@ -4,617 +4,906 @@ "description": "A customer service chatbot that explains product specifications, addresses customer queries, and alleviates negative emotions.", "canvas_type": "chatbot", "dsl": { - "answer": [], - "components": { - "answer:0": { - "downstream": ["categorize:0", "generate:complain"], - "obj": { - "component_name": "Answer", - "params": {} - }, - "upstream": [ - "begin", - "message:get_contact", - "generate:casual", - "generate:answer", - "generate:ask_contact" - ] - }, - "begin": { - "downstream": ["answer:0"], - "obj": { - "component_name": "Begin", - "params": { - "prologue": "Hi! How can I help you?" - } - }, - "upstream": [] - }, - "categorize:0": { - "downstream": [ - "generate:casual", - "generate:complain", - "message:get_contact", - "retrieval:0" - ], - "obj": { - "component_name": "Categorize", - "params": { - "category_description": { - "answer": { - "description": "This answer provide a specific contact information, like e-mail, phone number, wechat number, line number, twitter, discord, etc,.", - "examples": "My phone number is 203921\nkevinhu.hk@gmail.com\nThis is my discord number: johndowson_29384", - "to": "message:get_contact" - }, - "casual": { - "description": "The question is not about the product usage, appearance and how it works. Just casual chat.", - "examples": "How are you doing?\nWhat is your name?\nAre you a robot?\nWhat's the weather?\nWill it rain?", - "to": "generate:casual" - }, - "complain": { - "description": "Complain even curse about the product or service you provide. But the comment is not specific enough.", - "examples": "How bad is it.\nIt's really sucks.\nDamn, for God's sake, can it be more steady?\nShit, I just can't use this shit.\nI can't stand it anymore.", - "to": "generate:complain" - }, - "product_related": { - "description": "The question is about the product usage, appearance and how it works.", - "examples": "Why it always beaming?\nHow to install it onto the wall?\nIt leaks, what to do?\nException: Can't connect to ES cluster\nHow to build the RAGFlow image from scratch", - "to": "retrieval:0" - } - }, - "llm_id": "deepseek-chat", - "message_history_window_size": 8 - } - }, - "upstream": ["answer:0"] - }, - "generate:answer": { - "downstream": ["answer:0"], - "obj": { - "component_name": "Generate", - "params": { - "llm_id": "deepseek-chat", - "prompt": "You are an intelligent assistant. Please answer the question based on content of knowledge base. When all knowledge base content is irrelevant to the question, your answer must include the sentence \"The answer you are looking for is not found in the knowledge base!\". Answers need to consider chat history.\n Knowledge base content is as following:\n {input}\n The above is the content of knowledge base." - } - }, - "upstream": ["relevant:0"] - }, - "generate:ask_contact": { - "downstream": ["answer:0"], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "llm_id": "deepseek-chat", - "message_history_window_size": 12, - "prompt": "You are a customer support. But you can't answer to customers' question. You need to request their contact like E-mail, phone number, Wechat number, LINE number, twitter, discord, etc,. Product experts will contact them later. Please do not ask the same question twice." - } - }, - "upstream": ["relevant:0"] - }, - "generate:casual": { - "downstream": ["answer:0"], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "llm_id": "deepseek-chat", - "message_history_window_size": 12, - "prompt": "You are a customer support. But the customer wants to have a casual chat with you instead of consulting about the product. Be nice, funny, enthusiasm and concern." - } - }, - "upstream": ["categorize:0"] - }, - "generate:complain": { - "downstream": ["answer:0"], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "llm_id": "deepseek-chat", - "message_history_window_size": 12, - "prompt": "You are a customer support. the Customers complain even curse about the products but not specific enough. You need to ask him/her what's the specific problem with the product. Be nice, patient and concern to soothe your customers’ emotions at first place." - } - }, - "upstream": ["categorize:0"] - }, - "message:get_contact": { - "downstream": ["answer:0"], - "obj": { - "component_name": "Message", - "params": { - "messages": [ - "Okay, I've already write this down. What else I can do for you?", - "Get it. What else I can do for you?", - "Thanks for your trust! Our expert will contact ASAP. So, anything else I can do for you?", - "Thanks! So, anything else I can do for you?" - ] - } - }, - "upstream": ["categorize:0"] - }, - "relevant:0": { - "downstream": ["generate:answer", "generate:ask_contact"], - "obj": { - "component_name": "Relevant", - "params": { - "llm_id": "deepseek-chat", - "no": "generate:ask_contact", - "temperature": 0.02, - "yes": "generate:answer" - } - }, - "upstream": ["retrieval:0"] - }, - "retrieval:0": { - "downstream": ["relevant:0"], - "obj": { - "component_name": "Retrieval", - "params": { - "kb_ids": [], - "keywords_similarity_weight": 0.3, - "rerank_id": "BAAI/bge-reranker-v2-m3", - "similarity_threshold": 0.2, - "top_k": 1024, - "top_n": 6 - } - }, - "upstream": ["categorize:0"] - } - }, - "graph": { - "edges": [ - { - "id": "63a2f242-8e71-4098-a46a-459a76d538bd", - "label": "", - "source": "begin", - "target": "answer:0" - }, - { - "id": "7f68384d-3441-4bfa-bf13-69af67e857d2", - "label": "", - "source": "categorize:0", - "sourceHandle": "casual", - "target": "generate:casual" - }, - { - "id": "c9bf8e81-9345-4885-b565-be2f5b16f6ef", - "label": "", - "source": "categorize:0", - "sourceHandle": "complain", - "target": "generate:complain" - }, - { - "id": "2f326699-621b-4d28-ab98-70d99ad21add", - "label": "", - "source": "categorize:0", - "sourceHandle": "answer", - "target": "message:get_contact" - }, - { - "id": "reactflow__edge-relevant:0yes-generate:answerc", - "source": "relevant:0", - "sourceHandle": "yes", - "target": "generate:answer", - "targetHandle": "c" - }, - { - "id": "reactflow__edge-relevant:0no-generate:ask_contactc", - "source": "relevant:0", - "sourceHandle": "no", - "target": "generate:ask_contact", - "targetHandle": "c" - }, - { - "id": "reactflow__edge-message:get_contactb-answer:0c", - "markerEnd": "logo", - "source": "message:get_contact", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "answer:0", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-generate:casualb-answer:0d", - "markerEnd": "logo", - "source": "generate:casual", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "answer:0", - "targetHandle": "d", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-generate:answerb-answer:0d", - "markerEnd": "logo", - "source": "generate:answer", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "answer:0", - "targetHandle": "d", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-categorize:0product_related-retrieval:0a", - "markerEnd": "logo", - "source": "categorize:0", - "sourceHandle": "product_related", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "retrieval:0", - "targetHandle": "a", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-retrieval:0d-relevant:0c", - "markerEnd": "logo", - "source": "retrieval:0", - "sourceHandle": "d", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "relevant:0", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-answer:0c-categorize:0c", - "markerEnd": "logo", - "source": "answer:0", - "sourceHandle": "c", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "categorize:0", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-answer:0a-generate:complaind", - "markerEnd": "logo", - "source": "generate:complain", - "sourceHandle": "a", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "answer:0", - "targetHandle": "d", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-generate:ask_contacta-answer:0d", - "markerEnd": "logo", - "source": "generate:ask_contact", - "sourceHandle": "a", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "answer:0", - "targetHandle": "d", - "type": "buttonEdge" - } - ], - "nodes": [ - { - "data": { - "form": { + "answer": [], + "components": { + "begin": { + "obj": { + "component_name": "Begin", + "params": { "prologue": "Hi! How can I help you?" - }, - "label": "Begin", - "name": "Opener" - }, - "dragging": false, - "height": 50, - "id": "begin", - "position": { - "x": 404.55092213629115, - "y": 296.8772566137603 - }, - "positionAbsolute": { - "x": 404.55092213629115, - "y": 296.8772566137603 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "beginNode", - "width": 50 - }, - { - "data": { - "form": {}, - "label": "Answer", - "name": "Interface" - }, - "dragging": false, - "height": 100, - "id": "answer:0", - "position": { - "x": 638.4631551507972, - "y": 71.36899317395626 - }, - "positionAbsolute": { - "x": 638.4631551507972, - "y": 71.36899317395626 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { + } + }, + "downstream": [ + "answer:0" + ], + "upstream": [] + }, + "answer:0": { + "obj": { + "component_name": "Answer", + "params": {} + }, + "downstream": [ + "Categorize:EightyWavesEnd" + ], + "upstream": [ + "Message:GoodBugsTurn", + "Generate:HipWallsFollow", + "Generate:FullBeersSit", + "begin", + "Generate:YoungTrainsSee" + ] + }, + "Categorize:EightyWavesEnd": { + "obj": { + "component_name": "Categorize", + "params": { "category_description": { - "answer": { + "1. contact": { "description": "This answer provide a specific contact information, like e-mail, phone number, wechat number, line number, twitter, discord, etc,.", "examples": "My phone number is 203921\nkevinhu.hk@gmail.com\nThis is my discord number: johndowson_29384", - "to": "message:get_contact" + "to": "Message:GoodBugsTurn" }, - "casual": { + "2. casual": { "description": "The question is not about the product usage, appearance and how it works. Just casual chat.", "examples": "How are you doing?\nWhat is your name?\nAre you a robot?\nWhat's the weather?\nWill it rain?", - "to": "generate:casual" + "to": "Generate:HipWallsFollow" }, - "complain": { + "3. complain": { "description": "Complain even curse about the product or service you provide. But the comment is not specific enough.", "examples": "How bad is it.\nIt's really sucks.\nDamn, for God's sake, can it be more steady?\nShit, I just can't use this shit.\nI can't stand it anymore.", - "to": "generate:complain" + "to": "Generate:FullBeersSit" }, - "product_related": { + "4. product related": { "description": "The question is about the product usage, appearance and how it works.", "examples": "Why it always beaming?\nHow to install it onto the wall?\nIt leaks, what to do?\nException: Can't connect to ES cluster\nHow to build the RAGFlow image from scratch", - "to": "retrieval:0" + "to": "RewriteQuestion:AllNightsSniff" } }, - "llm_id": "deepseek-chat", - "message_history_window_size": 8 - }, - "label": "Categorize", - "name": "Question Categorize" - }, - "dragging": false, - "height": 100, - "id": "categorize:0", - "position": { - "x": -5.661990007284574, - "y": 461.0436851280078 - }, - "positionAbsolute": { - "x": -5.661990007284574, - "y": 461.0436851280078 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "categorizeNode", - "width": 100 - }, - { - "data": { - "form": { - "cite": false, - "llm_id": "deepseek-chat", - "message_history_window_size": 12, - "prompt": "You are a customer support. But the customer wants to have a casual chat with you instead of consulting about the product. Be nice, funny, enthusiasm and concern.", - "temperature": 0.9 - }, - "label": "Generate", - "name": "Casual chat" - }, - "dragging": false, - "height": 150, - "id": "generate:casual", - "position": { - "x": 314.3012082990795, - "y": -86.46384197439605 - }, - "positionAbsolute": { - "x": 314.3012082990795, - "y": -86.46384197439605 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 150 - }, - { - "data": { - "form": { + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 512, + "message_history_window_size": 8, + "presence_penalty": 0.4, + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "RewriteQuestion:AllNightsSniff", + "Generate:FullBeersSit", + "Generate:HipWallsFollow", + "Message:GoodBugsTurn" + ], + "upstream": [ + "answer:0" + ] + }, + "Generate:YoungTrainsSee": { + "obj": { + "component_name": "Generate", + "params": { "cite": false, - "llm_id": "deepseek-chat", + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, "message_history_window_size": 12, - "prompt": "You are a customer support. the Customers complain even curse about the products but not specific enough. You need to ask him/her what's the specific problem with the product. Be nice, patient and concern to soothe your customers’ emotions at first place.", - "temperature": 0.9 - }, - "label": "Generate", - "name": "Soothe mood" - }, - "dragging": false, - "height": 150, - "id": "generate:complain", - "position": { - "x": 638.3075558015155, - "y": 397.78425175650347 - }, - "positionAbsolute": { - "x": 638.3075558015155, - "y": 397.78425175650347 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 150 - }, - { - "data": { - "form": { + "parameters": [], + "presence_penalty": 0.4, + "prompt": "Role: You are a customer support. \n\nTask: Please answer the question based on content of knowledge base. \n\nReuirements & restrictions:\n - DO NOT make things up when all knowledge base content is irrelevant to the question. \n - Answers need to consider chat history.\n - Request about customer's contact information like, Wechat number, LINE number, twitter, discord, etc,. , when knowlegebase content can't answer his question. So, product expert could contact him soon to solve his problem.\n\n Knowledge base content is as following:\n {input}\n The above is the content of knowledge base.", + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "answer:0" + ], + "upstream": [ + "Retrieval:WholeStarsDrive" + ] + }, + "Retrieval:WholeStarsDrive": { + "obj": { + "component_name": "Retrieval", + "params": { "kb_ids": [], "keywords_similarity_weight": 0.3, - "rerank_id": "BAAI/bge-reranker-v2-m3", "similarity_threshold": 0.2, "top_k": 1024, "top_n": 6 - }, - "label": "Retrieval", - "name": "Search product info" - }, - "dragging": false, - "height": 100, - "id": "retrieval:0", - "position": { - "x": 46.056812569554474, - "y": -107.6498359566391 - }, - "positionAbsolute": { - "x": 46.056812569554474, - "y": -107.6498359566391 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { - "llm_id": "deepseek-chat", - "no": "generate:ask_contact", - "temperature": 0.02, - "yes": "generate:answer" - }, - "label": "Relevant", - "name": "Relevant?" - }, - "dragging": false, - "height": 70, - "id": "relevant:0", - "position": { - "x": 46.93961268163955, - "y": -332.00374591025786 - }, - "positionAbsolute": { - "x": 46.93961268163955, - "y": -332.00374591025786 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "relevantNode", - "width": 70 - }, - { - "data": { - "form": { - "llm_id": "deepseek-chat", - "prompt": "You are an intelligent assistant. Please answer the question based on content of knowledge base. When all knowledge base content is irrelevant to the question, your answer must include the sentence \"The answer you are looking for is not found in the knowledge base!\". Answers need to consider chat history.\n Knowledge base content is as following:\n {input}\n The above is the content of knowledge base.", - "temperature": 0.02 - }, - "label": "Generate", - "name": "Product info" - }, - "dragging": false, - "height": 150, - "id": "generate:answer", - "position": { - "x": 413.5337945397181, - "y": -255.54195657210374 - }, - "positionAbsolute": { - "x": 413.5337945397181, - "y": -255.54195657210374 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 150 - }, - { - "data": { - "form": { - "cite": false, - "llm_id": "deepseek-chat", - "message_history_window_size": 12, - "prompt": "You are a customer support. But you can't answer to customers' question. You need to request their contact like E-mail, phone number, Wechat number, LINE number, twitter, discord, etc,. Product experts will contact them later. Please do not ask the same question twice.", - "temperature": 0.9 - }, - "label": "Generate", - "name": "Request contact" - }, - "dragging": false, - "height": 150, - "id": "generate:ask_contact", - "position": { - "x": 636.1639603425758, - "y": -391.62634222619454 - }, - "positionAbsolute": { - "x": 636.1639603425758, - "y": -391.62634222619454 - }, - "selected": true, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 150 - }, - { - "data": { - "form": { + } + }, + "downstream": [ + "Generate:YoungTrainsSee" + ], + "upstream": [ + "RewriteQuestion:AllNightsSniff" + ] + }, + "Message:GoodBugsTurn": { + "obj": { + "component_name": "Message", + "params": { "messages": [ "Okay, I've already write this down. What else I can do for you?", "Get it. What else I can do for you?", "Thanks for your trust! Our expert will contact ASAP. So, anything else I can do for you?", "Thanks! So, anything else I can do for you?" ] - }, - "label": "Message", - "name": "What else?" - }, - "dragging": false, - "height": 100, - "id": "message:get_contact", - "position": { - "x": 261.48313054267913, - "y": 119.6490357959155 - }, - "positionAbsolute": { - "x": 261.48313054267913, - "y": 119.6490357959155 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 100 + } + }, + "downstream": [ + "answer:0" + ], + "upstream": [ + "Categorize:EightyWavesEnd" + ] + }, + "Generate:HipWallsFollow": { + "obj": { + "component_name": "Generate", + "params": { + "cite": false, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "parameters": [], + "presence_penalty": 0.4, + "prompt": "You are a customer support. But the customer wants to have a casual chat with you instead of consulting about the product. Be nice, funny, enthusiasm and concern.", + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "answer:0" + ], + "upstream": [ + "Categorize:EightyWavesEnd" + ] + }, + "Generate:FullBeersSit": { + "obj": { + "component_name": "Generate", + "params": { + "cite": false, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "parameters": [], + "presence_penalty": 0.4, + "prompt": "You are a customer support. the Customers complain even curse about the products but not specific enough. You need to ask him/her what's the specific problem with the product. Be nice, patient and concern to soothe your customers’ emotions at first place.", + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "answer:0" + ], + "upstream": [ + "Categorize:EightyWavesEnd" + ] + }, + "RewriteQuestion:AllNightsSniff": { + "obj": { + "component_name": "RewriteQuestion", + "params": { + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "loop": 1, + "maxTokensEnabled": true, + "max_tokens": 256, + "parameter": "Precise", + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + } + }, + "downstream": [ + "Retrieval:WholeStarsDrive" + ], + "upstream": [ + "Categorize:EightyWavesEnd" + ] } - ] + }, + "embed_id": "", + "graph": { + "nodes": [ + { + "data": { + "form": { + "prologue": "Hi! How can I help you?" + }, + "label": "Begin", + "name": "Opener" + }, + "dragging": false, + "height": 44, + "id": "begin", + "position": { + "x": 392.4805720357097, + "y": -51.634011497163186 + }, + "positionAbsolute": { + "x": 392.4805720357097, + "y": -51.634011497163186 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "beginNode", + "width": 100 + }, + { + "data": { + "form": {}, + "label": "Answer", + "name": "Interface" + }, + "dragging": false, + "height": 44, + "id": "answer:0", + "position": { + "x": 248.41227675535197, + "y": 216.6631932412045 + }, + "positionAbsolute": { + "x": 248.41227675535197, + "y": 216.6631932412045 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": { + "category_description": { + "1. contact": { + "description": "This answer provide a specific contact information, like e-mail, phone number, wechat number, line number, twitter, discord, etc,.", + "examples": "My phone number is 203921\nkevinhu.hk@gmail.com\nThis is my discord number: johndowson_29384", + "to": "Message:GoodBugsTurn" + }, + "2. casual": { + "description": "The question is not about the product usage, appearance and how it works. Just casual chat.", + "examples": "How are you doing?\nWhat is your name?\nAre you a robot?\nWhat's the weather?\nWill it rain?", + "to": "Generate:HipWallsFollow" + }, + "3. complain": { + "description": "Complain even curse about the product or service you provide. But the comment is not specific enough.", + "examples": "How bad is it.\nIt's really sucks.\nDamn, for God's sake, can it be more steady?\nShit, I just can't use this shit.\nI can't stand it anymore.", + "to": "Generate:FullBeersSit" + }, + "4. product related": { + "description": "The question is about the product usage, appearance and how it works.", + "examples": "Why it always beaming?\nHow to install it onto the wall?\nIt leaks, what to do?\nException: Can't connect to ES cluster\nHow to build the RAGFlow image from scratch", + "to": "RewriteQuestion:AllNightsSniff" + } + }, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 512, + "message_history_window_size": 8, + "parameter": "Precise", + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Categorize", + "name": "Question Categorize" + }, + "dragging": false, + "height": 223, + "id": "Categorize:EightyWavesEnd", + "position": { + "x": -47.29188154660176, + "y": 702.9033359893137 + }, + "positionAbsolute": { + "x": -47.29188154660176, + "y": 702.9033359893137 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "categorizeNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You are a customer support. \n\nTask: Please answer the question based on content of knowledge base. \n\nReuirements & restrictions:\n - DO NOT make things up when all knowledge base content is irrelevant to the question. \n - Answers need to consider chat history.\n - Request about customer's contact information like, Wechat number, LINE number, twitter, discord, etc,. , when knowlegebase content can't answer his question. 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What else I can do for you?", + "Get it. What else I can do for you?", + "Thanks for your trust! Our expert will contact ASAP. So, anything else I can do for you?", + "Thanks! So, anything else I can do for you?" + ] + }, + "label": "Message", + "name": "What else?" + }, + "dragging": false, + "height": 185, + "id": "Message:GoodBugsTurn", + "position": { + "x": 255.51379306491577, + "y": 378.5054855804349 + }, + "positionAbsolute": { + "x": 255.51379306491577, + "y": 378.5054855804349 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "messageNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "You are a customer support. But the customer wants to have a casual chat with you instead of consulting about the product. Be nice, funny, enthusiasm and concern.", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Casual chat" + }, + "dragging": false, + "height": 86, + "id": "Generate:HipWallsFollow", + "position": { + "x": 284.06028065118653, + "y": 644.4392986871846 + }, + "positionAbsolute": { + "x": 284.06028065118653, + "y": 644.4392986871846 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "You are a customer support. the Customers complain even curse about the products but not specific enough. 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218 + }, + { + "data": { + "form": { + "text": "The large model returns the product information needed by the user based on the content in the knowledge base." + }, + "label": "Note", + "name": "N: Product info" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 146, + "id": "Note:VastBusesStop", + "position": { + "x": 631.2555350351256, + "y": 39.608910328453874 + }, + "positionAbsolute": { + "x": 631.2555350351256, + "y": 39.608910328453874 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 146, + "width": 239 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 239 + }, + { + "data": { + "form": { + "text": "Static messages.\nDefine replys after recieve user's contact information." + }, + "label": "Note", + "name": "N: What else?" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:YellowSlothsCall", + "position": { + "x": 555.9717758467305, + "y": 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"label": "Note", + "name": "N: Search product info" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 163, + "id": "Note:PurpleReadersLike", + "position": { + "x": 713.5806084319482, + "y": 962.5655101584402 + }, + "positionAbsolute": { + "x": 713.5806084319482, + "y": 962.5655101584402 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 163, + "width": 271 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 271 + }, + { + "data": { + "form": { + "text": "Complete questions by conversation history.\nUser: What's RAGFlow?\nAssistant: RAGFlow is xxx.\nUser: How to deloy it?\n\nRefine it: How to deploy RAGFlow?" + }, + "label": "Note", + "name": "N: Refine Question" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:TidyJarsCarry", + "position": { + "x": 360.7515003553832, + "y": 968.8600371483907 + }, + "positionAbsolute": { + "x": 360.7515003553832, + "y": 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" } diff --git a/agent/templates/general_chat_bot.json b/agent/templates/general_chat_bot.json index 1e46c6e962..1abdddcfbc 100644 --- a/agent/templates/general_chat_bot.json +++ b/agent/templates/general_chat_bot.json @@ -4,1186 +4,235 @@ "description": "A general-purpose chat bot whose fields involved include healthcare, finance, emotional communication, real-time weather, and information.", "canvas_type": "chatbot", "dsl": { - "answer": [], - "components": { - "AkShare:CalmHotelsKnow": { - "downstream": [ - "Generate:RottenMangosSmash" - ], - "obj": { - "component_name": "AkShare", - "params": { - "message_history_window_size": 22, - "output": null, - "output_var_name": "output", - "top_n": 10 - } - }, - "upstream": [ - "KeywordExtract:AllGarlicsPress" - ] - }, - "Answer:GiantToysFilm": { - "downstream": [ - "Categorize:KhakiTimesSmile" - ], - "obj": { - "component_name": "Answer", - "params": { - "message_history_window_size": 22, - "output": null, - "output_var_name": "output", - "post_answers": [] - } - }, - "upstream": [ - "Generate:LazyWorldsShout", - "Generate:ManyMelonsNail", - "Generate:CruelTaxisType", - "Generate:RottenMangosSmash", - "Generate:SlickLightsWish" - ] - }, - "Baidu:CleanJarsMake": { - "downstream": [ - "Generate:ManyMelonsNail" - ], - "obj": { - "component_name": "Baidu", - "params": { - "message_history_window_size": 22, - "output": null, - "output_var_name": "output", - "top_n": 10 - } - }, - "upstream": [ - "KeywordExtract:SlowFeetHappen" - ] - }, - "Categorize:KhakiTimesSmile": { - "downstream": [ - "Concentrator:DryTrainsSearch", - "Concentrator:TrueGeckosSlide", - "Generate:LazyWorldsShout", - "KeywordExtract:SlowFeetHappen", - "QWeather:DeepKiwisTeach" - ], - "obj": { - "component_name": "Categorize", - "params": { - "category_description": { - "chitchatting": { - "description": "Regarding the issues of small talk, companionship, sharing, and emotional intimacy", - "examples": "What's your name?\nAre you female o male.\nWhat a bad day!\nTerrible day.\nHow are you today?\nDo you have boy friend?", - "to": "Generate:LazyWorldsShout" - }, - "finance": { - "description": "Question is about finace/economic information, stock market, economic news.", - "examples": "昨日涨幅大于5%的军工股？\nStocks have MACD buyin signals？\nWhen is the next interest rate cut by the Federal Reserve?\n国家救市都有哪些举措？", - "to": "Concentrator:TrueGeckosSlide" - }, - "medical": { - "description": "Question is about medical issue, health, illness or medicine etc,.", - "examples": "How to relieve the headache?\nCan't sleep, what to do?\nWhat the effect of coffee in terms of losing weight?", - "to": "Concentrator:DryTrainsSearch" - }, - "other": { - "description": "", - "to": "KeywordExtract:SlowFeetHappen" - }, - "weather": { - "description": "Question is about weather.", - "examples": "Will it rain tomorrow?\nIs it sunny next day?\nWhat is average temperature next week?", - "to": "QWeather:DeepKiwisTeach" - } - }, - "cite": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 256, - "message_history_window_size": 22, - "output": null, - "output_var_name": "output", - "parameters": [], - "presence_penalty": 0.4, - "prompt": "", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "answer:0", - "Answer:GiantToysFilm" - ] - }, - "Concentrator:DryTrainsSearch": { - "downstream": [ - "Generate:EagerBerriesHeal", - "Generate:KindDonkeysLook" - ], - "obj": { - "component_name": "Concentrator", - "params": { - "message_history_window_size": 22, - "output": null, - "output_var_name": "output" - } - }, - "upstream": [ - "Categorize:KhakiTimesSmile" - ] - }, - "Concentrator:TrueGeckosSlide": { - "downstream": [ - "WenCai:TenParksOpen", - "KeywordExtract:AllGarlicsPress" - ], - "obj": { - "component_name": "Concentrator", - "params": { - "message_history_window_size": 22, - "output": null, - "output_var_name": "output" - } - }, - "upstream": [ - "Categorize:KhakiTimesSmile" - ] - }, - "DuckDuckGo:NiceSeasInvent": { - "downstream": [ - "Generate:ManyMelonsNail" - ], - "obj": { - "component_name": "DuckDuckGo", - "params": { - "channel": "text", - "message_history_window_size": 22, - "output": null, - "output_var_name": "output", - "top_n": 10 - } - }, - "upstream": [ - "KeywordExtract:SlowFeetHappen" - ] - }, - "Generate:CruelTaxisType": { - "downstream": [ - "Answer:GiantToysFilm" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 0, - "message_history_window_size": 12, - "output": null, - "output_var_name": "output", - "parameters": [ - { - "component_id": "Retrieval:HipIslandsArrive", - "id": "7cfaa44c-71b0-4659-ad4f-e36b9bc1a2b9", - "key": "kb_input" - }, - { - "component_id": "PubMed:EasyQueensLose", - "id": "3b56ae40-5751-45b3-a72a-d26cc4fcdf7e", - "key": "pm_input" - } - ], - "presence_penalty": 0.4, - "prompt": "Role: You are a professional medical consulting assistant\n\nTasks: Answer questions posed by users. Answer based on content provided by the knowledge base, PubMed\n\nRequirement:\n- Answers may refer to the content provided (Knowledge Base, PubMed).\n- If the provided PubMed content is referenced, a link to the corresponding URL should be given.\n-Answers should be professional and accurate; no information should be fabricated that is not relevant to the user's question.\n\nProvided knowledge base content\n{kb_input}\n\nPubMed content provided\n{pm_input}", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "PubMed:EasyQueensLose", - "Retrieval:HipIslandsArrive" - ] - }, - "Generate:EagerBerriesHeal": { - "downstream": [ - "Retrieval:HipIslandsArrive" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 0, - "message_history_window_size": 12, - "output": null, - "output_var_name": "output", - "parameters": [], - "presence_penalty": 0.4, - "prompt": "Role: You are a professional medical consulting translation assistant\n\nTask: Translate user questions into Chinese, ensuring accuracy of medical terminology and appropriateness of context.\n\nRequirements:\n- Accurately translate medical terminology to convey the integrity and emotional color of the original message.\n- For unclear or uncertain medical terminology, the original text may be retained to ensure accuracy.\n- Respect the privacy and sensitivity of medical consultations and ensure that sensitive information is not disclosed during the translation process.\n- If the user's question is in Chinese, there is no need to translate, just output the user's question directly\n\nExample:\nOriginal (English): Doctor, I have been suffering from chest pain and shortness of breath for the past few days.\nTranslation (Chinese): 医生，我这几天一直胸痛和气短。\n\nNote:\nOnly the translated content needs to be output, no other irrelevant content!", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Concentrator:DryTrainsSearch" - ] - }, - "Generate:KindDonkeysLook": { - "downstream": [ - "PubMed:EasyQueensLose" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 0, - "message_history_window_size": 12, - "output": null, - "output_var_name": "output", - "parameters": [], - "presence_penalty": 0.4, - "prompt": "Role: You are a professional Chinese-English medical question translation assistant\n\nTask: Accurately translate users' Chinese medical question content into English, ensuring accuracy of terminology and clarity of expression\n\nRequirements:\n- In-depth understanding of the terminology and disease descriptions in Chinese medical inquiries to ensure correct medical vocabulary is used in the English translation.\n- Maintain the semantic integrity and accuracy of the original text to avoid omitting important information or introducing errors.\n- Pay attention to the differences in expression habits between Chinese and English, and make appropriate adjustments to make the English translation more natural and fluent.\n- Respect the patient's privacy and the principle of medical confidentiality, and do not disclose any sensitive information during the translation process.\n\nExample：\nOriginal sentence: 我最近总是感觉胸闷，有时还会有心悸的感觉。\nTranslated: I've been feeling chest tightness recently, and sometimes I experience palpitations.\n\nNote:\nOnly the translated content should be given, do not output other irrelevant content!", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Concentrator:DryTrainsSearch" - ] - }, - "Generate:LazyWorldsShout": { - "downstream": [ - "Answer:GiantToysFilm" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 256, - "message_history_window_size": 12, - "output": null, - "output_var_name": "output", - "parameters": [], - "presence_penalty": 0.4, - "prompt": "Role: You‘re warm-hearted lovely young girl, 22 years old, located at Shanghai in China. Your name is R. Who are talking to you is your very good old friend of yours.\n\nTask: \n- Chat with the friend.\n- Ask question and care about them.\n- Provide useful advice to your friend.\n- Tell jokes to make your firend happy.\n\nThe following is the weatcher information:\n{weather}", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Categorize:KhakiTimesSmile" - ] - }, - "Generate:ManyMelonsNail": { - "downstream": [ - "Answer:GiantToysFilm" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 0, - "message_history_window_size": 12, - "output": null, - "output_var_name": "output", - "parameters": [ - { - "component_id": "Wikipedia:ThinLampsTravel", - "id": "9f78201a-b9fc-45b9-8e1d-cd0cab5dd94d", - "key": "wikipedia" - }, - { - "component_id": "Baidu:CleanJarsMake", - "id": "45062b1e-d5b1-4b3e-a0c6-20c5574100d2", - "key": "baidu" - }, - { - "component_id": "DuckDuckGo:NiceSeasInvent", - "id": "f7ae435e-9edf-4833-9978-401bc597e7f8", - "key": "duckduckgo" - } - ], - "presence_penalty": 0.4, - "prompt": "Role: You‘re warm-hearted lovely assistant, young girl, 22 years old, located at Shanghai in China. Your name is R. \n\nTask: Chat with user. Answer the question based on the provided content from: Knowledge Base, Wikipedia, Duckduckgo, Baidu.\n\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all sources(Wikipedia, Duckduckgo, Baidu) as long as they are relevant, and label the sources of the cited content separately.\n - Attach URL links to the content which is quoted from Wikipedia, DuckDuckGo or Baidu.\n - Do not make thing up when there's no relevant information to user's question. \n\n\n## Wikipedia content\n{wikipedia}\n\n\n## Duckduckgo content\n{duckduckgo}\n\n\n## Baidu content\n{baidu}", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "DuckDuckGo:NiceSeasInvent", - "Baidu:CleanJarsMake", - "Wikipedia:ThinLampsTravel" - ] - }, - "Generate:RottenMangosSmash": { - "downstream": [ - "Answer:GiantToysFilm" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "max_tokens": 0, - "message_history_window_size": 0, - "output": null, - "output_var_name": "output", - "parameters": [ - { - "component_id": "WenCai:TenParksOpen", - "id": "6045431c-3206-4aae-8f4e-c36c27c488d1", - "key": "wencai_input" - }, - { - "component_id": "AkShare:CalmHotelsKnow", - "id": "1eca5d40-9718-4a62-8e4c-afbd48fd3929", - "key": "ak_input" - } - ], - "presence_penalty": 0.4, - "prompt": "Role: You are a professional financial counseling assistant.\n\nTask: Answer user's question based on content provided by Wencai and AkShare.\n\nNotice:\n- Output no more than 5 news items from AkShare if there's content provided by Wencai.\n- Items from AkShare MUST have a corresponding URL link.\n\n############\nContent provided by Wencai: \n{wencai_input}\n\n################\nContent provided by AkShare: \n{ak_input}\n", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "WenCai:TenParksOpen", - "AkShare:CalmHotelsKnow" - ] - }, - "Generate:SlickLightsWish": { - "downstream": [ - "Answer:GiantToysFilm" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "message_history_window_size": 12, - "output": null, - "output_var_name": "output", - "parameters": [ - { - "component_id": "QWeather:DeepKiwisTeach", - "id": "14c9688b-06a5-47a3-9088-a51b7d126629", - "key": "weather" - } - ], - "presence_penalty": 0.4, - "prompt": "Role: You‘re warm-hearted lovely young girl, 22 years old, located at Shanghai in China. Your name is R. Who are talking to you is your very good old friend of yours.\n\nTask: \n- Chat with the friend.\n- Ask question and care about them.\n- Tell your friend the weather if there's weather information provided. If your friend did not provide region information, ask about where he/she is.\n\nThe following is the weatcher information:\n{weather}", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "QWeather:DeepKiwisTeach" - ] - }, - "KeywordExtract:AllGarlicsPress": { - "downstream": [ - "AkShare:CalmHotelsKnow" - ], - "obj": { - "component_name": "KeywordExtract", - "params": { - "cite": true, - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "maxTokensEnabled": true, - "max_tokens": 256, - "message_history_window_size": 22, - "output": null, - "output_var_name": "output", - "parameters": [], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_n": 2, - "top_p": 0.3 - } - }, - "upstream": [ - "Concentrator:TrueGeckosSlide" - ] - }, - "KeywordExtract:SlowFeetHappen": { - "downstream": [ - "DuckDuckGo:NiceSeasInvent", - "Baidu:CleanJarsMake", - "Wikipedia:ThinLampsTravel" - ], - "obj": { - "component_name": "KeywordExtract", - "params": { - "cite": true, - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "maxTokensEnabled": true, - "max_tokens": 256, - "message_history_window_size": 22, - "output": null, - "output_var_name": "output", - "parameter": "Precise", - "parameters": [], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_n": 3, - "top_p": 0.3 - } - }, - "upstream": [ - "Categorize:KhakiTimesSmile" - ] - }, - "PubMed:EasyQueensLose": { - "downstream": [ - "Generate:CruelTaxisType" - ], - "obj": { - "component_name": "PubMed", - "params": { - "email": "xxx@sss.com", - "message_history_window_size": 22, - "output": null, - "output_var_name": "output", - "top_n": 10 - } - }, - "upstream": [ - "Generate:KindDonkeysLook" - ] - }, - "QWeather:DeepKiwisTeach": { - "downstream": [ - "Generate:SlickLightsWish" - ], - "obj": { - "component_name": "QWeather", - "params": { - "error_code": { - "204": "The request was successful, but the region you are querying does not have the data you need at this time.", - "400": "Request error, may contain incorrect request parameters or missing mandatory request parameters.", - "401": "Authentication fails, possibly using the wrong KEY, wrong digital signature, wrong type of KEY (e.g. using the SDK's KEY to access the Web API).", - "402": "Exceeded the number of accesses or the balance is not enough to support continued access to the service, you can recharge, upgrade the accesses or wait for the accesses to be reset.", - "403": "No access, may be the binding PackageName, BundleID, domain IP address is inconsistent, or the data that requires additional payment.", - "404": "The queried data or region does not exist.", - "429": "Exceeded the limited QPM (number of accesses per minute), please refer to the QPM description", - "500": "No response or timeout, interface service abnormality please contact us" - }, - "lang": "en", - "message_history_window_size": 22, - "output": null, - "output_var_name": "output", - "time_period": "7d", - "type": "weather", - "user_type": "free", - "web_apikey": "947e8994bc5f488f8857d618ebac1b19" - } - }, - "upstream": [ - "Categorize:KhakiTimesSmile" - ] - }, - "Retrieval:HipIslandsArrive": { - "downstream": [ - "Generate:CruelTaxisType" - ], - "obj": { - "component_name": "Retrieval", - "params": { - "empty_response": "", - "kb_ids": [ - "c125b3ea6b3711ef84a142010a8a0006" - ], - "keywords_similarity_weight": 0.3, - "message_history_window_size": 22, - "output": null, - "output_var_name": "output", - "rerank_id": "", - "similarity_threshold": 0.2, - "top_k": 1024, - "top_n": 8 - } - }, - "upstream": [ - "Generate:EagerBerriesHeal" - ] - }, - "WenCai:TenParksOpen": { - "downstream": [ - "Generate:RottenMangosSmash" - ], - "obj": { - "component_name": "WenCai", - "params": { - "message_history_window_size": 22, - "output": null, - "output_var_name": "output", - "query_type": "stock", - "top_n": 5 - } - }, - "upstream": [ - "Concentrator:TrueGeckosSlide" - ] - }, - "Wikipedia:ThinLampsTravel": { - "downstream": [ - "Generate:ManyMelonsNail" - ], - "obj": { - "component_name": "Wikipedia", - "params": { - "language": "en", - "message_history_window_size": 22, - "output": null, - "output_var_name": "output", - "top_n": 10 - } - }, - "upstream": [ - "KeywordExtract:SlowFeetHappen" - ] - }, - "answer:0": { - "downstream": [ - "Categorize:KhakiTimesSmile" - ], - "obj": { - "component_name": "Answer", - "params": { - "message_history_window_size": 22, - "output": { - "content": "Hi friend! How things going?" - }, - "output_var_name": "output", - "post_answers": [] - } - }, - "upstream": [ - "begin" - ] - }, - "begin": { - "downstream": [ - "answer:0" - ], - "obj": { - "component_name": "Begin", - "params": { - "message_history_window_size": 22, - "output": { - "content": "Hi friend! How things going?" - }, - "output_var_name": "output", - "prologue": "Hi friend! How things going?" - } - }, - "upstream": [] - } - }, - "embed_id": "", - "graph": { - "edges": [ - { - "id": "81de838d-a541-4b3f-9d68-9172ffd7c6b4", - "label": "", - "source": "begin", - "target": "answer:0" - }, - { - "id": "reactflow__edge-WenCai:TenParksOpenb-Generate:RottenMangosSmashc", - "markerEnd": "logo", - "source": "WenCai:TenParksOpen", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:RottenMangosSmash", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-AkShare:CalmHotelsKnowb-Generate:RottenMangosSmashc", - "markerEnd": "logo", - "source": "AkShare:CalmHotelsKnow", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:RottenMangosSmash", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-KeywordExtract:AllGarlicsPressb-AkShare:CalmHotelsKnowc", - "markerEnd": "logo", - "source": "KeywordExtract:AllGarlicsPress", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "AkShare:CalmHotelsKnow", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Concentrator:TrueGeckosSlideb-WenCai:TenParksOpenc", - "markerEnd": "logo", - "source": "Concentrator:TrueGeckosSlide", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "WenCai:TenParksOpen", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Concentrator:TrueGeckosSlideb-KeywordExtract:AllGarlicsPressc", - "markerEnd": "logo", - "source": "Concentrator:TrueGeckosSlide", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "KeywordExtract:AllGarlicsPress", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Concentrator:DryTrainsSearchb-Generate:EagerBerriesHealc", - "markerEnd": "logo", - "source": "Concentrator:DryTrainsSearch", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:EagerBerriesHeal", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Concentrator:DryTrainsSearchb-Generate:KindDonkeysLookc", - "markerEnd": "logo", - "source": "Concentrator:DryTrainsSearch", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:KindDonkeysLook", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:KindDonkeysLookb-PubMed:EasyQueensLosec", - "markerEnd": "logo", - "source": "Generate:KindDonkeysLook", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "PubMed:EasyQueensLose", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:EagerBerriesHealb-Retrieval:HipIslandsArrivec", - "markerEnd": "logo", - "source": "Generate:EagerBerriesHeal", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Retrieval:HipIslandsArrive", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-PubMed:EasyQueensLoseb-Generate:CruelTaxisTypec", - "markerEnd": "logo", - "source": "PubMed:EasyQueensLose", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:CruelTaxisType", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-answer:0b-Categorize:KhakiTimesSmilea", - "markerEnd": "logo", - "source": "answer:0", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Categorize:KhakiTimesSmile", - "targetHandle": "a", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Retrieval:HipIslandsArriveb-Generate:CruelTaxisTyped", - "markerEnd": "logo", - "source": "Retrieval:HipIslandsArrive", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:CruelTaxisType", - "targetHandle": "d", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:LazyWorldsShoutb-Answer:GiantToysFilmd", - "markerEnd": "logo", - "source": "Generate:LazyWorldsShout", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:GiantToysFilm", - "targetHandle": "d", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-KeywordExtract:SlowFeetHappenb-DuckDuckGo:NiceSeasInventc", - "markerEnd": "logo", - "source": "KeywordExtract:SlowFeetHappen", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "DuckDuckGo:NiceSeasInvent", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-KeywordExtract:SlowFeetHappenb-Baidu:CleanJarsMakec", - "markerEnd": "logo", - "source": "KeywordExtract:SlowFeetHappen", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Baidu:CleanJarsMake", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-KeywordExtract:SlowFeetHappenb-Wikipedia:ThinLampsTravelc", - "markerEnd": "logo", - "source": "KeywordExtract:SlowFeetHappen", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Wikipedia:ThinLampsTravel", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-DuckDuckGo:NiceSeasInventb-Generate:ManyMelonsNaild", - "markerEnd": "logo", - "source": "DuckDuckGo:NiceSeasInvent", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:ManyMelonsNail", - "targetHandle": "d", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Baidu:CleanJarsMakeb-Generate:ManyMelonsNailc", - "markerEnd": "logo", - "source": "Baidu:CleanJarsMake", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:ManyMelonsNail", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Wikipedia:ThinLampsTravelb-Generate:ManyMelonsNailc", - "markerEnd": "logo", - "source": "Wikipedia:ThinLampsTravel", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:ManyMelonsNail", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:ManyMelonsNailb-Answer:GiantToysFilmc", - "markerEnd": "logo", - "source": "Generate:ManyMelonsNail", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:GiantToysFilm", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Answer:GiantToysFilma-Categorize:KhakiTimesSmilec", - "markerEnd": "logo", - "source": "Answer:GiantToysFilm", - "sourceHandle": "a", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Categorize:KhakiTimesSmile", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:CruelTaxisTypea-Answer:GiantToysFilmc", - "markerEnd": "logo", - "source": "Generate:CruelTaxisType", - "sourceHandle": "a", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:GiantToysFilm", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:RottenMangosSmashb-Answer:GiantToysFilmb", - "markerEnd": "logo", - "source": "Generate:RottenMangosSmash", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:GiantToysFilm", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "b064e8ec-8046-4758-a333-af0db3b0415b", - "source": "Categorize:KhakiTimesSmile", - "sourceHandle": "medical", - "target": "Concentrator:DryTrainsSearch" - }, - { - "id": "386047ed-f1c5-486d-9acd-321835a874a7", - "source": "Categorize:KhakiTimesSmile", - "sourceHandle": "finance", - "target": "Concentrator:TrueGeckosSlide" - }, - { - "id": "6bd471b3-d699-46fd-a57b-df5b73d49ff8", - "source": "Categorize:KhakiTimesSmile", - "sourceHandle": "chitchatting", - "target": "Generate:LazyWorldsShout" - }, - { - "id": "974a434e-0886-4ac2-b37b-e453aa72f27b", - "source": "Categorize:KhakiTimesSmile", - "sourceHandle": "other", - "target": "KeywordExtract:SlowFeetHappen" - }, - { - "id": "272c0b5f-0e79-4611-b2f4-5fdecea787c1", - "source": "Categorize:KhakiTimesSmile", - "sourceHandle": "weather", - "target": "QWeather:DeepKiwisTeach" - }, - { - "id": "reactflow__edge-QWeather:DeepKiwisTeachb-Generate:SlickLightsWishc", - "markerEnd": "logo", - "source": "QWeather:DeepKiwisTeach", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:SlickLightsWish", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:SlickLightsWisha-Answer:GiantToysFilmd", - "markerEnd": "logo", - "source": "Generate:SlickLightsWish", - "sourceHandle": "a", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:GiantToysFilm", - "targetHandle": "d", - "type": "buttonEdge" - } - ], - "nodes": [ - { - "data": { - "form": { + "answer": [], + "components": { + "begin": { + "obj": { + "component_name": "Begin", + "params": { "prologue": "Hi friend! How things going?" - }, - "label": "Begin", - "name": "Opening" - }, - "dragging": false, - "height": 50, - "id": "begin", - "position": { - "x": -589.8693068372348, - "y": 373.586838137715 - }, - "positionAbsolute": { - "x": -589.8693068372348, - "y": 373.586838137715 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "beginNode", - "width": 50 - }, - { - "data": { - "form": {}, - "label": "Answer", - "name": "Interface" - }, - "dragging": false, - "height": 100, - "id": "answer:0", - "position": { - "x": -458.24790535471783, - "y": 355.0056972997136 - }, - "positionAbsolute": { - "x": -458.24790535471783, - "y": 355.0056972997136 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { + } + }, + "downstream": [ + "answer:0" + ], + "upstream": [] + }, + "answer:0": { + "obj": { + "component_name": "Answer", + "params": {} + }, + "downstream": [ + "Categorize:KhakiTimesSmile" + ], + "upstream": [ + "begin" + ] + }, + "WenCai:TenParksOpen": { + "obj": { + "component_name": "WenCai", + "params": { "query_type": "stock", "top_n": 5 - }, - "label": "WenCai", - "name": "wencai" - }, - "dragging": false, - "height": 50, - "id": "WenCai:TenParksOpen", - "position": { - "x": 146.88097790353987, - "y": 122.72666051509495 - }, - "positionAbsolute": { - "x": 146.88097790353987, - "y": 122.72666051509495 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "width": 50 - }, - { - "data": { - "form": { + } + }, + "downstream": [ + "Generate:ItchyFilesTake" + ], + "upstream": [ + "Concentrator:TrueGeckosSlide" + ] + }, + "AkShare:CalmHotelsKnow": { + "obj": { + "component_name": "AkShare", + "params": { "top_n": 10 - }, - "label": "AkShare", - "name": "akshare" - }, - "dragging": false, - "height": 50, - "id": "AkShare:CalmHotelsKnow", - "position": { - "x": 340.9149792607028, - "y": 192.92840865497237 - }, - "positionAbsolute": { - "x": 340.9149792607028, - "y": 192.92840865497237 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "width": 50 - }, - { - "data": { - "form": { - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "maxTokensEnabled": true, - "max_tokens": 256, - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_n": 2, - "top_p": 0.3 - }, - "label": "KeywordExtract", - "name": "keywords" - }, - "dragging": false, - "height": 70, - "id": "KeywordExtract:AllGarlicsPress", - "position": { - "x": 143.9752308548252, - "y": 191.78844633538844 - }, - "positionAbsolute": { - "x": 143.9752308548252, - "y": 191.78844633538844 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 70 - }, - { - "data": { - "form": { - "cite": true, - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "maxTokensEnabled": false, - "max_tokens": 2048, - "message_history_window_size": 0, - "parameter": "Precise", - "parameters": [ - { - "component_id": "WenCai:TenParksOpen", - "id": "6045431c-3206-4aae-8f4e-c36c27c488d1", - "key": "wencai_input" - }, - { - "component_id": "AkShare:CalmHotelsKnow", - "id": "1eca5d40-9718-4a62-8e4c-afbd48fd3929", - "key": "ak_input" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "Role: You are a professional financial counseling assistant.\n\nTask: Answer user's question based on content provided by Wencai and AkShare.\n\nNotice:\n- Output no more than 5 news items from AkShare if there's content provided by Wencai.\n- Items from AkShare MUST have a corresponding URL link.\n\n############\nContent provided by Wencai: \n{wencai_input}\n\n################\nContent provided by AkShare: \n{ak_input}\n", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "finaceGen" - }, - "dragging": false, - "height": 150, - "id": "Generate:RottenMangosSmash", - "position": { - "x": 516.567259561075, - "y": 82.75547209322468 - }, - "positionAbsolute": { - "x": 516.567259561075, - "y": 82.75547209322468 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 150 - }, - { - "data": { - "form": { + } + }, + "downstream": [ + "Generate:ItchyFilesTake" + ], + "upstream": [ + "KeywordExtract:FineApesSmash" + ] + }, + "Categorize:KhakiTimesSmile": { + "obj": { + "component_name": "Categorize", + "params": { "category_description": { - "chitchatting": { - "description": "Regarding the issues of small talk, companionship, sharing, and emotional intimacy", - "examples": "What's your name?\nAre you female o male.\nWhat a bad day!\nTerrible day.\nHow are you today?\nDo you have boy friend?", - "to": "Generate:LazyWorldsShout" + "1. weather": { + "description": "Question is about weather.", + "examples": "Will it rain tomorrow?\nIs it sunny next day?\nWhat is average temperature next week?", + "to": "QWeather:DeepKiwisTeach" }, - "finance": { + "2. finance": { "description": "Question is about finace/economic information, stock market, economic news.", "examples": "昨日涨幅大于5%的军工股？\nStocks have MACD buyin signals？\nWhen is the next interest rate cut by the Federal Reserve?\n国家救市都有哪些举措？", "to": "Concentrator:TrueGeckosSlide" }, - "medical": { + "3. medical": { "description": "Question is about medical issue, health, illness or medicine etc,.", "examples": "How to relieve the headache?\nCan't sleep, what to do?\nWhat the effect of coffee in terms of losing weight?", "to": "Concentrator:DryTrainsSearch" }, - "other": { + "4. other": { "description": "", - "to": "KeywordExtract:SlowFeetHappen" + "to": "KeywordExtract:PurpleApplesKnow" }, - "weather": { - "description": "Question is about weather.", - "examples": "Will it rain tomorrow?\nIs it sunny next day?\nWhat is average temperature next week?", - "to": "QWeather:DeepKiwisTeach" + "5. chitchatting": { + "description": "Regarding the issues of small talk, companionship, sharing, and emotional intimacy.", + "examples": "What's your name?\nAre you female o male.\nWhat a bad day!\nTerrible day.\nHow are you today?\nDo you have boy friend?", + "to": "Generate:FiveDragonsLay" } }, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "presence_penalty": 0.4, + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "QWeather:DeepKiwisTeach", + "Concentrator:TrueGeckosSlide", + "Concentrator:DryTrainsSearch", + "KeywordExtract:PurpleApplesKnow", + "Generate:FiveDragonsLay" + ], + "upstream": [ + "answer:0", + "Answer:FlatGhostsCheat" + ] + }, + "Concentrator:DryTrainsSearch": { + "obj": { + "component_name": "Concentrator", + "params": {} + }, + "downstream": [ + "Generate:OddInsectsRaise", + "Generate:TenderFlowersItch" + ], + "upstream": [ + "Categorize:KhakiTimesSmile" + ] + }, + "Concentrator:TrueGeckosSlide": { + "obj": { + "component_name": "Concentrator", + "params": {} + }, + "downstream": [ + "WenCai:TenParksOpen", + "KeywordExtract:FineApesSmash" + ], + "upstream": [ + "Categorize:KhakiTimesSmile" + ] + }, + "PubMed:EasyQueensLose": { + "obj": { + "component_name": "PubMed", + "params": { + "email": "xxx@sss.com", + "top_n": 10 + } + }, + "downstream": [ + "Generate:CuddlyWaysVisit" + ], + "upstream": [ + "Generate:TenderFlowersItch" + ] + }, + "DuckDuckGo:NiceSeasInvent": { + "obj": { + "component_name": "DuckDuckGo", + "params": { + "channel": "text", + "top_n": 10 + } + }, + "downstream": [ + "Generate:CalmWallsCheer" + ], + "upstream": [ + "KeywordExtract:PurpleApplesKnow" + ] + }, + "Baidu:CleanJarsMake": { + "obj": { + "component_name": "Baidu", + "params": { + "top_n": 10 + } + }, + "downstream": [ + "Generate:CalmWallsCheer" + ], + "upstream": [ + "KeywordExtract:PurpleApplesKnow" + ] + }, + "Wikipedia:ThinLampsTravel": { + "obj": { + "component_name": "Wikipedia", + "params": { + "language": "en", + "top_n": 10 + } + }, + "downstream": [ + "Generate:CalmWallsCheer" + ], + "upstream": [ + "KeywordExtract:PurpleApplesKnow" + ] + }, + "QWeather:DeepKiwisTeach": { + "obj": { + "component_name": "QWeather", + "params": { + "lang": "en", + "time_period": "7d", + "type": "weather", + "user_type": "free", + "web_apikey": "947e8994bc5f488f8857d618ebac1b19" + } + }, + "downstream": [ + "Generate:SpicyChickenKneel" + ], + "upstream": [ + "Categorize:KhakiTimesSmile" + ] + }, + "Answer:FlatGhostsCheat": { + "obj": { + "component_name": "Answer", + "params": {} + }, + "downstream": [ + "Categorize:KhakiTimesSmile" + ], + "upstream": [ + "Generate:CalmWallsCheer", + "Generate:CuddlyWaysVisit", + "Generate:ItchyFilesTake", + "Generate:SpicyChickenKneel", + "Generate:FiveDragonsLay" + ] + }, + "KeywordExtract:PurpleApplesKnow": { + "obj": { + "component_name": "KeywordExtract", + "params": { "frequencyPenaltyEnabled": true, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", @@ -1195,588 +244,1680 @@ "temperature": 0.1, "temperatureEnabled": true, "topPEnabled": true, + "top_n": 3, "top_p": 0.3 - }, - "label": "Categorize", - "name": "categorize" - }, - "dragging": false, - "height": 100, - "id": "Categorize:KhakiTimesSmile", - "position": { - "x": -317.46708433918616, - "y": 355.91108903823437 - }, - "positionAbsolute": { - "x": -317.46708433918616, - "y": 355.91108903823437 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "categorizeNode", - "width": 100 - }, - { - "data": { - "form": {}, - "label": "Concentrator", - "name": "medical" - }, - "dragging": false, - "height": 70, - "id": "Concentrator:DryTrainsSearch", - "position": { - "x": -189.0390909059883, - "y": 495.60306527486614 - }, - "positionAbsolute": { - "x": -189.0390909059883, - "y": 495.60306527486614 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 70 - }, - { - "data": { - "form": {}, - "label": "Concentrator", - "name": "finance" - }, - "dragging": false, - "height": 70, - "id": "Concentrator:TrueGeckosSlide", - "position": { - "x": -159.98935824649828, - "y": 238.7890803326024 - }, - "positionAbsolute": { - "x": -159.98935824649828, - "y": 238.7890803326024 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 70 - }, - { - "data": { - "form": { + } + }, + "downstream": [ + "DuckDuckGo:NiceSeasInvent", + "Baidu:CleanJarsMake", + "Wikipedia:ThinLampsTravel" + ], + "upstream": [ + "Categorize:KhakiTimesSmile" + ] + }, + "Generate:FiveDragonsLay": { + "obj": { + "component_name": "Generate", + "params": { "cite": false, - "frequencyPenaltyEnabled": true, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", - "maxTokensEnabled": false, "max_tokens": 256, "message_history_window_size": 12, - "parameter": "Precise", "parameters": [], - "presencePenaltyEnabled": true, "presence_penalty": 0.4, "prompt": "Role: You‘re warm-hearted lovely young girl, 22 years old, located at Shanghai in China. Your name is R. Who are talking to you is your very good old friend of yours.\n\nTask: \n- Chat with the friend.\n- Ask question and care about them.\n- Provide useful advice to your friend.\n- Tell jokes to make your firend happy.\n\nThe following is the weatcher information:\n{weather}", "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, "top_p": 0.3 - }, - "label": "Generate", - "name": "smalltalk" - }, - "dragging": false, - "height": 150, - "id": "Generate:LazyWorldsShout", - "position": { - "x": 285.89101496906716, - "y": 319.2635091258808 - }, - "positionAbsolute": { - "x": 285.89101496906716, - "y": 319.2635091258808 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 150 - }, - { - "data": { - "form": { - "cite": false, + } + }, + "downstream": [ + "Answer:FlatGhostsCheat" + ], + "upstream": [ + "Categorize:KhakiTimesSmile" + ] + }, + "KeywordExtract:FineApesSmash": { + "obj": { + "component_name": "KeywordExtract", + "params": { "frequencyPenaltyEnabled": true, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", - "maxTokensEnabled": false, + "maxTokensEnabled": true, "max_tokens": 256, - "message_history_window_size": 12, "parameter": "Precise", - "parameters": [], "presencePenaltyEnabled": true, "presence_penalty": 0.4, - "prompt": "Role: You are a professional medical consulting translation assistant\n\nTask: Translate user questions into Chinese, ensuring accuracy of medical terminology and appropriateness of context.\n\nRequirements:\n- Accurately translate medical terminology to convey the integrity and emotional color of the original message.\n- For unclear or uncertain medical terminology, the original text may be retained to ensure accuracy.\n- Respect the privacy and sensitivity of medical consultations and ensure that sensitive information is not disclosed during the translation process.\n- If the user's question is in Chinese, there is no need to translate, just output the user's question directly\n\nExample:\nOriginal (English): Doctor, I have been suffering from chest pain and shortness of breath for the past few days.\nTranslation (Chinese): 医生，我这几天一直胸痛和气短。\n\nNote:\nOnly the translated content needs to be output, no other irrelevant content!", "temperature": 0.1, "temperatureEnabled": true, "topPEnabled": true, + "top_n": 2, "top_p": 0.3 - }, - "label": "Generate", - "name": "tranlate to Chinese" - }, - "dragging": false, - "height": 150, - "id": "Generate:EagerBerriesHeal", - "position": { - "x": -24.71301675287347, - "y": 389.820823111604 - }, - "positionAbsolute": { - "x": -24.71301675287347, - "y": 389.820823111604 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 150 - }, - { - "data": { - "form": { + } + }, + "downstream": [ + "AkShare:CalmHotelsKnow" + ], + "upstream": [ + "Concentrator:TrueGeckosSlide" + ] + }, + "Generate:OddInsectsRaise": { + "obj": { + "component_name": "Generate", + "params": { "cite": false, - "frequencyPenaltyEnabled": true, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", - "maxTokensEnabled": false, "max_tokens": 256, "message_history_window_size": 12, - "parameter": "Precise", "parameters": [], - "presencePenaltyEnabled": true, "presence_penalty": 0.4, - "prompt": "Role: You are a professional Chinese-English medical question translation assistant\n\nTask: Accurately translate users' Chinese medical question content into English, ensuring accuracy of terminology and clarity of expression\n\nRequirements:\n- In-depth understanding of the terminology and disease descriptions in Chinese medical inquiries to ensure correct medical vocabulary is used in the English translation.\n- Maintain the semantic integrity and accuracy of the original text to avoid omitting important information or introducing errors.\n- Pay attention to the differences in expression habits between Chinese and English, and make appropriate adjustments to make the English translation more natural and fluent.\n- Respect the patient's privacy and the principle of medical confidentiality, and do not disclose any sensitive information during the translation process.\n\nExample：\nOriginal sentence: 我最近总是感觉胸闷，有时还会有心悸的感觉。\nTranslated: I've been feeling chest tightness recently, and sometimes I experience palpitations.\n\nNote:\nOnly the translated content should be given, do not output other irrelevant content!", + "prompt": "Role: You are a professional medical consulting translation assistant\n\nTask: Translate user questions into Chinese, ensuring accuracy of medical terminology and appropriateness of context.\n\nRequirements:\n- Accurately translate medical terminology to convey the integrity and emotional color of the original message.\n- For unclear or uncertain medical terminology, the original text may be retained to ensure accuracy.\n- Respect the privacy and sensitivity of medical consultations and ensure that sensitive information is not disclosed during the translation process.\n- If the user's question is in Chinese, there is no need to translate, just output the user's question directly\n\nExample:\nOriginal (English): Doctor, I have been suffering from chest pain and shortness of breath for the past few days.\nTranslation (Chinese): 医生，我这几天一直胸痛和气短。\n\nNote:\nOnly the translated content needs to be output, no other irrelevant content!", "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, "top_p": 0.3 - }, - "label": "Generate", - "name": "Translate to English" - }, - "dragging": false, - "height": 150, - "id": "Generate:KindDonkeysLook", - "position": { - "x": 65.7579730422053, - "y": 523.5955797263784 - }, - "positionAbsolute": { - "x": 65.7579730422053, - "y": 523.5955797263784 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 150 - }, - { - "data": { - "form": { - "kb_ids": [ - "c125b3ea6b3711ef84a142010a8a0006" - ], - "keywords_similarity_weight": 0.3, - "similarity_threshold": 0.2, - "top_n": 8 - }, - "label": "Retrieval", - "name": "Health KB" - }, - "dragging": false, - "height": 100, - "id": "Retrieval:HipIslandsArrive", - "position": { - "x": 157.7197065274014, - "y": 416.66808403435306 - }, - "positionAbsolute": { - "x": 157.7197065274014, - "y": 416.66808403435306 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { - "email": "xxx@sss.com", - "top_n": 10 - }, - "label": "PubMed", - "name": "pubmed" - }, - "dragging": false, - "height": 50, - "id": "PubMed:EasyQueensLose", - "position": { - "x": 192.9202771828928, - "y": 636.7518220628402 - }, - "positionAbsolute": { - "x": 192.9202771828928, - "y": 636.7518220628402 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "width": 50 - }, - { - "data": { - "form": { + } + }, + "downstream": [ + "Retrieval:LemonGeckosHear" + ], + "upstream": [ + "Concentrator:DryTrainsSearch" + ] + }, + "Generate:TenderFlowersItch": { + "obj": { + "component_name": "Generate", + "params": { + "cite": false, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "parameters": [], + "presence_penalty": 0.4, + "prompt": "Role: You are a professional medical consulting translation assistant\n\nTask: Translate user questions into Chinese, ensuring accuracy of medical terminology and appropriateness of context.\n\nRequirements:\n- Accurately translate medical terminology to convey the integrity and emotional color of the original message.\n- For unclear or uncertain medical terminology, the original text may be retained to ensure accuracy.\n- Respect the privacy and sensitivity of medical consultations and ensure that sensitive information is not disclosed during the translation process.\n- If the user's question is in Chinese, there is no need to translate, just output the user's question directly\n\nExample:\nOriginal (English): Doctor, I have been suffering from chest pain and shortness of breath for the past few days.\nTranslation (Chinese): 医生，我这几天一直胸痛和气短。\n\nNote:\nOnly the translated content needs to be output, no other irrelevant content!", + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "PubMed:EasyQueensLose" + ], + "upstream": [ + "Concentrator:DryTrainsSearch" + ] + }, + "Retrieval:LemonGeckosHear": { + "obj": { + "component_name": "Retrieval", + "params": { + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "similarity_threshold": 0.2, + "top_n": 8 + } + }, + "downstream": [ + "Generate:CuddlyWaysVisit" + ], + "upstream": [ + "Generate:OddInsectsRaise" + ] + }, + "Generate:CalmWallsCheer": { + "obj": { + "component_name": "Generate", + "params": { "cite": true, - "frequencyPenaltyEnabled": true, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", - "maxTokensEnabled": false, "max_tokens": 256, "message_history_window_size": 12, - "parameter": "Precise", "parameters": [ { - "component_id": "Retrieval:HipIslandsArrive", - "id": "7cfaa44c-71b0-4659-ad4f-e36b9bc1a2b9", - "key": "kb_input" + "component_id": "Wikipedia:ThinLampsTravel", + "id": "faab021e-fd99-4fe2-bbe8-aeb9f04666ca", + "key": "wikipedia" }, { - "component_id": "PubMed:EasyQueensLose", - "id": "3b56ae40-5751-45b3-a72a-d26cc4fcdf7e", - "key": "pm_input" + "component_id": "Baidu:CleanJarsMake", + "id": "3e343beb-73be-47b2-abaf-031720287160", + "key": "baidu" + }, + { + "component_id": "DuckDuckGo:NiceSeasInvent", + "id": "3ad8a3ee-aa44-46b7-bf18-e67a4f8592f2", + "key": "duckduckgo" } ], - "presencePenaltyEnabled": true, "presence_penalty": 0.4, - "prompt": "Role: You are a professional medical consulting assistant\n\nTasks: Answer questions posed by users. Answer based on content provided by the knowledge base, PubMed\n\nRequirement:\n- Answers may refer to the content provided (Knowledge Base, PubMed).\n- If the provided PubMed content is referenced, a link to the corresponding URL should be given.\n-Answers should be professional and accurate; no information should be fabricated that is not relevant to the user's question.\n\nProvided knowledge base content\n{kb_input}\n\nPubMed content provided\n{pm_input}", + "prompt": "Role: You‘re warm-hearted lovely assistant, young girl, 22 years old, located at Shanghai in China. Your name is R. \n\nTask: Chat with user. Answer the question based on the provided content from: Knowledge Base, Wikipedia, Duckduckgo, Baidu.\n\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all sources(Wikipedia, Duckduckgo, Baidu) as long as they are relevant, and label the sources of the cited content separately.\n - Attach URL links to the content which is quoted from Wikipedia, DuckDuckGo or Baidu.\n - Do not make thing up when there's no relevant information to user's question. \n\n\n## Wikipedia content\n{wikipedia}\n\n\n## Duckduckgo content\n{duckduckgo}\n\n\n## Baidu content\n{baidu}", "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, "top_p": 0.3 - }, - "label": "Generate", - "name": "medgen" - }, - "dragging": false, - "height": 150, - "id": "Generate:CruelTaxisType", - "position": { - "x": 333.2545622283057, - "y": 629.8178763810937 - }, - "positionAbsolute": { - "x": 333.2545622283057, - "y": 629.8178763810937 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 150 - }, - { - "data": { - "form": {}, - "label": "Answer", - "name": "interact1" - }, - "dragging": false, - "height": 100, - "id": "Answer:GiantToysFilm", - "position": { - "x": 515.8838454933375, - "y": 1032.8979041179798 - }, - "positionAbsolute": { - "x": 515.8838454933375, - "y": 1032.8979041179798 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { - "channel": "text", - "top_n": 10 - }, - "label": "DuckDuckGo", - "name": "duck" - }, - "dragging": false, - "height": 50, - "id": "DuckDuckGo:NiceSeasInvent", - "position": { - "x": -59.07492646965886, - "y": 627.8121142328739 - }, - "positionAbsolute": { - "x": -59.07492646965886, - "y": 627.8121142328739 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "width": 50 - }, - { - "data": { - "form": { - "top_n": 10 - }, - "label": "Baidu", - "name": "baidu" - }, - "dragging": false, - "height": 50, - "id": "Baidu:CleanJarsMake", - "position": { - "x": -56.89640964044342, - "y": 675.8437985850107 - }, - "positionAbsolute": { - "x": -56.89640964044342, - "y": 675.8437985850107 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "width": 50 - }, - { - "data": { - "form": { - "language": "en", - "top_n": 10 - }, - "label": "Wikipedia", - "name": "wiki" - }, - "dragging": false, - "height": 50, - "id": "Wikipedia:ThinLampsTravel", - "position": { - "x": -56.77193488065434, - "y": 761.4085884262067 - }, - "positionAbsolute": { - "x": -56.77193488065434, - "y": 761.4085884262067 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "width": 50 - }, - { - "data": { - "form": { - "frequencyPenaltyEnabled": true, + } + }, + "downstream": [ + "Answer:FlatGhostsCheat" + ], + "upstream": [ + "DuckDuckGo:NiceSeasInvent", + "Baidu:CleanJarsMake", + "Wikipedia:ThinLampsTravel" + ] + }, + "Generate:CuddlyWaysVisit": { + "obj": { + "component_name": "Generate", + "params": { + "cite": true, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", - "maxTokensEnabled": true, "max_tokens": 256, - "parameter": "Precise", - "presencePenaltyEnabled": true, + "message_history_window_size": 12, + "parameters": [ + { + "component_id": "Retrieval:LemonGeckosHear", + "id": "b6ede15c-37a5-456e-b1ed-91de3ca45328", + "key": "kb_input" + }, + { + "component_id": "PubMed:EasyQueensLose", + "id": "35ca3088-efe8-4b6f-bbe1-54ecd90d349a", + "key": "pm_input" + } + ], "presence_penalty": 0.4, + "prompt": "Role: You are a professional medical consulting assistant\n\nTasks: Answer questions posed by users. Answer based on content provided by the knowledge base, PubMed\n\nRequirement:\n- Answers may refer to the content provided (Knowledge Base, PubMed).\n- If the provided PubMed content is referenced, a link to the corresponding URL should be given.\n-Answers should be professional and accurate; no information should be fabricated that is not relevant to the user's question.\n\nProvided knowledge base content\n{kb_input}\n\nPubMed content provided\n{pm_input}", "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_n": 3, "top_p": 0.3 - }, - "label": "KeywordExtract", - "name": "websearch" - }, - "dragging": false, - "height": 70, - "id": "KeywordExtract:SlowFeetHappen", - "position": { - "x": -160.67999343104714, - "y": 593.2961579862384 - }, - "positionAbsolute": { - "x": -160.67999343104714, - "y": 593.2961579862384 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 70 - }, - { - "data": { - "form": { - "cite": true, - "frequencyPenaltyEnabled": true, + } + }, + "downstream": [ + "Answer:FlatGhostsCheat" + ], + "upstream": [ + "Retrieval:LemonGeckosHear", + "PubMed:EasyQueensLose" + ] + }, + "Generate:ItchyFilesTake": { + "obj": { + "component_name": "Generate", + "params": { + "cite": false, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", - "maxTokensEnabled": false, "max_tokens": 256, - "message_history_window_size": 12, - "parameter": "Precise", + "message_history_window_size": 3, "parameters": [ { - "component_id": "Wikipedia:ThinLampsTravel", - "id": "9f78201a-b9fc-45b9-8e1d-cd0cab5dd94d", - "key": "wikipedia" - }, - { - "component_id": "Baidu:CleanJarsMake", - "id": "45062b1e-d5b1-4b3e-a0c6-20c5574100d2", - "key": "baidu" + "component_id": "WenCai:TenParksOpen", + "id": "166c90ce-6e9e-448a-b71a-194a81b42b53", + "key": "wencai_input" }, { - "component_id": "DuckDuckGo:NiceSeasInvent", - "id": "f7ae435e-9edf-4833-9978-401bc597e7f8", - "key": "duckduckgo" + "component_id": "AkShare:CalmHotelsKnow", + "id": "3d058485-4871-4a2f-b8af-8626e13d50bf", + "key": "ak_input" } ], - "presencePenaltyEnabled": true, "presence_penalty": 0.4, - "prompt": "Role: You‘re warm-hearted lovely assistant, young girl, 22 years old, located at Shanghai in China. Your name is R. \n\nTask: Chat with user. Answer the question based on the provided content from: Knowledge Base, Wikipedia, Duckduckgo, Baidu.\n\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all sources(Wikipedia, Duckduckgo, Baidu) as long as they are relevant, and label the sources of the cited content separately.\n - Attach URL links to the content which is quoted from Wikipedia, DuckDuckGo or Baidu.\n - Do not make thing up when there's no relevant information to user's question. \n\n\n## Wikipedia content\n{wikipedia}\n\n\n## Duckduckgo content\n{duckduckgo}\n\n\n## Baidu content\n{baidu}", + "prompt": "Role: You are a professional financial counseling assistant.\n\nTask: Answer user's question based on content provided by Wencai and AkShare.\n\nNotice:\n- Output no more than 5 news items from AkShare if there's content provided by Wencai.\n- Items from AkShare MUST have a corresponding URL link.\n\n############\nContent provided by Wencai: \n{wencai_input}\n\n################\nContent provided by AkShare: \n{ak_input}\n", "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, "top_p": 0.3 - }, - "label": "Generate", - "name": "websearchGen" - }, - "dragging": false, - "height": 150, - "id": "Generate:ManyMelonsNail", - "position": { - "x": 136.07181567086246, - "y": 789.8418052976187 - }, - "positionAbsolute": { - "x": 136.07181567086246, - "y": 789.8418052976187 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 150 - }, - { - "data": { - "form": { - "lang": "en", - "time_period": "7d", - "type": "weather", - "user_type": "free", - "web_apikey": "947e8994bc5f488f8857d618ebac1b19" - }, - "label": "QWeather", - "name": "weather" - }, - "dragging": false, - "height": 50, - "id": "QWeather:DeepKiwisTeach", - "position": { - "x": 20.19969391372814, - "y": 308.31596185366743 - }, - "positionAbsolute": { - "x": 20.19969391372814, - "y": 308.31596185366743 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "width": 50 - }, - { - "data": { - "form": { + } + }, + "downstream": [ + "Answer:FlatGhostsCheat" + ], + "upstream": [ + "WenCai:TenParksOpen", + "AkShare:CalmHotelsKnow" + ] + }, + "Generate:SpicyChickenKneel": { + "obj": { + "component_name": "Generate", + "params": { "cite": false, - "frequencyPenaltyEnabled": true, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", - "maxTokensEnabled": false, "max_tokens": 256, - "message_history_window_size": 12, - "parameter": "Precise", + "message_history_window_size": 0, "parameters": [ { "component_id": "QWeather:DeepKiwisTeach", - "id": "14c9688b-06a5-47a3-9088-a51b7d126629", + "id": "61469141-48a3-4798-a735-8237da0c0e7c", "key": "weather" } ], - "presencePenaltyEnabled": true, "presence_penalty": 0.4, - "prompt": "Role: You‘re warm-hearted lovely young girl, 22 years old, located at Shanghai in China. Your name is R. Who are talking to you is your very good old friend of yours.\n\nTask: \n- Chat with the friend.\n- Ask question and care about them.\n- Tell your friend the weather if there's weather information provided. If your friend did not provide region information, ask about where he/she is.\n\nThe following is the weatcher information:\n{weather}", + "prompt": "Role: You‘re warm-hearted lovely young girl, 22 years old, located at Shanghai in China. Your name is R. Who are talking to you is your very good old friend of yours.\n\nTask: \n- Chat with the friend.\n- Ask question and care about them.\n- Tell your friend the weather if there's weather information provided. If your friend did not provide region information, ask about where he/she is.\n\nThe following is the weatcher information:\n{weather}\n", "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, "top_p": 0.3 - }, - "label": "Generate", - "name": "weatherGen" - }, - "dragging": false, - "height": 150, - "id": "Generate:SlickLightsWish", - "position": { - "x": 467.66268344793576, - "y": 253.47127636601164 - }, - "positionAbsolute": { - "x": 467.66268344793576, - "y": 253.47127636601164 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 150 + } + }, + "downstream": [ + "Answer:FlatGhostsCheat" + ], + "upstream": [ + "QWeather:DeepKiwisTeach" + ] } - ] + }, + "embed_id": "", + "graph": { + "nodes": [ + { + "data": { + "form": { + "prologue": "Hi friend! How things going?" + }, + "label": "Begin", + "name": "Opening" + }, + "dragging": false, + "height": 44, + "id": "begin", + "position": { + "x": -1128.7777718344705, + "y": 244.52466633336172 + }, + "positionAbsolute": { + "x": -1128.7777718344705, + "y": 244.52466633336172 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "beginNode", + "width": 100 + }, + { + "data": { + "form": {}, + "label": "Answer", + "name": "Interface" + }, + "dragging": false, + "height": 44, + "id": "answer:0", + "position": { + "x": -888.7666192056412, + "y": 245.72423440610623 + }, + "positionAbsolute": { + "x": -888.7666192056412, + "y": 245.72423440610623 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": { + "query_type": "stock", + "top_n": 5 + }, + "label": "WenCai", + "name": "wencai" + }, + "dragging": false, + "height": 44, + "id": "WenCai:TenParksOpen", + "position": { + "x": 15.623628641957595, + "y": 18.36646638032667 + }, + "positionAbsolute": { + "x": 15.623628641957595, + "y": 18.36646638032667 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": { + "top_n": 10 + }, + "label": "AkShare", + "name": "akshare" + }, + "dragging": false, + "height": 44, + "id": "AkShare:CalmHotelsKnow", + "position": { + "x": 287.37496746240566, + "y": 95.21451122612848 + }, + "positionAbsolute": { + "x": 287.37496746240566, + "y": 95.21451122612848 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": { + "category_description": { + "1. weather": { + "description": "Question is about weather.", + "examples": "Will it rain tomorrow?\nIs it sunny next day?\nWhat is average temperature next week?", + "to": "QWeather:DeepKiwisTeach" + }, + "2. finance": { + "description": "Question is about finace/economic information, stock market, economic news.", + "examples": "昨日涨幅大于5%的军工股？\nStocks have MACD buyin signals？\nWhen is the next interest rate cut by the Federal Reserve?\n国家救市都有哪些举措？", + "to": "Concentrator:TrueGeckosSlide" + }, + "3. medical": { + "description": "Question is about medical issue, health, illness or medicine etc,.", + "examples": "How to relieve the headache?\nCan't sleep, what to do?\nWhat the effect of coffee in terms of losing weight?", + "to": "Concentrator:DryTrainsSearch" + }, + "4. other": { + "description": "", + "to": "KeywordExtract:PurpleApplesKnow" + }, + "5. chitchatting": { + "description": "Regarding the issues of small talk, companionship, sharing, and emotional intimacy.", + "examples": "What's your name?\nAre you female o male.\nWhat a bad day!\nTerrible day.\nHow are you today?\nDo you have boy friend?", + "to": "Generate:FiveDragonsLay" + } + }, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Categorize", + "name": "categorize" + }, + "dragging": false, + "height": 257, + "id": "Categorize:KhakiTimesSmile", + "position": { + "x": -609.8076141214767, + "y": 138.97995386409644 + }, + "positionAbsolute": { + "x": -609.8076141214767, + "y": 138.97995386409644 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "categorizeNode", + "width": 200 + }, + { + "data": { + "form": {}, + "label": "Concentrator", + "name": "medical" + }, + "dragging": false, + "height": 44, + "id": "Concentrator:DryTrainsSearch", + "position": { + "x": -297.50465849305726, + "y": 192.93248143666426 + }, + "positionAbsolute": { + "x": -297.50465849305726, + "y": 192.93248143666426 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": {}, + "label": "Concentrator", + "name": "finance" + }, + "dragging": false, + "height": 44, + "id": "Concentrator:TrueGeckosSlide", + "position": { + "x": -291.18104475657213, + "y": 104.49837760575514 + }, + "positionAbsolute": { + "x": -291.18104475657213, + "y": 104.49837760575514 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": { + "email": "xxx@sss.com", + "top_n": 10 + }, + "label": "PubMed", + "name": "pubmed" + }, + "dragging": false, + "height": 44, + "id": "PubMed:EasyQueensLose", + "position": { + "x": 289.34508989014773, + "y": 303.66130966487185 + }, + "positionAbsolute": { + "x": 289.34508989014773, + "y": 303.66130966487185 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": { + "channel": "text", + "top_n": 10 + }, + "label": "DuckDuckGo", + "name": "duck" + }, + "dragging": false, + "height": 44, + "id": "DuckDuckGo:NiceSeasInvent", + "position": { + "x": 7.657335234364808, + "y": 400.76450914063935 + }, + "positionAbsolute": { + "x": 7.657335234364808, + "y": 400.76450914063935 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": { + "top_n": 10 + }, + "label": "Baidu", + "name": "baidu" + }, + "dragging": false, + "height": 44, + "id": "Baidu:CleanJarsMake", + "position": { + "x": 4.976667339189191, + "y": 470.1425762216463 + }, + "positionAbsolute": { + "x": 4.976667339189191, + "y": 470.1425762216463 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": { + "language": "en", + "top_n": 10 + }, + "label": "Wikipedia", + "name": "wikipedia" + }, + "dragging": false, + "height": 44, + "id": "Wikipedia:ThinLampsTravel", + "position": { + "x": 7.415215541604823, + "y": 528.2289617116074 + }, + "positionAbsolute": { + "x": 7.415215541604823, + "y": 528.2289617116074 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": { + "lang": "en", + "time_period": "7d", + "type": "weather", + "user_type": "free", + "web_apikey": "947e8994bc5f488f8857d618ebac1b19" + }, + "label": "QWeather", + "name": "weather" + }, + "dragging": false, + "height": 44, + "id": "QWeather:DeepKiwisTeach", + "position": { + "x": -298.10498664044485, + "y": -82.71505095397171 + }, + "positionAbsolute": { + "x": -298.10498664044485, + "y": -82.71505095397171 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": {}, + "label": "Answer", + "name": "interact1" + }, + "dragging": false, + "height": 44, + "id": "Answer:FlatGhostsCheat", + "position": { + "x": -270.33248490121287, + "y": 829.1217635254768 + }, + "positionAbsolute": { + "x": -270.33248490121287, + "y": 829.1217635254768 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": { + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "parameter": "Precise", + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_n": 3, + "top_p": 0.3 + }, + "label": "KeywordExtract", + "name": "websearch" + }, + "dragging": false, + "height": 86, + "id": "KeywordExtract:PurpleApplesKnow", + "position": { + "x": -303.2049394929516, + "y": 320.75977377137053 + }, + "positionAbsolute": { + "x": -303.2049394929516, + "y": 320.75977377137053 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "keywordNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You‘re warm-hearted lovely young girl, 22 years old, located at Shanghai in China. Your name is R. Who are talking to you is your very good old friend of yours.\n\nTask: \n- Chat with the friend.\n- Ask question and care about them.\n- Provide useful advice to your friend.\n- Tell jokes to make your firend happy.\n\nThe following is the weatcher information:\n{weather}", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "smalltalk" + }, + "dragging": false, + "height": 86, + "id": "Generate:FiveDragonsLay", + "position": { + "x": -303.2049394929516, + "y": 460.205697890327 + }, + "positionAbsolute": { + "x": -303.2049394929516, + "y": 460.205697890327 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 + }, + { + "data": { + "form": { + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "parameter": "Precise", + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_n": 2, + "top_p": 0.3 + }, + "label": "KeywordExtract", + "name": "keywords" + }, + "dragging": false, + "height": 86, + "id": "KeywordExtract:FineApesSmash", + "position": { + "x": 14.063015347768669, + "y": 76.34377998562843 + }, + "positionAbsolute": { + "x": 14.063015347768669, + "y": 76.34377998562843 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "keywordNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You are a professional medical consulting translation assistant\n\nTask: Translate user questions into Chinese, ensuring accuracy of medical terminology and appropriateness of context.\n\nRequirements:\n- Accurately translate medical terminology to convey the integrity and emotional color of the original message.\n- For unclear or uncertain medical terminology, the original text may be retained to ensure accuracy.\n- Respect the privacy and sensitivity of medical consultations and ensure that sensitive information is not disclosed during the translation process.\n- If the user's question is in Chinese, there is no need to translate, just output the user's question directly\n\nExample:\nOriginal (English): Doctor, I have been suffering from chest pain and shortness of breath for the past few days.\nTranslation (Chinese): 医生，我这几天一直胸痛和气短。\n\nNote:\nOnly the translated content needs to be output, no other irrelevant content!", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "tranlate to Chinese" + }, + "dragging": false, + "height": 86, + "id": "Generate:OddInsectsRaise", + "position": { + "x": 12.765618637774594, + "y": 178.87533029035853 + }, + "positionAbsolute": { + "x": 12.765618637774594, + "y": 178.87533029035853 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You are a professional medical consulting translation assistant\n\nTask: Translate user questions into Chinese, ensuring accuracy of medical terminology and appropriateness of context.\n\nRequirements:\n- Accurately translate medical terminology to convey the integrity and emotional color of the original message.\n- For unclear or uncertain medical terminology, the original text may be retained to ensure accuracy.\n- Respect the privacy and sensitivity of medical consultations and ensure that sensitive information is not disclosed during the translation process.\n- If the user's question is in Chinese, there is no need to translate, just output the user's question directly\n\nExample:\nOriginal (English): Doctor, I have been suffering from chest pain and shortness of breath for the past few days.\nTranslation (Chinese): 医生，我这几天一直胸痛和气短。\n\nNote:\nOnly the translated content needs to be output, no other irrelevant content!", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "translate to English" + }, + "dragging": false, + "height": 86, + "id": "Generate:TenderFlowersItch", + "position": { + "x": 9.616920282777585, + "y": 286.21729375511256 + }, + "positionAbsolute": { + "x": 9.616920282777585, + "y": 286.21729375511256 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 + }, + { + "data": { + "form": { + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "similarity_threshold": 0.2, + "top_n": 8 + }, + "label": "Retrieval", + "name": "medical Q&A" + }, + "dragging": false, + "height": 44, + "id": "Retrieval:LemonGeckosHear", + "position": { + "x": 285.6757005660011, + "y": 197.46859232883952 + }, + "positionAbsolute": { + "x": 285.6757005660011, + "y": 197.46859232883952 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "retrievalNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": true, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "parameters": [ + { + "component_id": "Wikipedia:ThinLampsTravel", + "id": "faab021e-fd99-4fe2-bbe8-aeb9f04666ca", + "key": "wikipedia" + }, + { + "component_id": "Baidu:CleanJarsMake", + "id": "3e343beb-73be-47b2-abaf-031720287160", + "key": "baidu" + }, + { + "component_id": "DuckDuckGo:NiceSeasInvent", + "id": "3ad8a3ee-aa44-46b7-bf18-e67a4f8592f2", + "key": "duckduckgo" + } + ], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You‘re warm-hearted lovely assistant, young girl, 22 years old, located at Shanghai in China. Your name is R. \n\nTask: Chat with user. Answer the question based on the provided content from: Knowledge Base, Wikipedia, Duckduckgo, Baidu.\n\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all sources(Wikipedia, Duckduckgo, Baidu) as long as they are relevant, and label the sources of the cited content separately.\n - Attach URL links to the content which is quoted from Wikipedia, DuckDuckGo or Baidu.\n - Do not make thing up when there's no relevant information to user's question. \n\n\n## Wikipedia content\n{wikipedia}\n\n\n## Duckduckgo content\n{duckduckgo}\n\n\n## Baidu content\n{baidu}", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "websearchGen" + }, + "dragging": false, + "height": 212, + "id": "Generate:CalmWallsCheer", + "position": { + "x": 287.0927265176085, + "y": 383.24304164357665 + }, + "positionAbsolute": { + "x": 287.0927265176085, + "y": 383.24304164357665 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": true, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "parameters": [ + { + "component_id": "Retrieval:LemonGeckosHear", + "id": "b6ede15c-37a5-456e-b1ed-91de3ca45328", + "key": "kb_input" + }, + { + "component_id": "PubMed:EasyQueensLose", + "id": "35ca3088-efe8-4b6f-bbe1-54ecd90d349a", + "key": "pm_input" + } + ], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You are a professional medical consulting assistant\n\nTasks: Answer questions posed by users. Answer based on content provided by the knowledge base, PubMed\n\nRequirement:\n- Answers may refer to the content provided (Knowledge Base, PubMed).\n- If the provided PubMed content is referenced, a link to the corresponding URL should be given.\n-Answers should be professional and accurate; no information should be fabricated that is not relevant to the user's question.\n\nProvided knowledge base content\n{kb_input}\n\nPubMed content provided\n{pm_input}", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "medGen" + }, + "dragging": false, + "height": 170, + "id": "Generate:CuddlyWaysVisit", + "position": { + "x": 550.0806166905354, + "y": 132.30169521573907 + }, + "positionAbsolute": { + "x": 550.0806166905354, + "y": 132.30169521573907 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 3, + "parameter": "Precise", + "parameters": [ + { + "component_id": "WenCai:TenParksOpen", + "id": "166c90ce-6e9e-448a-b71a-194a81b42b53", + "key": "wencai_input" + }, + { + "component_id": "AkShare:CalmHotelsKnow", + "id": "3d058485-4871-4a2f-b8af-8626e13d50bf", + "key": "ak_input" + } + ], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You are a professional financial counseling assistant.\n\nTask: Answer user's question based on content provided by Wencai and AkShare.\n\nNotice:\n- Output no more than 5 news items from AkShare if there's content provided by Wencai.\n- Items from AkShare MUST have a corresponding URL link.\n\n############\nContent provided by Wencai: \n{wencai_input}\n\n################\nContent provided by AkShare: \n{ak_input}\n", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "financeGen" + }, + "dragging": false, + "height": 170, + "id": "Generate:ItchyFilesTake", + "position": { + "x": 796.8396096895193, + "y": -47.62416832689189 + }, + "positionAbsolute": { + "x": 796.8396096895193, + "y": -47.62416832689189 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 0, + "parameter": "Precise", + "parameters": [ + { + "component_id": "QWeather:DeepKiwisTeach", + "id": "61469141-48a3-4798-a735-8237da0c0e7c", + "key": "weather" + } + ], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You‘re warm-hearted lovely young girl, 22 years old, located at Shanghai in China. Your name is R. Who are talking to you is your very good old friend of yours.\n\nTask: \n- Chat with the friend.\n- Ask question and care about them.\n- Tell your friend the weather if there's weather information provided. If your friend did not provide region information, ask about where he/she is.\n\nThe following is the weatcher information:\n{weather}\n", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "weatherGen" + }, + "dragging": false, + "height": 128, + "id": "Generate:SpicyChickenKneel", + "position": { + "x": 1069.1927254748075, + "y": -126.67333220998566 + }, + "positionAbsolute": { + "x": 1069.1927254748075, + "y": -126.67333220998566 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 + }, + { + "data": { + "form": { + "text": "Use QWeather to lookup weather." + }, + "label": "Note", + "name": "N: weather" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:SilverDotsExist", + "position": { + "x": -298.19983400974513, + "y": -223.95614896125952 + }, + "positionAbsolute": { + "x": -298.19983400974513, + "y": -223.95614896125952 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 201 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 201 + }, + { + "data": { + "form": { + "text": "Receives the user's first input." + }, + "label": "Note", + "name": "N: Interface" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 129, + "id": "Note:SixApplesBuy", + "position": { + "x": -891.375632399789, + "y": 104.17908459859171 + }, + "positionAbsolute": { + "x": -891.375632399789, + "y": 104.17908459859171 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 129, + "width": 206 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 206 + }, + { + "data": { + "form": { + "text": "The large model determines which category the user's input belongs to and passes it to different components.\n\nIt categorizes user's question into 5 kinds of requirements." + }, + "label": "Note", + "name": "N: categorize" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:WeakSquidsSell", + "position": { + "x": -611.6360243646881, + "y": 2.5943909323361254 + }, + "positionAbsolute": { + "x": -611.6360243646881, + "y": 2.5943909323361254 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode", + "width": 269 + }, + { + "data": { + "form": { + "text": "Receives the user's subsequent inputs and displays the large model's response to the user's query." + }, + "label": "Note", + "name": "N: Interact1" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:NastyPlanetsBet", + "position": { + "x": -267.26820114571024, + "y": 895.5661251048839 + }, + "positionAbsolute": { + "x": -267.26820114571024, + "y": 895.5661251048839 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 381 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 381 + }, + { + "data": { + "form": { + "text": "This part is for web search." + }, + "label": "Note", + "name": "N: duck & baidu & wikipedia" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:AngryCloudsHear", + "position": { + "x": 9.917983533129814, + "y": 597.5792802038565 + }, + "positionAbsolute": { + "x": 9.917983533129814, + "y": 597.5792802038565 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode", + "width": 269 + }, + { + "data": { + "form": { + "text": "This part is for medial/health issue.\nCheck out this dateset for 'Med Q&A'.\nhttps://huggingface.co/datasets/InfiniFlow/medical_QA" + }, + "label": "Note", + "name": "N: medGen" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:CommonWingsProve", + "position": { + "x": 667.6086950648928, + "y": 320.04639793250567 + }, + "positionAbsolute": { + "x": 667.6086950648928, + "y": 320.04639793250567 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 425 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 425 + }, + { + "data": { + "form": { + "text": "This part is for fiance/economic questions." + }, + "label": "Note", + "name": "N: financeGen" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:WickedRocksMatter", + "position": { + "x": 806.2393068252843, + "y": 135.72131770444153 + }, + "positionAbsolute": { + "x": 806.2393068252843, + "y": 135.72131770444153 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 208 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 208 + }, + { + "data": { + "form": { + "text": "This part is for weather consulting." + }, + "label": "Note", + "name": "N: weatherGen" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:FiftyWebsReport", + "position": { + "x": 1104.5947767935495, + "y": 17.63844720518125 + }, + "positionAbsolute": { + "x": 1104.5947767935495, + "y": 17.63844720518125 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode", + "width": 269 + } + ], + "edges": [ + { + "id": "81de838d-a541-4b3f-9d68-9172ffd7c6b4", + "label": "", + "source": "begin", + "target": "answer:0" + }, + { + "id": "reactflow__edge-Concentrator:TrueGeckosSlideb-WenCai:TenParksOpenc", + "markerEnd": "logo", + "source": "Concentrator:TrueGeckosSlide", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "WenCai:TenParksOpen", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-answer:0b-Categorize:KhakiTimesSmilea", + "markerEnd": "logo", + "source": "answer:0", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Categorize:KhakiTimesSmile", + "targetHandle": "a", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Answer:FlatGhostsCheatc-Categorize:KhakiTimesSmilea", + "markerEnd": "logo", + "source": "Answer:FlatGhostsCheat", + "sourceHandle": "c", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Categorize:KhakiTimesSmile", + "targetHandle": "a", + "type": "buttonEdge" + }, + { + "id": "0d626427-e843-4f03-82d0-988fb56f90e0", + "source": "Categorize:KhakiTimesSmile", + "sourceHandle": "1. weather", + "target": "QWeather:DeepKiwisTeach" + }, + { + "id": "51cf20cb-c9e5-4333-b284-61d9fe0f1f86", + "source": "Categorize:KhakiTimesSmile", + "sourceHandle": "2. finance", + "target": "Concentrator:TrueGeckosSlide" + }, + { + "id": "f19a4dde-19ea-439c-a80f-5704e5355395", + "source": "Categorize:KhakiTimesSmile", + "sourceHandle": "3. medical", + "target": "Concentrator:DryTrainsSearch" + }, + { + "id": "reactflow__edge-Categorize:KhakiTimesSmile4. other-KeywordExtract:PurpleApplesKnowc", + "markerEnd": "logo", + "source": "Categorize:KhakiTimesSmile", + "sourceHandle": "4. other", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "KeywordExtract:PurpleApplesKnow", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Categorize:KhakiTimesSmile5. chitchatting-Generate:FiveDragonsLayc", + "markerEnd": "logo", + "source": "Categorize:KhakiTimesSmile", + "sourceHandle": "5. chitchatting", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:FiveDragonsLay", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-KeywordExtract:PurpleApplesKnowb-DuckDuckGo:NiceSeasInventc", + "markerEnd": "logo", + "source": "KeywordExtract:PurpleApplesKnow", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "DuckDuckGo:NiceSeasInvent", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-KeywordExtract:PurpleApplesKnowb-Baidu:CleanJarsMakec", + "markerEnd": "logo", + "source": "KeywordExtract:PurpleApplesKnow", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Baidu:CleanJarsMake", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-KeywordExtract:PurpleApplesKnowb-Wikipedia:ThinLampsTravelc", + "markerEnd": "logo", + "source": "KeywordExtract:PurpleApplesKnow", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Wikipedia:ThinLampsTravel", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Concentrator:TrueGeckosSlideb-KeywordExtract:FineApesSmashc", + "markerEnd": "logo", + "source": "Concentrator:TrueGeckosSlide", + "sourceHandle": "b", + "style": { + "stroke": 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" } diff --git a/agent/templates/interpreter.json b/agent/templates/interpreter.json index 2c31c0580a..31a38f53d8 100644 --- a/agent/templates/interpreter.json +++ b/agent/templates/interpreter.json @@ -4,155 +4,257 @@ "description": "A simple interpreter that translates user input into a target language. Try 'Hi there => Spanish' to see the translation!", "canvas_type": "chatbot", "dsl": { - "answer": [], - "components": { - "answer:0": { - "downstream": ["generate:0"], - "obj": { - "component_name": "Answer", - "params": {} - }, - "upstream": ["begin", "generate:0"] - }, - "begin": { - "downstream": ["answer:0"], - "obj": { - "component_name": "Begin", - "params": { - "prologue": "Hi there! Please enter the text you want to translate in format like: 'text you want to translate' => target language. For an example: 您好！ => English" - } - }, - "upstream": [] - }, - "generate:0": { - "downstream": ["answer:0"], - "obj": { - "component_name": "Generate", - "params": { - "llm_id": "deepseek-chat", - "prompt": "You are an professional interpreter.\n- Role: an professional interpreter.\n- Input format: content need to be translated => target language. \n- Answer format: => translated content in target language. \n- Examples:\n - user: 您好！ => English. assistant: => How are you doing!\n - user: You look good today. => Japanese. assistant: => 今日は調子がいいですね 。\n" - } - }, - "upstream": ["answer:0"] - } - }, - "graph": { - "edges": [ - { - "id": "c87c7805-8cf0-4cd4-b45b-152031811020", - "label": "", - "source": "begin", - "target": "answer:0" + "answer": [], + "components": { + "begin": { + "obj": { + "component_name": "Begin", + "params": { + "prologue": "Hi there! Please enter the text you want to translate in format like: 'text you want to translate' => target language. For an example: 您好！ => English" + } + }, + "downstream": [ + "Answer:ShortPapersShake" + ], + "upstream": [] }, - { - "id": "reactflow__edge-answer:0b-generate:0d", - "markerEnd": "logo", - "source": "answer:0", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 + "Answer:ShortPapersShake": { + "obj": { + "component_name": "Answer", + "params": {} }, - "target": "generate:0", - "targetHandle": "d", - "type": "buttonEdge" + "downstream": [ + "Generate:HeavyForksTell" + ], + "upstream": [ + "begin", + "Generate:HeavyForksTell" + ] }, - { - "id": "reactflow__edge-generate:0c-answer:0a", - "markerEnd": "logo", - "source": "generate:0", - "sourceHandle": "c", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 + "Generate:HeavyForksTell": { + "obj": { + "component_name": "Generate", + "params": { + "cite": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "parameters": [], + "presence_penalty": 0.4, + "prompt": "You are an professional interpreter.\n- Role: an professional interpreter.\n- Input format: content need to be translated => target language. \n- Answer format: => translated content in target language. \n- Examples:\n - user: 您好！ => English. assistant: => How are you doing!\n - user: You look good today. => Japanese. assistant: => 今日は調子がいいですね 。\n", + "temperature": 0.1, + "top_p": 0.3 + } }, - "target": "answer:0", - "targetHandle": "a", - "type": "buttonEdge" + "downstream": [ + "Answer:ShortPapersShake" + ], + "upstream": [ + "Answer:ShortPapersShake" + ] } - ], - "nodes": [ - { - "data": { - "form": { - "prologue": "Hi there! Please enter the text you want to translate in format like: 'text you want to translate' => target language. For an example: 您好！ => English" + }, + "embed_id": "", + "graph": { + "nodes": [ + { + "data": { + "form": { + "prologue": "Hi there! Please enter the text you want to translate in format like: 'text you want to translate' => target language. For an example: 您好！ => English" + }, + "label": "Begin", + "name": "Instruction" }, - "label": "Begin", - "name": "Instruction" - }, - "dragging": false, - "height": 50, - "id": "begin", - "position": { - "x": -175.31950791077287, - "y": 32.340246044613565 - }, - "positionAbsolute": { - "x": -175.31950791077287, - "y": 32.340246044613565 - }, - "selected": true, - "sourcePosition": "left", - "targetPosition": "right", - "type": "beginNode", - "width": 50 - }, - { - "data": { - "form": {}, - "label": "Answer", - "name": "Interface" + "dragging": false, + "height": 44, + "id": "begin", + "position": { + "x": -227.62119327532662, + "y": 204.18864081386155 + }, + "positionAbsolute": { + "x": -227.62119327532662, + "y": 204.18864081386155 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "beginNode", + "width": 100 }, - "dragging": false, - "height": 100, - "id": "answer:0", - "position": { - "x": 0, - "y": 6 + { + "data": { + "form": {}, + "label": "Answer", + "name": "Interface" + }, + "dragging": false, + "height": 44, + "id": "Answer:ShortPapersShake", + "position": { + "x": -2.51245296887717, + "y": 206.25402277426554 + }, + "positionAbsolute": { + "x": -2.51245296887717, + "y": 206.25402277426554 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "logicNode", + "width": 200 }, - "positionAbsolute": { - "x": 0, - "y": 6 + { + "data": { + "form": { + "cite": true, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "You are an professional interpreter.\n- Role: an professional interpreter.\n- Input format: content need to be translated => target language. \n- Answer format: => translated content in target language. \n- Examples:\n - user: 您好！ => English. assistant: => How are you doing!\n - user: You look good today. => Japanese. assistant: => 今日は調子がいいですね 。\n", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Translate" + }, + "dragging": false, + "height": 86, + "id": "Generate:HeavyForksTell", + "position": { + "x": -1.8557846635797546, + "y": 70.16420357406685 + }, + "positionAbsolute": { + "x": -1.8557846635797546, + "y": 70.16420357406685 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { - "llm_id": "deepseek-chat", - "prompt": "You are an professional interpreter.\n- Role: an professional interpreter.\n- Input format: content need to be translated => target language. \n- Answer format: => translated content in target language. \n- Examples:\n - user: 您好！ => English. assistant: => How are you doing!\n - user: You look good today. => Japanese. assistant: => 今日は調子がいいですね 。\n", - "temperature": 0.5 + { + "data": { + "form": { + "text": "The large model translates the user's desired content into the target language, returns the translated language." + }, + "label": "Note", + "name": "N: Translate" + }, + "dragging": false, + "height": 180, + "id": "Note:VioletNumbersStrive", + "position": { + "x": 0.8506882512325546, + "y": -119.10519445109118 + }, + "positionAbsolute": { + "x": 0.8506882512325546, + "y": -119.10519445109118 }, - "label": "Generate", - "name": "Translate" + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 180, + "width": 209 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 209, + "dragHandle": ".note-drag-handle" }, - "dragging": false, - "height": 150, - "id": "generate:0", - "position": { - "x": 214.89015821545786, - "y": 135.10439391733706 + { + "data": { + "form": { + "text": "Receives the content the user wants to translate and the target language, displays the translation result from the large model." + }, + "label": "Note", + "name": "N: Interface" + }, + "dragging": false, + "height": 157, + "id": "Note:WarmDoodlesSwim", + "position": { + "x": 22.5293807600396, + "y": 267.8448268086032 + }, + "positionAbsolute": { + "x": 22.5293807600396, + "y": 267.8448268086032 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 157, + "width": 252 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 252, + "dragHandle": ".note-drag-handle" + } + ], + "edges": [ + { + "id": "reactflow__edge-begin-Answer:ShortPapersShakec", + "markerEnd": "logo", + "source": "begin", + "sourceHandle": null, + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:ShortPapersShake", + "targetHandle": "c", + "type": "buttonEdge" }, - "positionAbsolute": { - "x": 214.89015821545786, - "y": 135.10439391733706 + { + "id": "reactflow__edge-Answer:ShortPapersShakeb-Generate:HeavyForksTellb", + "markerEnd": "logo", + "source": "Answer:ShortPapersShake", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:HeavyForksTell", + "targetHandle": "b", + "type": "buttonEdge" }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 150 - } - ] + { + "id": "reactflow__edge-Generate:HeavyForksTellc-Answer:ShortPapersShakec", + "markerEnd": "logo", + "source": "Generate:HeavyForksTell", + "sourceHandle": "c", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:ShortPapersShake", + "targetHandle": "c", + "type": "buttonEdge" + } + ] + }, + "history": [], + "messages": [], + "path": [], + "reference": [] }, - "history": [], - "messages": [], - "path": [], 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" } diff --git a/agent/templates/investment_advisor.json b/agent/templates/investment_advisor.json index c919f35546..e92ae51276 100644 --- a/agent/templates/investment_advisor.json +++ b/agent/templates/investment_advisor.json @@ -4,403 +4,568 @@ "description": "An intelligent investment advisor that can answer your financial questions based on real-time domestic financial data and financial information.", "canvas_type": "chatbot", "dsl": { - "answer": [], - "components": { + "answer": [], + "components": { + "begin": { + "obj": { + "component_name": "Begin", + "params": { + "prologue": "Hi there!" + } + }, + "downstream": [ + "Answer:NeatLandsWave" + ], + "upstream": [] + }, + "WenCai:TenParksOpen": { + "obj": { + "component_name": "WenCai", + "params": { + "query_type": "stock", + "top_n": 5 + } + }, + "downstream": [ + "Generate:RottenPianosUnite" + ], + "upstream": [ + "Answer:NeatLandsWave" + ] + }, "AkShare:CalmHotelsKnow": { - "downstream": [ - "Generate:RottenMangosSmash" - ], - "obj": { - "component_name": "AkShare", - "params": { - "top_n": 10 - } - }, - "upstream": [ - "KeywordExtract:AllGarlicsPress" - ] + "obj": { + "component_name": "AkShare", + "params": { + "top_n": 10 + } + }, + "downstream": [ + "Generate:RottenPianosUnite" + ], + "upstream": [ + "KeywordExtract:BreezyGoatsRead" + ] }, - "Generate:RottenMangosSmash": { - "downstream": [ - "answer:0" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "message_history_window_size": 0, - "parameters": [ - { - "component_id": "WenCai:TenParksOpen", - "id": "6045431c-3206-4aae-8f4e-c36c27c488d1", - "key": "wencai_input" - }, - { - "component_id": "AkShare:CalmHotelsKnow", - "id": "1eca5d40-9718-4a62-8e4c-afbd48fd3929", - "key": "ak_input" - } - ], - "presence_penalty": 0.4, - "prompt": "Role: You are a professional financial counseling assistant.\n\nTask: Answer user's question based on content provided by Wencai and AkShare.\n\nNotice:\n- Output no more than 5 news items from AkShare if there's content provided by Wencai.\n- Items from AkShare MUST have a corresponding URL link.\n\n############\nContent provided by Wencai: \n{wencai_input}\n\n################\nContent provided by AkShare: \n{ak_input}", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "WenCai:TenParksOpen", - "AkShare:CalmHotelsKnow" - ] + "Answer:NeatLandsWave": { + "obj": { + "component_name": "Answer", + "params": {} + }, + "downstream": [ + "WenCai:TenParksOpen", + "KeywordExtract:BreezyGoatsRead" + ], + "upstream": [ + "begin", + "Generate:RottenPianosUnite" + ] }, - "KeywordExtract:AllGarlicsPress": { - "downstream": [ - "AkShare:CalmHotelsKnow" - ], - "obj": { - "component_name": "KeywordExtract", - "params": { - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "maxTokensEnabled": true, - "max_tokens": 256, - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_n": 2, - "top_p": 0.3 + "Generate:RottenPianosUnite": { + "obj": { + "component_name": "Generate", + "params": { + "cite": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 0, + "parameters": [ + { + "component_id": "WenCai:TenParksOpen", + "id": "d35f331b-2787-4ae7-ab81-a7ea15970843", + "key": "wencai_input" + }, + { + "component_id": "AkShare:CalmHotelsKnow", + "id": "36c4db0b-c80d-4119-a2a6-05ed9f7efbc9", + "key": "ak_input" } - }, - "upstream": [ - "answer:0" - ] + ], + "presence_penalty": 0.4, + "prompt": "Role: You are a professional financial counseling assistant.\n\nTask: Answer user's question based on content provided by Wencai and AkShare.\n\nNotice:\n- Output no more than 5 news items from AkShare if there's content provided by Wencai.\n- Items from AkShare MUST have a corresponding URL link.\n\n############\nContent provided by Wencai: \n{wencai_input}\n\n################\nContent provided by AkShare: \n{ak_input}", + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "Answer:NeatLandsWave" + ], + "upstream": [ + "WenCai:TenParksOpen", + "AkShare:CalmHotelsKnow" + ] }, - "WenCai:TenParksOpen": { - "downstream": [ - "Generate:RottenMangosSmash" - ], - "obj": { - "component_name": "WenCai", - "params": { - "query_type": "stock", - "top_n": 5 - } + "KeywordExtract:BreezyGoatsRead": { + "obj": { + "component_name": "KeywordExtract", + "params": { + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "parameter": "Precise", + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_n": 2, + "top_p": 0.3 + } + }, + "downstream": [ + "AkShare:CalmHotelsKnow" + ], + "upstream": [ + "Answer:NeatLandsWave" + ] + } + }, + "graph": { + "nodes": [ + { + "data": { + "form": { + "prologue": "Hi there!" + }, + "label": "Begin", + "name": "Opening" }, - "upstream": [ - "answer:0" - ] - }, - "answer:0": { - "downstream": [ - "WenCai:TenParksOpen", - "KeywordExtract:AllGarlicsPress" - ], - "obj": { - "component_name": "Answer", - "params": {} - }, - "upstream": [ - "begin", - "Generate:RottenMangosSmash" - ] - }, - "begin": { - "downstream": [ - "answer:0" - ], - "obj": { - "component_name": "Begin", - "params": { - "prologue": "Hi there!" - } + "dragging": false, + "height": 44, + "id": "begin", + "position": { + "x": -521.8118264317484, + "y": -27.999467037576665 }, - "upstream": [] - } - }, - "graph": { - "edges": [ - { - "id": "81de838d-a541-4b3f-9d68-9172ffd7c6b4", - "label": "", - "source": "begin", - "target": "answer:0" - }, - { - "id": "reactflow__edge-WenCai:TenParksOpenb-Generate:RottenMangosSmashc", - "markerEnd": "logo", - "source": "WenCai:TenParksOpen", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:RottenMangosSmash", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-AkShare:CalmHotelsKnowb-Generate:RottenMangosSmashc", - "markerEnd": "logo", - "source": "AkShare:CalmHotelsKnow", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:RottenMangosSmash", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:RottenMangosSmashd-answer:0d", - "markerEnd": "logo", - "source": "Generate:RottenMangosSmash", - "sourceHandle": "d", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "answer:0", - "targetHandle": "d", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-answer:0b-WenCai:TenParksOpenc", - "markerEnd": "logo", - "source": "answer:0", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "WenCai:TenParksOpen", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-answer:0b-KeywordExtract:AllGarlicsPressc", - "markerEnd": "logo", - "source": "answer:0", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "KeywordExtract:AllGarlicsPress", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-KeywordExtract:AllGarlicsPressb-AkShare:CalmHotelsKnowc", - "markerEnd": "logo", - "source": "KeywordExtract:AllGarlicsPress", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "AkShare:CalmHotelsKnow", - "targetHandle": "c", - "type": "buttonEdge" - } + "positionAbsolute": { + "x": -521.8118264317484, + "y": -27.999467037576665 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "beginNode", + "width": 100 + }, + { + "data": { + "form": { + "query_type": "stock", + "top_n": 5 + }, + "label": "WenCai", + "name": "Wencai" + }, + "dragging": false, + "height": 44, + "id": "WenCai:TenParksOpen", + "position": { + "x": -13.030801663267397, + "y": -30.557141660610256 + }, + "positionAbsolute": { + "x": -13.030801663267397, + "y": -30.557141660610256 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": { + "top_n": 10 + }, + "label": "AkShare", + "name": "AKShare" + }, + "dragging": false, + "height": 44, + "id": "AkShare:CalmHotelsKnow", + "position": { + "x": 267.17349571786156, + "y": 100.01281266803943 + }, + "positionAbsolute": { + "x": 267.17349571786156, + "y": 100.01281266803943 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": {}, + "label": "Answer", + "name": "Interact" + }, + "dragging": false, + "height": 44, + "id": "Answer:NeatLandsWave", + "position": { + "x": -304.0612563145512, + "y": -29.054278091837944 + }, + "positionAbsolute": { + "x": -304.0612563145512, + "y": -29.054278091837944 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": true, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 0, + "parameter": "Precise", + "parameters": [ + { + "component_id": "WenCai:TenParksOpen", + "id": "d35f331b-2787-4ae7-ab81-a7ea15970843", + "key": "wencai_input" + }, + { + "component_id": "AkShare:CalmHotelsKnow", + "id": "36c4db0b-c80d-4119-a2a6-05ed9f7efbc9", + "key": "ak_input" + } + ], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You are a professional financial counseling assistant.\n\nTask: Answer user's question based on content provided by Wencai and AkShare.\n\nNotice:\n- Output no more than 5 news items from AkShare if there's content provided by Wencai.\n- Items from AkShare MUST have a corresponding URL link.\n\n############\nContent provided by Wencai: \n{wencai_input}\n\n################\nContent provided by AkShare: \n{ak_input}", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "LLM" + }, + "dragging": false, + "height": 170, + "id": "Generate:RottenPianosUnite", + "position": { + "x": -16.477598988611703, + "y": -251.90091743639417 + }, + "positionAbsolute": { + "x": -16.477598988611703, + "y": -251.90091743639417 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 + }, + { + "data": { + "form": { + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "parameter": "Precise", + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_n": 2, + "top_p": 0.3 + }, + "label": "KeywordExtract", + "name": "Keywords" + }, + "dragging": false, + "height": 86, + "id": "KeywordExtract:BreezyGoatsRead", + "position": { + "x": -17.690374759999543, + "y": 80.39964392387697 + }, + "positionAbsolute": { + "x": -17.690374759999543, + "y": 80.39964392387697 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "keywordNode", + "width": 200 + }, + { + "data": { + "form": { + "text": "Receives the user's financial inquiries and displays the large model's response to financial questions." + }, + "label": "Note", + "name": "N: Interact" + }, + "dragging": false, + "height": 162, + "id": "Note:FuzzyPoetsLearn", + "position": { + "x": -296.5982116419186, + "y": 38.77567426067935 + }, + "positionAbsolute": { + "x": -296.5982116419186, + "y": 38.77567426067935 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 162, + "width": 214 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 214, + "dragHandle": ".note-drag-handle" + }, + { + "data": { + "form": { + "text": "Extracts keywords based on the user's financial questions for better retrieval." + }, + "label": "Note", + "name": "N: Keywords" + }, + "dragging": false, + "height": 155, + "id": "Note:FlatBagsRun", + "position": { + "x": -14.82895160277127, + "y": 186.52508153680787 + }, + "positionAbsolute": { + "x": -14.82895160277127, + "y": 186.52508153680787 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 155, + "width": 213 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 213, + "dragHandle": ".note-drag-handle" + }, + { + "data": { + "form": { + "text": "Searches on akshare for the latest news about economics based on the keywords and returns the results." + }, + "label": "Note", + "name": "N: AKShare" + }, + "dragging": false, + "height": 128, + "id": "Note:WarmClothsSort", + "position": { + "x": 573.7653319987893, + "y": 102.64512355369035 + }, + "positionAbsolute": { + "x": 573.7653319987893, + "y": 102.64512355369035 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 283 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 283, + "dragHandle": ".note-drag-handle" + }, + { + "data": { + "form": { + "text": "Searches by Wencai to select stocks that satisfy user mentioned conditions." + }, + "label": "Note", + "name": "N: Wencai" + }, + "dragging": false, + "height": 128, + "id": "Note:TiredReadersWash", + "position": { + "x": 571.4274792499875, + "y": -37.07105560150117 + }, + "positionAbsolute": { + "x": 571.4274792499875, + "y": -37.07105560150117 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 285 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 285, + "dragHandle": ".note-drag-handle" + }, + { + "data": { + "form": { + "text": "The large model answers the user's medical health questions based on the searched and retrieved content." + }, + "label": "Note", + "name": "N: LLM" + }, + "dragging": false, + "height": 163, + "id": "Note:TameBoatsType", + "position": { + "x": -7.849538042569293, + "y": -427.90526378748035 + }, + "positionAbsolute": { + "x": -7.849538042569293, + "y": -427.90526378748035 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 163, + "width": 212 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 212, + "dragHandle": ".note-drag-handle" + } ], - "nodes": [ - { - "data": { - "form": { - "prologue": "Hi there!" - }, - "label": "Begin", - "name": "Opening" - }, - "dragging": false, - "height": 50, - "id": "begin", - "position": { - "x": -327.8118264317484, - "y": -2.9994670375766646 - }, - "positionAbsolute": { - "x": -327.8118264317484, - "y": -2.9994670375766646 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "beginNode", - "width": 50 - }, - { - "data": { - "form": {}, - "label": "Answer", - "name": "Interface" - }, - "dragging": false, - "height": 100, - "id": "answer:0", - "position": { - "x": -186.4123883768126, - "y": -27.957575810677824 - }, - "positionAbsolute": { - "x": -186.4123883768126, - "y": -27.957575810677824 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { - "query_type": "stock", - "top_n": 5 - }, - "label": "WenCai", - "name": "wencai" - }, - "dragging": false, - "height": 50, - "id": "WenCai:TenParksOpen", - "position": { - "x": -21.020232062982387, - "y": -47.73820863114301 - }, - "positionAbsolute": { - "x": -21.020232062982387, - "y": -47.73820863114301 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "width": 50 - }, - { - "data": { - "form": { - "top_n": 10 - }, - "label": "AkShare", - "name": "akshare" - }, - "dragging": false, - "height": 50, - "id": "AkShare:CalmHotelsKnow", - "position": { - "x": 99.2973230068406, - "y": 62.01564509712426 - }, - "positionAbsolute": { - "x": 99.2973230068406, - "y": 62.01564509712426 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "width": 50 - }, - { - "data": { - "form": { - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "maxTokensEnabled": true, - "max_tokens": 256, - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_n": 2, - "top_p": 0.3 - }, - "label": "KeywordExtract", - "name": "keywords" - }, - "dragging": false, - "height": 70, - "id": "KeywordExtract:AllGarlicsPress", - "position": { - "x": -18.700715327199163, - "y": 51.73207329420393 - }, - "positionAbsolute": { - "x": -18.700715327199163, - "y": 51.73207329420393 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 70 - }, - { - "data": { - "form": { - "cite": true, - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "maxTokensEnabled": false, - "max_tokens": 2048, - "message_history_window_size": 0, - "parameter": "Precise", - "parameters": [ - { - "component_id": "WenCai:TenParksOpen", - "id": "6045431c-3206-4aae-8f4e-c36c27c488d1", - "key": "wencai_input" - }, - { - "component_id": "AkShare:CalmHotelsKnow", - "id": "1eca5d40-9718-4a62-8e4c-afbd48fd3929", - "key": "ak_input" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "Role: You are a professional financial counseling assistant.\n\nTask: Answer user's question based on content provided by Wencai and AkShare.\n\nNotice:\n- Output no more than 5 news items from AkShare if there's content provided by Wencai.\n- Items from AkShare MUST have a corresponding URL link.\n\n############\nContent provided by Wencai: \n{wencai_input}\n\n################\nContent provided by AkShare: \n{ak_input}", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "generate" - }, - "dragging": false, - "height": 150, - "id": "Generate:RottenMangosSmash", - "position": { - "x": 271.2569202344237, - "y": -154.181391877237 - }, - "positionAbsolute": { - "x": 271.2569202344237, - "y": -154.181391877237 - }, - "selected": true, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 150 - } + "edges": [ + { + "id": "reactflow__edge-begin-Answer:NeatLandsWavec", + "markerEnd": "logo", + "source": "begin", + "sourceHandle": null, + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:NeatLandsWave", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Answer:NeatLandsWaveb-WenCai:TenParksOpenc", + "markerEnd": "logo", + "source": "Answer:NeatLandsWave", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "WenCai:TenParksOpen", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-KeywordExtract:BreezyGoatsReadb-AkShare:CalmHotelsKnowc", + "markerEnd": "logo", + "source": "KeywordExtract:BreezyGoatsRead", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "AkShare:CalmHotelsKnow", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-WenCai:TenParksOpenb-Generate:RottenPianosUniteb", + "markerEnd": "logo", + "source": "WenCai:TenParksOpen", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:RottenPianosUnite", + "targetHandle": "b", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-AkShare:CalmHotelsKnowb-Generate:RottenPianosUniteb", + "markerEnd": "logo", + "source": "AkShare:CalmHotelsKnow", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:RottenPianosUnite", + "targetHandle": "b", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Generate:RottenPianosUnitec-Answer:NeatLandsWavec", + "markerEnd": "logo", + "source": "Generate:RottenPianosUnite", + "sourceHandle": "c", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:NeatLandsWave", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Answer:NeatLandsWaveb-KeywordExtract:BreezyGoatsReadc", + "markerEnd": "logo", + "source": "Answer:NeatLandsWave", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "KeywordExtract:BreezyGoatsRead", + "targetHandle": "c", + "type": "buttonEdge" + } ] + }, + "history": [], + "messages": [], + "path": [], + "reference": [] }, - "history": [], - "messages": [], - "path": [], - "reference": [] - }, "avatar": 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" } diff --git a/agent/templates/medical_consultation.json b/agent/templates/medical_consultation.json index 2acc2126b6..ef72c4d5f2 100644 --- a/agent/templates/medical_consultation.json +++ b/agent/templates/medical_consultation.json @@ -4,489 +4,671 @@ "description": "Medical Consultation Assistant, can provide you with some professional consultation suggestions for your reference. Please note that the content provided by the medical assistant is for reference only and may not be authentic or available. Knowledge Base Content Reference: Medical Knowledge Base Reference", "canvas_type": "chatbot", "dsl": { - "answer": [], - "components": { - "Answer:FlatRavensPush": { - "downstream": [ - "Generate:BraveSnailsCheer", - "Generate:UpsetCarrotsPoke" - ], - "obj": { - "component_name": "Answer", - "params": {} - }, - "upstream": [ - "begin", - "Generate:WholePansReply" - ] - }, - "Generate:BraveSnailsCheer": { - "downstream": [ - "PubMed:TwentyFansShake" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "max_tokens": 256, - "message_history_window_size": 12, - "parameters": [], - "presence_penalty": 0.4, - "prompt": "Role: You are a professional Chinese-English medical question translation assistant\n\nTask: Accurately translate users' Chinese medical question content into English, ensuring accuracy of terminology and clarity of expression\n\nRequirements:\n- In-depth understanding of the terminology and disease descriptions in Chinese medical inquiries to ensure correct medical vocabulary is used in the English translation.\n- Maintain the semantic integrity and accuracy of the original text to avoid omitting important information or introducing errors.\n- Pay attention to the differences in expression habits between Chinese and English, and make appropriate adjustments to make the English translation more natural and fluent.\n- Respect the patient's privacy and the principle of medical confidentiality, and do not disclose any sensitive information during the translation process.\n\nExample\uff1a\nOriginal sentence: \u6211\u6700\u8fd1\u603b\u662f\u611f\u89c9\u80f8\u95f7\uff0c\u6709\u65f6\u8fd8\u4f1a\u6709\u5fc3\u60b8\u7684\u611f\u89c9\u3002\nTranslated: I've been feeling chest tightness recently, and sometimes I experience palpitations.\n\nNote:\nOnly the translated content should be given, do not output other irrelevant content!", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Answer:FlatRavensPush" - ] - }, - "Generate:UpsetCarrotsPoke": { - "downstream": [ - "Retrieval:FastPlumsWish" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "max_tokens": 256, - "message_history_window_size": 12, - "parameters": [], - "presence_penalty": 0.4, - "prompt": "Role: You are a professional medical consulting translation assistant\n\nTask: Translate user questions into Chinese, ensuring accuracy of medical terminology and appropriateness of context.\n\nRequirements:\n- Accurately translate medical terminology to convey the integrity and emotional color of the original message.\n- For unclear or uncertain medical terminology, the original text may be retained to ensure accuracy.\n- Respect the privacy and sensitivity of medical consultations and ensure that sensitive information is not disclosed during the translation process.\n- If the user's question is in Chinese, there is no need to translate, just output the user's question directly\n\nExample:\nOriginal (English): Doctor, I have been suffering from chest pain and shortness of breath for the past few days.\nTranslation (Chinese): \u533b\u751f\uff0c\u6211\u8fd9\u51e0\u5929\u4e00\u76f4\u80f8\u75db\u548c\u6c14\u77ed\u3002\n\nNote:\nOnly the translated content needs to be output, no other irrelevant content!", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Answer:FlatRavensPush" - ] - }, - "Generate:WholePansReply": { - "downstream": [ - "Answer:FlatRavensPush" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "max_tokens": 1024, - "message_history_window_size": 12, - "parameters": [ - { - "component_id": "PubMed:TwentyFansShake", - "id": "2c063fef-5379-44ae-91f6-06e914e5ad2e", - "key": "pm_input" - }, - { - "component_id": "Retrieval:FastPlumsWish", - "id": "51fb537e-f68d-475f-93b3-d77c85e758a1", - "key": "kb_input" - } - ], - "presence_penalty": 0.4, - "prompt": "Role: You are a professional medical consulting assistant\n\nTasks: Answer questions posed by users. Answer based on content provided by the knowledge base, PubMed\n\nRequirement:\n- Answers may refer to the content provided (Knowledge Base, PubMed).\n- If the provided PubMed content is referenced, a link to the corresponding URL should be given.\n-Answers should be professional and accurate; no information should be fabricated that is not relevant to the user's question.\n\nProvided knowledge base content\n{kb_input}\n\nPubMed content provided\n{pm_input}", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "PubMed:TwentyFansShake", - "Retrieval:FastPlumsWish" - ] - }, - "PubMed:TwentyFansShake": { - "downstream": [ - "Generate:WholePansReply" - ], - "obj": { - "component_name": "PubMed", - "params": { - "email": "email@example.com", - "top_n": 10 - } - }, - "upstream": [ - "Generate:BraveSnailsCheer" - ] - }, - "Retrieval:FastPlumsWish": { - "downstream": [ - "Generate:WholePansReply" - ], - "obj": { - "component_name": "Retrieval", - "params": { - "kb_ids": [], - "keywords_similarity_weight": 0.3, - "similarity_threshold": 0.2, - "top_n": 8 - } - }, - "upstream": [ - "Generate:UpsetCarrotsPoke" - ] + "answer": [], + "components": { + "begin": { + "obj": { + "component_name": "Begin", + "params": {} + }, + "downstream": [ + "Answer:FlatRavensPush" + ], + "upstream": [] + }, + "PubMed:TwentyFansShake": { + "obj": { + "component_name": "PubMed", + "params": { + "email": "928018077@qq.com", + "top_n": 10 + } + }, + "downstream": [ + "Generate:SolidCrewsStare" + ], + "upstream": [ + "Generate:FortyBaboonsRule" + ] + }, + "Answer:FlatRavensPush": { + "obj": { + "component_name": "Answer", + "params": {} + }, + "downstream": [ + "Generate:QuietMelonsHear", + "Generate:FortyBaboonsRule" + ], + "upstream": [ + "begin", + "Generate:SolidCrewsStare" + ] + }, + "Generate:QuietMelonsHear": { + "obj": { + "component_name": "Generate", + "params": { + "cite": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "parameters": [], + "presence_penalty": 0.4, + "prompt": "Role: You are a professional medical consulting translation assistant\n\nTask: Translate user questions into Chinese, ensuring accuracy of medical terminology and appropriateness of context.\n\nRequirements:\n- Accurately translate medical terminology to convey the integrity and emotional color of the original message.\n- For unclear or uncertain medical terminology, the original text may be retained to ensure accuracy.\n- Respect the privacy and sensitivity of medical consultations and ensure that sensitive information is not disclosed during the translation process.\n- If the user's question is in Chinese, there is no need to translate, just output the user's question directly\n\nExample:\nOriginal (English): Doctor, I have been suffering from chest pain and shortness of breath for the past few days.\nTranslation (Chinese): 医生，我这几天一直胸痛和气短。\n\nNote:\nOnly the translated content needs to be output, no other irrelevant content!", + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "Retrieval:BeigeBagsDress" + ], + "upstream": [ + "Answer:FlatRavensPush" + ] + }, + "Generate:FortyBaboonsRule": { + "obj": { + "component_name": "Generate", + "params": { + "cite": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "parameters": [], + "presence_penalty": 0.4, + "prompt": "Role: You are a professional Chinese-English medical question translation assistant\n\nTask: Accurately translate users' Chinese medical question content into English, ensuring accuracy of terminology and clarity of expression\n\nRequirements:\n- In-depth understanding of the terminology and disease descriptions in Chinese medical inquiries to ensure correct medical vocabulary is used in the English translation.\n- Maintain the semantic integrity and accuracy of the original text to avoid omitting important information or introducing errors.\n- Pay attention to the differences in expression habits between Chinese and English, and make appropriate adjustments to make the English translation more natural and fluent.\n- Respect the patient's privacy and the principle of medical confidentiality, and do not disclose any sensitive information during the translation process.\n\nExample：\nOriginal sentence: 我最近总是感觉胸闷，有时还会有心悸的感觉。\nTranslated: I've been feeling chest tightness recently, and sometimes I experience palpitations.\n\nNote:\nOnly the translated content should be given, do not output other irrelevant content!", + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "PubMed:TwentyFansShake" + ], + "upstream": [ + "Answer:FlatRavensPush" + ] + }, + "Generate:SolidCrewsStare": { + "obj": { + "component_name": "Generate", + "params": { + "cite": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "parameters": [ + { + "component_id": "PubMed:TwentyFansShake", + "id": "9fe5f82e-7be5-45d2-bc6c-1f9ba7e14b34", + "key": "pm_input" }, - "begin": { - "downstream": [ - "Answer:FlatRavensPush" - ], - "obj": { - "component_name": "Begin", - "params": {} - }, - "upstream": [] + { + "component_id": "Retrieval:BeigeBagsDress", + "id": "d2e7b0e2-e222-4776-988c-db239581a083", + "key": "kb_input" } + ], + "presence_penalty": 0.4, + "prompt": "Role: You are a professional medical consulting assistant\n\nTasks: Answer questions posed by users. Answer based on content provided by the knowledge base, PubMed\n\nRequirement:\n- Answers may refer to the content provided (Knowledge Base, PubMed).\n- If the provided PubMed content is referenced, a link to the corresponding URL should be given.\n-Answers should be professional and accurate; no information should be fabricated that is not relevant to the user's question.\n\nProvided knowledge base content\n{kb_input}\n\nPubMed content provided\n{pm_input}", + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "Answer:FlatRavensPush" + ], + "upstream": [ + "PubMed:TwentyFansShake", + "Retrieval:BeigeBagsDress" + ] + }, + "Retrieval:BeigeBagsDress": { + "obj": { + "component_name": "Retrieval", + "params": { + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "similarity_threshold": 0.2, + "top_n": 8 + } + }, + "downstream": [ + "Generate:SolidCrewsStare" + ], + "upstream": [ + "Generate:QuietMelonsHear" + ] + } + }, + "graph": { + "nodes": [ + { + "data": { + "label": "Begin", + "name": "opening" + }, + "dragging": false, + "height": 44, + "id": "begin", + "position": { + "x": -599.8361708291377, + "y": 161.91688790133628 + }, + "positionAbsolute": { + "x": -599.8361708291377, + "y": 161.91688790133628 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "beginNode", + "width": 100 + }, + { + "data": { + "form": { + "email": "928018077@qq.com", + "top_n": 10 + }, + "label": "PubMed", + "name": "Search PubMed" + }, + "dragging": false, + "height": 44, + "id": "PubMed:TwentyFansShake", + "position": { + "x": 389.7229173847695, + "y": 276.4372267765921 + }, + "positionAbsolute": { + "x": 389.7229173847695, + "y": 276.4372267765921 }, - "graph": { - "edges": [ - { - "id": "reactflow__edge-begin-Answer:FlatRavensPushc", - "markerEnd": "logo", - "source": "begin", - "sourceHandle": null, - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:FlatRavensPush", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-PubMed:TwentyFansShakeb-Generate:WholePansReplyc", - "markerEnd": "logo", - "source": "PubMed:TwentyFansShake", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:WholePansReply", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Retrieval:FastPlumsWishb-Generate:WholePansReplyc", - "markerEnd": "logo", - "source": "Retrieval:FastPlumsWish", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:WholePansReply", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:WholePansReplya-Answer:FlatRavensPusha", - "markerEnd": "logo", - "source": "Generate:WholePansReply", - "sourceHandle": "a", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:FlatRavensPush", - "targetHandle": "a", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Answer:FlatRavensPushb-Generate:BraveSnailsCheerc", - "markerEnd": "logo", - "source": "Answer:FlatRavensPush", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:BraveSnailsCheer", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:BraveSnailsCheerb-PubMed:TwentyFansShakec", - "markerEnd": "logo", - "source": "Generate:BraveSnailsCheer", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "PubMed:TwentyFansShake", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Answer:FlatRavensPushd-Generate:UpsetCarrotsPokec", - "markerEnd": "logo", - "source": "Answer:FlatRavensPush", - "sourceHandle": "d", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:UpsetCarrotsPoke", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:UpsetCarrotsPokeb-Retrieval:FastPlumsWishc", - "markerEnd": "logo", - "source": "Generate:UpsetCarrotsPoke", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Retrieval:FastPlumsWish", - "targetHandle": "c", - "type": "buttonEdge" - } + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": {}, + "label": "Answer", + "name": "Interface" + }, + "dragging": false, + "height": 44, + "id": "Answer:FlatRavensPush", + "position": { + "x": -370.881803561134, + "y": 161.41373998842477 + }, + "positionAbsolute": { + "x": -370.881803561134, + "y": 161.41373998842477 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": true, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You are a professional medical consulting translation assistant\n\nTask: Translate user questions into Chinese, ensuring accuracy of medical terminology and appropriateness of context.\n\nRequirements:\n- Accurately translate medical terminology to convey the integrity and emotional color of the original message.\n- For unclear or uncertain medical terminology, the original text may be retained to ensure accuracy.\n- Respect the privacy and sensitivity of medical consultations and ensure that sensitive information is not disclosed during the translation process.\n- If the user's question is in Chinese, there is no need to translate, just output the user's question directly\n\nExample:\nOriginal (English): Doctor, I have been suffering from chest pain and shortness of breath for the past few days.\nTranslation (Chinese): 医生，我这几天一直胸痛和气短。\n\nNote:\nOnly the translated content needs to be output, no other irrelevant content!", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Translate to Chinese" + }, + "dragging": false, + "height": 86, + "id": "Generate:QuietMelonsHear", + "position": { + "x": -2.756518132081453, + "y": 38.86485966020132 + }, + "positionAbsolute": { + "x": -2.756518132081453, + "y": 38.86485966020132 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": true, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You are a professional Chinese-English medical question translation assistant\n\nTask: Accurately translate users' Chinese medical question content into English, ensuring accuracy of terminology and clarity of expression\n\nRequirements:\n- In-depth understanding of the terminology and disease descriptions in Chinese medical inquiries to ensure correct medical vocabulary is used in the English translation.\n- Maintain the semantic integrity and accuracy of the original text to avoid omitting important information or introducing errors.\n- Pay attention to the differences in expression habits between Chinese and English, and make appropriate adjustments to make the English translation more natural and fluent.\n- Respect the patient's privacy and the principle of medical confidentiality, and do not disclose any sensitive information during the translation process.\n\nExample：\nOriginal sentence: 我最近总是感觉胸闷，有时还会有心悸的感觉。\nTranslated: I've been feeling chest tightness recently, and sometimes I experience palpitations.\n\nNote:\nOnly the translated content should be given, do not output other irrelevant content!", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Translate to English" + }, + "dragging": false, + "height": 86, + "id": "Generate:FortyBaboonsRule", + "position": { + "x": -3.825864707727135, + "y": 253.2285157283701 + }, + "positionAbsolute": { + "x": -3.825864707727135, + "y": 253.2285157283701 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": true, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "parameters": [ + { + "component_id": "PubMed:TwentyFansShake", + "id": "9fe5f82e-7be5-45d2-bc6c-1f9ba7e14b34", + "key": "pm_input" + }, + { + "component_id": "Retrieval:BeigeBagsDress", + "id": "d2e7b0e2-e222-4776-988c-db239581a083", + "key": "kb_input" + } ], - "nodes": [ - { - "data": { - "label": "Begin", - "name": "opening" - }, - "dragging": false, - "height": 50, - "id": "begin", - "position": { - "x": -150.51830264174046, - "y": 192.36132289534214 - }, - "positionAbsolute": { - "x": -150.51830264174046, - "y": 192.36132289534214 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "beginNode", - "width": 50 - }, - { - "data": { - "form": { - "email": "928018077@qq.com", - "top_n": 10 - }, - "label": "PubMed", - "name": "Search PubMed" - }, - "dragging": false, - "height": 50, - "id": "PubMed:TwentyFansShake", - "position": { - "x": 411.1209571180216, - "y": 293.67922026697573 - }, - "positionAbsolute": { - "x": 411.1209571180216, - "y": 293.67922026697573 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "width": 50 - }, - { - "data": { - "form": {}, - "label": "Answer", - "name": "Interface" - }, - "dragging": false, - "height": 100, - "id": "Answer:FlatRavensPush", - "position": { - "x": -27.594553801136584, - "y": 166.66278050463274 - }, - "positionAbsolute": { - "x": -27.594553801136584, - "y": 166.66278050463274 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { - "kb_ids": [], - "keywords_similarity_weight": 0.3, - "similarity_threshold": 0.2, - "top_n": 8 - }, - "label": "Retrieval", - "name": "Search KB" - }, - "dragging": false, - "height": 100, - "id": "Retrieval:FastPlumsWish", - "position": { - "x": 389.1925431609217, - "y": -53.66130634833843 - }, - "positionAbsolute": { - "x": 389.1925431609217, - "y": -53.66130634833843 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { - "cite": true, - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "maxTokensEnabled": true, - "max_tokens": 1024, - "message_history_window_size": 12, - "parameter": "Precise", - "parameters": [ - { - "component_id": "PubMed:TwentyFansShake", - "id": "2c063fef-5379-44ae-91f6-06e914e5ad2e", - "key": "pm_input" - }, - { - "component_id": "Retrieval:FastPlumsWish", - "id": "51fb537e-f68d-475f-93b3-d77c85e758a1", - "key": "kb_input" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "Role: You are a professional medical consulting assistant\n\nTasks: Answer questions posed by users. Answer based on content provided by the knowledge base, PubMed\n\nRequirement:\n- Answers may refer to the content provided (Knowledge Base, PubMed).\n- If the provided PubMed content is referenced, a link to the corresponding URL should be given.\n-Answers should be professional and accurate; no information should be fabricated that is not relevant to the user's question.\n\nProvided knowledge base content\n{kb_input}\n\nPubMed content provided\n{pm_input}", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "LLM" - }, - "dragging": false, - "height": 150, - "id": "Generate:WholePansReply", - "position": { - "x": 632.6457249054133, - "y": 243.99641016676225 - }, - "positionAbsolute": { - "x": 632.6457249054133, - "y": 243.99641016676225 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 150 - }, - { - "data": { - "form": { - "cite": true, - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "maxTokensEnabled": true, - "max_tokens": 256, - "message_history_window_size": 12, - "parameters": [], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "Role: You are a professional Chinese-English medical question translation assistant\n\nTask: Accurately translate users' Chinese medical question content into English, ensuring accuracy of terminology and clarity of expression\n\nRequirements:\n- In-depth understanding of the terminology and disease descriptions in Chinese medical inquiries to ensure correct medical vocabulary is used in the English translation.\n- Maintain the semantic integrity and accuracy of the original text to avoid omitting important information or introducing errors.\n- Pay attention to the differences in expression habits between Chinese and English, and make appropriate adjustments to make the English translation more natural and fluent.\n- Respect the patient's privacy and the principle of medical confidentiality, and do not disclose any sensitive information during the translation process.\n\nExample\uff1a\nOriginal sentence: \u6211\u6700\u8fd1\u603b\u662f\u611f\u89c9\u80f8\u95f7\uff0c\u6709\u65f6\u8fd8\u4f1a\u6709\u5fc3\u60b8\u7684\u611f\u89c9\u3002\nTranslated: I've been feeling chest tightness recently, and sometimes I experience palpitations.\n\nNote:\nOnly the translated content should be given, do not output other irrelevant content!", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "Translate to English" - }, - "dragging": false, - "height": 150, - "id": "Generate:BraveSnailsCheer", - "position": { - "x": 235.27003638545648, - "y": 141.22382352447266 - }, - "positionAbsolute": { - "x": 235.27003638545648, - "y": 141.22382352447266 - }, - "selected": true, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 150 - }, - { - "data": { - "form": { - "cite": true, - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "maxTokensEnabled": true, - "max_tokens": 256, - "message_history_window_size": 12, - "parameter": "Precise", - "parameters": [], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "Role: You are a professional medical consulting translation assistant\n\nTask: Translate user questions into Chinese, ensuring accuracy of medical terminology and appropriateness of context.\n\nRequirements:\n- Accurately translate medical terminology to convey the integrity and emotional color of the original message.\n- For unclear or uncertain medical terminology, the original text may be retained to ensure accuracy.\n- Respect the privacy and sensitivity of medical consultations and ensure that sensitive information is not disclosed during the translation process.\n- If the user's question is in Chinese, there is no need to translate, just output the user's question directly\n\nExample:\nOriginal (English): Doctor, I have been suffering from chest pain and shortness of breath for the past few days.\nTranslation (Chinese): \u533b\u751f\uff0c\u6211\u8fd9\u51e0\u5929\u4e00\u76f4\u80f8\u75db\u548c\u6c14\u77ed\u3002\n\nNote:\nOnly the translated content needs to be output, no other irrelevant content!", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "Translate to Chinese" - }, - "dragging": false, - "height": 150, - "id": "Generate:UpsetCarrotsPoke", - "position": { - "x": 174.90602346154253, - "y": -74.84373200722371 - }, - "positionAbsolute": { - "x": 174.90602346154253, - "y": -74.84373200722371 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 150 - } - ] - }, - "history": [], - "messages": [], - "path": [], - "reference": [] - }, + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You are a professional medical consulting assistant\n\nTasks: Answer questions posed by users. 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Citations may include links to full text content from PubMed Central and publisher web sites." + }, + "label": "Note", + "name": "N: Search PubMed" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 220, + "id": "Note:MightyDeerShout", + "position": { + "x": 718.5466371404648, + "y": 275.36877921849293 + }, + "positionAbsolute": { + "x": 718.5466371404648, + "y": 275.36877921849293 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 220, + "width": 287 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 287 + }, + { + "data": { + "form": { + "text": "You can download the Q&A dataset at\nhttps://huggingface.co/datasets/InfiniFlow/medical_QA" + }, + "label": "Note", + "name": "N: Search Q&A" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:VioletSuitsFlash", + "position": { + "x": 776.4332169584197, + "y": 32.89802610798361 + }, + "positionAbsolute": { + 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}, + "target": "Answer:FlatRavensPush", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Answer:FlatRavensPushb-Generate:QuietMelonsHearc", + "markerEnd": "logo", + "source": "Answer:FlatRavensPush", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:QuietMelonsHear", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Answer:FlatRavensPushb-Generate:FortyBaboonsRulec", + "markerEnd": "logo", + "source": "Answer:FlatRavensPush", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:FortyBaboonsRule", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Generate:FortyBaboonsRuleb-PubMed:TwentyFansShakec", + "markerEnd": "logo", + "source": "Generate:FortyBaboonsRule", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": 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"Retrieval:BeigeBagsDress", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Generate:SolidCrewsStarec-Answer:FlatRavensPushc", + "markerEnd": "logo", + "source": "Generate:SolidCrewsStare", + "sourceHandle": "c", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:FlatRavensPush", + "targetHandle": "c", + "type": "buttonEdge" + } + ] + }, + "history": [], + "messages": [], + "path": [], + "reference": [] + }, "avatar": 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" } diff --git a/agent/templates/text2sql.json b/agent/templates/text2sql.json index de159f5e1a..8d69ab3dfb 100644 --- a/agent/templates/text2sql.json +++ b/agent/templates/text2sql.json @@ -4,442 +4,582 @@ "description": "An agent that converts user queries into SQL statements. You must prepare three knowledge bases: 1: DDL for your database; 2: Examples of user queries converted to SQL statements; 3: A comprehensive description of your database, including but not limited to tables and records.", "canvas_type": "chatbot", "dsl": { - "answer": [], - "components": { - "Answer:SocialAdsWonder": { - "downstream": [ - "Retrieval:WetNewsHunt", - "Retrieval:OpenWingsRepeat", - "Retrieval:StrongDrinksShare" - ], - "obj": { - "component_name": "Answer", - "params": {} - }, - "upstream": [ - "begin", - "Generate:OliveDotsInvent" - ] - }, - "Generate:OliveDotsInvent": { - "downstream": [ - "Answer:SocialAdsWonder" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "max_tokens": 256, - "message_history_window_size": 12, - "parameters": [ - { - "component_id": "Retrieval:StrongDrinksShare", - "id": "36c09e33-bad2-42fe-9a56-f136677bb405", - "key": "ddl_input" - }, - { - "component_id": "Retrieval:OpenWingsRepeat", - "id": "e4cfe15e-64cd-4351-b49e-0da2f5c8ec34", - "key": "db_input" - }, - { - "component_id": "Retrieval:WetNewsHunt", - "id": "946d8272-fc98-4040-a75f-502df7e4a42e", - "key": "sql_input" - } - ], - "presence_penalty": 0.4, - "prompt": "Role: You are an intelligent DB assistant that can help humans generate SQL statements for problems.\n\n##The user provides a question and you provide SQL. You will only respond with SQL code and not with any explanations.\n\n##You may use the following DDL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {ddl_input}.\n\n##You may use the following documentation as a reference for what tables might be available. Use responses to past questions also to guide you: {db_input}.\n\n##You may use the following SQL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {sql_input}.\n\n##Respond with only SQL code. 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You will only respond with SQL code and not with any explanations.\n\n##Respond with only SQL code. Do not answer with any explanations -- just the code.\n\n##You may use the following DDL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {ddl_input}.\n\n##You may use the following documentation as a reference for what tables might be available. Use responses to past questions also to guide you: {db_input}.\n\n##You may use the following SQL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {sql_input}.", + "temperature": 0.1, + "top_p": 0.3 + } + }, + "downstream": [ + "Answer:SocialAdsWonder" + ], + "upstream": [ + "Retrieval:TrueCornersJam", + "Retrieval:EasyDryersShop", + "Retrieval:LazyChefsWatch" + ] + } + }, + "embed_id": "", + "graph": { + "nodes": [ + { + "data": { + "label": "Begin", + "name": "begin" + }, + "dragging": false, + "height": 44, + "id": "begin", + "position": { + "x": -520.486587527275, + "y": 117.87988995940702 + }, + "positionAbsolute": { + "x": -520.486587527275, + "y": 117.87988995940702 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "beginNode", + "width": 100 + }, + { + "data": { + "form": {}, + "label": "Answer", + "name": "interface" + }, + "dragging": false, + "height": 44, + "id": "Answer:SocialAdsWonder", + "position": { + "x": -284.9289105495367, + "y": 119.9282206409824 + }, + "positionAbsolute": { + "x": -284.9289105495367, + "y": 119.9282206409824 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": { + "empty_response": "Nothing found in DDL!", + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "similarity_threshold": 0.02, + "top_n": 8 + }, + "label": "Retrieval", + "name": "DDL" }, - 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"markerEnd": "logo", - "source": "Answer:SocialAdsWonder", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Retrieval:StrongDrinksShare", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Retrieval:StrongDrinksShareb-Generate:OliveDotsInventa", - "markerEnd": "logo", - "source": "Retrieval:StrongDrinksShare", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:OliveDotsInvent", - "targetHandle": "a", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Retrieval:WetNewsHuntb-Generate:OliveDotsInventa", - "markerEnd": "logo", - "source": "Retrieval:WetNewsHunt", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:OliveDotsInvent", - "targetHandle": "a", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Retrieval:OpenWingsRepeatb-Generate:OliveDotsInventa", - "markerEnd": "logo", - "source": "Retrieval:OpenWingsRepeat", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:OliveDotsInvent", - "targetHandle": "a", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:OliveDotsInventc-Answer:SocialAdsWonderd", - "markerEnd": "logo", - "source": "Generate:OliveDotsInvent", - "sourceHandle": "c", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:SocialAdsWonder", - "targetHandle": "d", - "type": "buttonEdge" - } + "dragging": false, + "height": 44, + "id": "Retrieval:TrueCornersJam", + "position": { + "x": 119.61927071085717, + "y": -40.184181873335746 + }, + "positionAbsolute": { + "x": 119.61927071085717, + "y": -40.184181873335746 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "retrievalNode", + "width": 200 + }, + { + "data": { + "form": { + "empty_response": "Nothing found in Q-SQL!", + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "similarity_threshold": 0.2, + "top_n": 8 + }, + "label": "Retrieval", + "name": "Q->SQL" + }, + "dragging": false, + "height": 44, + "id": "Retrieval:EasyDryersShop", + "position": { + "x": 81.2024576603057, + "y": 94.16303322180948 + }, + "positionAbsolute": { + "x": 81.2024576603057, + "y": 94.16303322180948 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "retrievalNode", + "width": 200 + }, + { + "data": { + "form": { + "empty_response": "Nothing found in DB-Description!", + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "similarity_threshold": 0.2, + "top_n": 8 + }, + "label": "Retrieval", + "name": "DB Description" + }, + "dragging": false, + "height": 44, + "id": "Retrieval:LazyChefsWatch", + "position": { + "x": 51.228157704293324, + "y": 252.77721891325103 + }, + "positionAbsolute": { + "x": 51.228157704293324, + "y": 252.77721891325103 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "retrievalNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": true, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "parameters": [ + { + "component_id": "Retrieval:TrueCornersJam", + "id": "78644673-9236-4605-8110-59705fc38784", + "key": "ddl_input" + }, + { + "component_id": "Retrieval:LazyChefsWatch", + "id": "afbf91ce-6f58-4573-b02d-9a4973f124f4", + "key": "db_input" + }, + { + "component_id": "Retrieval:EasyDryersShop", + "id": "ee2b84f4-1cf5-43be-80e6-60bfaea3d834", + "key": "sql_input" + } ], - 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"top_n": 8 - }, - "label": "Retrieval", - "name": "Q->SQL" - }, - "dragging": false, - "height": 100, - "id": "Retrieval:WetNewsHunt", - "position": { - "x": -44.1852870981603, - "y": 130.77161580129524 - }, - "positionAbsolute": { - "x": -44.1852870981603, - "y": 130.77161580129524 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { - "cite": true, - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "maxTokensEnabled": true, - "max_tokens": 256, - "message_history_window_size": 12, - "parameters": [ - { - "component_id": "Retrieval:StrongDrinksShare", - "id": "36c09e33-bad2-42fe-9a56-f136677bb405", - "key": "ddl_input" - }, - { - "component_id": "Retrieval:OpenWingsRepeat", - "id": "e4cfe15e-64cd-4351-b49e-0da2f5c8ec34", - "key": "db_input" - }, - { - "component_id": "Retrieval:WetNewsHunt", - "id": "946d8272-fc98-4040-a75f-502df7e4a42e", - "key": "sql_input" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "##The user provides a question and you provide SQL. 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Use responses to past questions also to guide you: {sql_input}.", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "FuzzyGoatsCover" - }, - "dragging": false, - "height": 150, - "id": "Generate:OliveDotsInvent", - "position": { - "x": 127.63574050151522, - "y": -209.30480702441503 - }, - "positionAbsolute": { - "x": 127.63574050151522, - "y": -209.30480702441503 - }, - "selected": true, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 150 - }, - { - "data": { - "form": { - "empty_response": "Nothing found in DB-Description!", - "kb_ids": [ - "0ab5de985ba911efad9942010a8a0006" - ], - "keywords_similarity_weight": 0.3, - "similarity_threshold": 0.2, - "top_n": 8 - }, - "label": "Retrieval", - "name": "DB Description" - }, - "dragging": false, - "height": 100, - "id": "Retrieval:OpenWingsRepeat", - "position": { - "x": -44.48969718602855, - "y": 272.5769102113132 - }, - "positionAbsolute": { - "x": -44.48969718602855, - "y": 272.5769102113132 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { - "empty_response": "Nothing found in DDL!", - "kb_ids": [ - "b1a6a45e5ba811ef80dc42010a8a0006" - ], - "keywords_similarity_weight": 0.1, - "similarity_threshold": 0.02, - "top_n": 18 - }, - "label": "Retrieval", - "name": "DDL" - }, - "dragging": false, - "height": 100, - "id": "Retrieval:StrongDrinksShare", - "position": { - "x": -43.93396035294677, - "y": -8.215558854318687 - }, - "positionAbsolute": { - "x": -43.93396035294677, - "y": -8.215558854318687 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 100 - } - ] - }, - "history": [], - "messages": [], - "path": [], - "reference": [] - }, + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "##The user provides a question and you provide SQL. You will only respond with SQL code and not with any explanations.\n\n##Respond with only SQL code. Do not answer with any explanations -- just the code.\n\n##You may use the following DDL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {ddl_input}.\n\n##You may use the following documentation as a reference for what tables might be available. Use responses to past questions also to guide you: {db_input}.\n\n##You may use the following SQL statements as a reference for what tables might be available. Use responses to past questions also to guide you: {sql_input}.", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "LLM" + }, + "dragging": false, + "height": 212, + "id": "Generate:RareSymbolsGrin", + "position": { + "x": 6.6098512156750076, + "y": 405.0105548561454 + }, + "positionAbsolute": { + "x": 6.6098512156750076, + "y": 405.0105548561454 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 + }, + { + "data": { + "form": { + "text": "Receives a sentence that the user wants to convert into SQL and displays the result of the large model's SQL conversion." + }, + "label": "Note", + "name": "N: Interface" + }, + "dragging": false, + "height": 132, + "id": "Note:GentleRabbitsWonder", + "position": { + "x": -287.3066094433631, + "y": -30.808189185380513 + }, + "positionAbsolute": { + "x": -287.3066094433631, + "y": -30.808189185380513 + 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tables and fields." + }, + "label": "Note", + "name": "N: DB description" + }, + "dragging": false, + "height": 128, + "id": "Note:FamousCarpetsTaste", + "position": { + "x": 399.9267065852242, + "y": 250.0329701879931 + }, + "positionAbsolute": { + "x": 399.9267065852242, + "y": 250.0329701879931 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode", + "width": 269, + "dragHandle": ".note-drag-handle" + }, + { + "data": { + "form": { + "text": "Searches for samples about question to SQL.\nPlease check this dataset: https://huggingface.co/datasets/InfiniFlow/text2sql" + }, + "label": "Note", + "name": "N: Q->SQL" + }, + "dragging": false, + "height": 130, + "id": "Note:PoliteBeesArrive", + "position": { + "x": 489.0393427986917, + "y": 96.58232093146341 + }, + "positionAbsolute": { + "x": 489.0393427986917, + "y": 96.58232093146341 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 130, 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" } diff --git a/agent/templates/websearch_assistant.json b/agent/templates/websearch_assistant.json index a6b2b86c53..1da685c6b4 100644 --- a/agent/templates/websearch_assistant.json +++ b/agent/templates/websearch_assistant.json @@ -4,342 +4,109 @@ "description": "A chat assistant template that integrates information extracted from a knowledge base and web searches to respond to queries. Let's begin by setting up your knowledge base in 'Retrieval'!", "canvas_type": "chatbot", "dsl": { - "answer": [], - "components": { - "Answer:PoorMapsCover": { - "downstream": [ - "Retrieval:BetterRocksJump", - "KeywordExtract:LegalIdeasTurn" - ], - "obj": { - "component_name": "Answer", - "params": {} - }, - "upstream": ["Generate:FullYearsStick", "begin"] - }, - "Baidu:OliveAreasCall": { - "downstream": ["Generate:FullYearsStick"], - "obj": { - "component_name": "Baidu", - "params": { - "top_n": 2 - } - }, - "upstream": ["KeywordExtract:LegalIdeasTurn"] - }, - "DuckDuckGo:SoftButtonsRefuse": { - "downstream": ["Generate:FullYearsStick"], - "obj": { - "component_name": "DuckDuckGo", - "params": { - "channel": "text", - "top_n": 2 - } - }, - "upstream": ["KeywordExtract:LegalIdeasTurn"] - }, - "Generate:FullYearsStick": { - "downstream": ["Answer:PoorMapsCover"], - "obj": { - "component_name": "Generate", - "params": { - "cite": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "message_history_window_size": 12, - "parameters": [ - { - "component_id": "Retrieval:BetterRocksJump", - "id": "69415446-49bf-4d4b-8ec9-ac86066f7709", - "key": "kb_input" - }, - { - "component_id": "DuckDuckGo:SoftButtonsRefuse", - "id": "83363c2a-00a8-402f-a45c-ddc4097d7d8b", - "key": "duckduckgo" - }, - { - "component_id": "Wikipedia:WittyRiceLearn", - "id": "92c1e8e4-1597-4e65-a08d-c8cac4ac150f", - "key": "wikipedia" - }, - { - "component_id": "Baidu:OliveAreasCall", - "id": "19b5445a-7a6e-4a26-9aa9-47dfe3a03bea", - "key": "baidu" - } - ], - "presence_penalty": 0.4, - "prompt": "Role: You are an intelligent assistant. \nTask: Chat with user. Answer the question based on the provided content from: Knowledge Base, Wikipedia, Duckduckgo, Baidu.\nRequirements:\n - Answer should be in markdown format.\n - Summarize and label the sources of the cited content separately: (Knowledge Base, Wikipedia, Duckduckgo, Baidu).\n - Attach URL links to the content which is quoted from Wikipedia, DuckDuckGo or Baidu.\n - Do not make thing up when there's no relevant information to user's question. \n\n## Knowledge base content\n {kb_input}\n\n\n## Wikipedia content\n{wikipedia}\n\n\n## Duckduckgo content\n{duckduckgo}\n\n\n## Baidu content\n{baidu}", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "DuckDuckGo:SoftButtonsRefuse", - "Baidu:OliveAreasCall", - "Wikipedia:WittyRiceLearn", - "Retrieval:BetterRocksJump" - ] - }, - "KeywordExtract:LegalIdeasTurn": { - "downstream": [ - "Baidu:OliveAreasCall", - "DuckDuckGo:SoftButtonsRefuse", - "Wikipedia:WittyRiceLearn" - ], - "obj": { - "component_name": "KeywordExtract", - "params": { - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", - "maxTokensEnabled": true, - "max_tokens": 256, - "parameter": "Precise", - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_n": 2, - "top_p": 0.3 - } + "answer": [], + "components": { + "begin": { + "obj": { + "component_name": "Begin", + "params": {} + }, + "downstream": [ + "Answer:PoorMapsCover" + ], + "upstream": [] }, - "upstream": ["Answer:PoorMapsCover"] - }, - "Retrieval:BetterRocksJump": { - "downstream": ["Generate:FullYearsStick"], - "obj": { - "component_name": "Retrieval", - "params": { - "empty_response": "The answer you want was not found in the knowledge base!", - "kb_ids": [], - "keywords_similarity_weight": 0.3, - "similarity_threshold": 0.2, - "top_n": 8 - } + "Answer:PoorMapsCover": { + "obj": { + "component_name": "Answer", + "params": {} + }, + "downstream": [ + "RewriteQuestion:OrangeBottlesSwim" + ], + "upstream": [ + "begin", + "Generate:GreatCarrotsDecide" + ] }, - "upstream": ["Answer:PoorMapsCover"] - }, - "Wikipedia:WittyRiceLearn": { - "downstream": ["Generate:FullYearsStick"], - "obj": { - "component_name": "Wikipedia", - "params": { - "language": "en", - "top_n": 2 - } - }, - "upstream": ["KeywordExtract:LegalIdeasTurn"] - }, - "begin": { - "downstream": ["Answer:PoorMapsCover"], - "obj": { - "component_name": "Begin", - "params": {} - }, - "upstream": [] - } - }, - "graph": { - "edges": [ - { - "id": "reactflow__edge-Answer:PoorMapsCovera-Retrieval:BetterRocksJumpc", - "markerEnd": "logo", - "source": "Answer:PoorMapsCover", - "sourceHandle": "a", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Retrieval:BetterRocksJump", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Answer:PoorMapsCoverb-KeywordExtract:LegalIdeasTurnc", - "markerEnd": "logo", - "source": "Answer:PoorMapsCover", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "KeywordExtract:LegalIdeasTurn", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-KeywordExtract:LegalIdeasTurnb-Baidu:OliveAreasCallc", - "markerEnd": "logo", - "source": "KeywordExtract:LegalIdeasTurn", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Baidu:OliveAreasCall", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-KeywordExtract:LegalIdeasTurnb-DuckDuckGo:SoftButtonsRefusec", - "markerEnd": "logo", - "source": "KeywordExtract:LegalIdeasTurn", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "DuckDuckGo:SoftButtonsRefuse", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-KeywordExtract:LegalIdeasTurnb-Wikipedia:WittyRiceLearnc", - "markerEnd": "logo", - "source": "KeywordExtract:LegalIdeasTurn", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Wikipedia:WittyRiceLearn", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-DuckDuckGo:SoftButtonsRefuseb-Generate:FullYearsSticka", - "markerEnd": "logo", - "source": "DuckDuckGo:SoftButtonsRefuse", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:FullYearsStick", - "targetHandle": "a", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Baidu:OliveAreasCallb-Generate:FullYearsSticka", - "markerEnd": "logo", - "source": "Baidu:OliveAreasCall", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:FullYearsStick", - "targetHandle": "a", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Wikipedia:WittyRiceLearnb-Generate:FullYearsSticka", - "markerEnd": "logo", - "source": "Wikipedia:WittyRiceLearn", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:FullYearsStick", - "targetHandle": "a", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Retrieval:BetterRocksJumpb-Generate:FullYearsSticka", - "markerEnd": "logo", - "source": "Retrieval:BetterRocksJump", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:FullYearsStick", - "targetHandle": "a", - "type": "buttonEdge" + "Wikipedia:WittyRiceLearn": { + "obj": { + "component_name": "Wikipedia", + "params": { + "language": "en", + "top_n": 2 + } + }, + "downstream": [ + "Generate:GreatCarrotsDecide" + ], + "upstream": [ + "KeywordExtract:BeigeTipsStand" + ] }, - { - "id": "reactflow__edge-Generate:FullYearsStickd-Answer:PoorMapsCoverd", - "markerEnd": "logo", - "source": "Generate:FullYearsStick", - "sourceHandle": "d", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:PoorMapsCover", - "targetHandle": "d", - "type": "buttonEdge" + "Baidu:OliveAreasCall": { + "obj": { + "component_name": "Baidu", + "params": { + "top_n": 2 + } + }, + "downstream": [ + "Generate:GreatCarrotsDecide" + ], + "upstream": [ + "KeywordExtract:BeigeTipsStand" + ] }, - { - "id": "reactflow__edge-begin-Answer:PoorMapsCoverc", - "markerEnd": "logo", - "source": "begin", - "sourceHandle": null, - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:PoorMapsCover", - "targetHandle": "c", - "type": "buttonEdge" - } - ], - "nodes": [ - { - "data": { - "label": "Begin", - "name": "opening" - }, - "dragging": false, - "height": 50, - "id": "begin", - "position": { - "x": -1020.0423250754997, - "y": 54.07040832453751 - }, - "positionAbsolute": { - "x": -1020.0423250754997, - "y": 54.07040832453751 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "beginNode", - "width": 50 + "DuckDuckGo:SoftButtonsRefuse": { + "obj": { + "component_name": "DuckDuckGo", + "params": { + "channel": "text", + "top_n": 2 + } + }, + "downstream": [ + "Generate:GreatCarrotsDecide" + ], + "upstream": [ + "KeywordExtract:BeigeTipsStand" + ] }, - { - "data": { - "form": {}, - "label": "Answer", - "name": "interface" - }, - "dragging": false, - "height": 100, - "id": "Answer:PoorMapsCover", - "position": { - "x": -880.5773333116513, - "y": 29.2721628695582 - }, - "positionAbsolute": { - "x": -880.5773333116513, - "y": 29.2721628695582 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 100 + "RewriteQuestion:OrangeBottlesSwim": { + "obj": { + "component_name": "RewriteQuestion", + "params": { + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "loop": 1, + "maxTokensEnabled": true, + "max_tokens": 256, + "parameter": "Precise", + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + } + }, + "downstream": [ + "KeywordExtract:BeigeTipsStand", + "Retrieval:SilentCamelsStick" + ], + "upstream": [ + "Answer:PoorMapsCover" + ] }, - { - "data": { - "form": { + "KeywordExtract:BeigeTipsStand": { + "obj": { + "component_name": "KeywordExtract", + "params": { "frequencyPenaltyEnabled": true, "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", + "llm_id": "deepseek-chat@DeepSeek", "maxTokensEnabled": true, "max_tokens": 256, "parameter": "Precise", @@ -350,198 +117,743 @@ "topPEnabled": true, "top_n": 2, "top_p": 0.3 - }, - "label": "KeywordExtract", - "name": "get keywords" - }, - "dragging": false, - "height": 70, - "id": "KeywordExtract:LegalIdeasTurn", - "position": { - "x": -727.0680233991866, - "y": 43.6827878582167 - }, - "positionAbsolute": { - "x": -727.0680233991866, - "y": 43.6827878582167 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 70 + } + }, + "downstream": [ + "Baidu:OliveAreasCall", + "DuckDuckGo:SoftButtonsRefuse", + "Wikipedia:WittyRiceLearn" + ], + "upstream": [ + "RewriteQuestion:OrangeBottlesSwim" + ] }, - { - "data": { - "form": { + "Retrieval:SilentCamelsStick": { + "obj": { + "component_name": "Retrieval", + "params": { "empty_response": "The answer you want was not found in the knowledge base!", "kb_ids": [], "keywords_similarity_weight": 0.3, "similarity_threshold": 0.2, "top_n": 8 - }, - "label": "Retrieval", - "name": "Search KB" - }, - "dragging": false, - "height": 100, - "id": "Retrieval:BetterRocksJump", - "position": { - "x": -453.6381242126441, - "y": 245.01328822547293 - }, - "positionAbsolute": { - "x": -453.6381242126441, - "y": 245.01328822547293 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 100 - }, - { - "data": { - "form": { - "language": "en", - "top_n": 2 - }, - "label": "Wikipedia", - "name": "Wikipedia" - }, - "dragging": false, - "height": 100, - "id": "Wikipedia:WittyRiceLearn", - "position": { - "x": -552.2594439551717, - "y": 155.22722562174718 - }, - "positionAbsolute": { - "x": -552.2594439551717, - "y": 155.22722562174718 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "width": 100 + } + }, + "downstream": [ + "Generate:GreatCarrotsDecide" + ], + "upstream": [ + "RewriteQuestion:OrangeBottlesSwim" + ] }, - { - "data": { - "form": { - "top_n": 2 - }, - "label": "Baidu", - "name": "Baidu" - }, - "dragging": false, - "height": 100, - "id": "Baidu:OliveAreasCall", - "position": { - "x": -555.1646448972449, - "y": 22.458226784453046 - }, - "positionAbsolute": { - "x": -555.1646448972449, - "y": 22.458226784453046 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "width": 100 - }, - { - "data": { - "form": { - "channel": "text", - "top_n": 2 - }, - "label": "DuckDuckGo", - "name": "DuckDuckGo" - }, - "dragging": false, - "height": 100, - "id": "DuckDuckGo:SoftButtonsRefuse", - "position": { - "x": -554.7669080287701, - "y": -111.86266788597959 - }, - "positionAbsolute": { - "x": -554.7669080287701, - "y": -111.86266788597959 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "width": 100 - }, - { - "data": { - "form": { + "Generate:GreatCarrotsDecide": { + "obj": { + "component_name": "Generate", + "params": { "cite": true, - "frequencyPenaltyEnabled": true, "frequency_penalty": 0.7, - "llm_id": "deepseek-chat", + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, "message_history_window_size": 12, - "parameter": "Precise", "parameters": [ { - "component_id": "Retrieval:BetterRocksJump", - "id": "69415446-49bf-4d4b-8ec9-ac86066f7709", + "component_id": "Retrieval:SilentCamelsStick", + "id": "2a7a72d0-29da-4cfc-8745-57d5ee2251c3", "key": "kb_input" }, { "component_id": "DuckDuckGo:SoftButtonsRefuse", - "id": "83363c2a-00a8-402f-a45c-ddc4097d7d8b", + "id": "5f7239b7-aa50-431d-a8b7-871cf355b3ca", "key": "duckduckgo" }, { "component_id": "Wikipedia:WittyRiceLearn", - "id": "92c1e8e4-1597-4e65-a08d-c8cac4ac150f", + "id": "e6f8b466-d857-482b-b068-e5dcc593ee79", "key": "wikipedia" }, { "component_id": "Baidu:OliveAreasCall", - "id": "19b5445a-7a6e-4a26-9aa9-47dfe3a03bea", + "id": "d0e07768-bdad-4eee-beff-93a68ec83dd2", "key": "baidu" } ], - "presencePenaltyEnabled": true, "presence_penalty": 0.4, "prompt": "Role: You are an intelligent assistant. \nTask: Chat with user. Answer the question based on the provided content from: Knowledge Base, Wikipedia, Duckduckgo, Baidu.\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all sources(Knowledge Base, Wikipedia, Duckduckgo, Baidu) as long as they are relevant, and label the sources of the cited content separately.\n - Attach URL links to the content which is quoted from Wikipedia, DuckDuckGo or Baidu.\n - Do not make thing up when there's no relevant information to user's question. \n\n## Knowledge base content\n {kb_input}\n\n\n## Wikipedia content\n{wikipedia}\n\n\n## Duckduckgo content\n{duckduckgo}\n\n\n## Baidu content\n{baidu}", "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, "top_p": 0.3 - }, - "label": "Generate", - "name": "LLM" - }, - "dragging": false, - "height": 150, - "id": "Generate:FullYearsStick", - "position": { - "x": -355.85244068796055, - "y": -225.5280777950136 - }, - "positionAbsolute": { - "x": -355.85244068796055, - "y": -225.5280777950136 - }, - "selected": true, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 150 + } + }, + "downstream": [ + "Answer:PoorMapsCover" + ], + "upstream": [ + "Wikipedia:WittyRiceLearn", + "Baidu:OliveAreasCall", + "DuckDuckGo:SoftButtonsRefuse", + "Retrieval:SilentCamelsStick" + ] } - ] + }, + "embed_id": "", + "graph": { + "nodes": [ + { + "data": { + "label": "Begin", + "name": "opening" + }, + "dragging": false, + "height": 44, + "id": "begin", + "position": { + "x": -1379.627471412851, + "y": -135.63593055637585 + }, + "positionAbsolute": { + "x": -1379.627471412851, + "y": -135.63593055637585 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "beginNode", + "width": 100 + }, + { + "data": { + "form": {}, + "label": "Answer", + "name": "interface" + }, + "dragging": false, + "height": 44, + "id": "Answer:PoorMapsCover", + "position": { + "x": -1172.8677760724227, + "y": -134.7856818291531 + }, + "positionAbsolute": { + "x": -1172.8677760724227, + "y": -134.7856818291531 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": { + "language": "en", + "top_n": 2 + }, + "label": "Wikipedia", + "name": "Wikipedia" + }, + "dragging": false, + "height": 44, + "id": "Wikipedia:WittyRiceLearn", + "position": { + "x": -406.9217458441634, + "y": -54.01023495053805 + }, + "positionAbsolute": { + "x": -406.9217458441634, + "y": -54.01023495053805 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": { + "top_n": 2 + }, + "label": "Baidu", + "name": "Baidu" + }, + "dragging": false, + "height": 44, + "id": "Baidu:OliveAreasCall", + "position": { + "x": -334.8102520664264, + "y": -142.4206828864257 + }, + "positionAbsolute": { + "x": -334.8102520664264, + "y": -142.4206828864257 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": { + "channel": "text", + "top_n": 2 + }, + "label": "DuckDuckGo", + "name": "DuckDuckGo" + }, + "dragging": false, + "height": 44, + "id": "DuckDuckGo:SoftButtonsRefuse", + "position": { + "x": -241.42135935727495, + "y": -227.69429585279033 + }, + "positionAbsolute": { + "x": -241.42135935727495, + "y": -227.69429585279033 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": { + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "loop": 1, + "maxTokensEnabled": true, + "max_tokens": 256, + "parameter": "Precise", + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "RewriteQuestion", + "name": "Refine Question" + }, + "dragging": false, + "height": 86, + "id": "RewriteQuestion:OrangeBottlesSwim", + "position": { + "x": -926.3250837910092, + "y": -156.41315582042822 + }, + "positionAbsolute": { + "x": -926.3250837910092, + "y": -156.41315582042822 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "rewriteNode", + "width": 200 + }, + { + "data": { + "form": { + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "parameter": "Precise", + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_n": 2, + "top_p": 0.3 + }, + "label": "KeywordExtract", + "name": "Get keywords" + }, + "dragging": false, + "height": 86, + "id": "KeywordExtract:BeigeTipsStand", + "position": { + "x": -643.95039088561, + "y": -160.37167955274685 + }, + "positionAbsolute": { + "x": -643.95039088561, + "y": -160.37167955274685 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "keywordNode", + "width": 200 + }, + { + "data": { + "form": { + "empty_response": "The answer you want was not found in the knowledge base!", + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "similarity_threshold": 0.2, + "top_n": 8 + }, + "label": "Retrieval", + "name": "Search KB" + }, + "dragging": false, + "height": 46, + "id": "Retrieval:SilentCamelsStick", + "position": { + "x": -641.3113750640641, + "y": -4.669746081545384 + }, + "positionAbsolute": { + "x": -641.3113750640641, + "y": -4.669746081545384 + }, + "selected": true, + "sourcePosition": "right", + "targetPosition": "left", + "type": "retrievalNode", + "width": 200 + }, + { + "data": { + "form": { + "cite": true, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 12, + "parameter": "Precise", + "parameters": [ + { + "component_id": "Retrieval:SilentCamelsStick", + "id": "2a7a72d0-29da-4cfc-8745-57d5ee2251c3", + "key": "kb_input" + }, + { + "component_id": "DuckDuckGo:SoftButtonsRefuse", + "id": "5f7239b7-aa50-431d-a8b7-871cf355b3ca", + "key": "duckduckgo" + }, + { + "component_id": "Wikipedia:WittyRiceLearn", + "id": "e6f8b466-d857-482b-b068-e5dcc593ee79", + "key": "wikipedia" + }, + { + "component_id": "Baidu:OliveAreasCall", + "id": "d0e07768-bdad-4eee-beff-93a68ec83dd2", + "key": "baidu" + } + ], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You are an intelligent assistant. \nTask: Chat with user. Answer the question based on the provided content from: Knowledge Base, Wikipedia, Duckduckgo, Baidu.\nRequirements:\n - Answer should be in markdown format.\n - Answer should include all sources(Knowledge Base, Wikipedia, Duckduckgo, Baidu) as long as they are relevant, and label the sources of the cited content separately.\n - Attach URL links to the content which is quoted from Wikipedia, DuckDuckGo or Baidu.\n - Do not make thing up when there's no relevant information to user's question. \n\n## Knowledge base content\n {kb_input}\n\n\n## Wikipedia content\n{wikipedia}\n\n\n## Duckduckgo content\n{duckduckgo}\n\n\n## Baidu content\n{baidu}", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "LLM" + }, + "dragging": false, + "height": 254, + "id": "Generate:GreatCarrotsDecide", + "position": { + "x": -633.3943275994267, + "y": 141.79563201424583 + }, + "positionAbsolute": { + "x": -633.3943275994267, + "y": 141.79563201424583 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 + }, + { + "data": { + "form": { + "text": "The large model answers the user's query based on the content retrieved from different search engines and knowledge bases, returning an answer to the user's question." + }, + "label": "Note", + "name": "N: LLM" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 144, + "id": "Note:CuteSchoolsWear", + "position": { + "x": -628.5256394373041, + "y": 412.60472782016245 + }, + "positionAbsolute": { + "x": -628.5256394373041, + "y": 412.60472782016245 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 144, + "width": 443 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 443 + }, + { + "data": { + "form": { + "text": "Complete questions by conversation history.\nUser: What's RAGFlow?\nAssistant: RAGFlow is xxx.\nUser: How to deloy it?\n\nRefine it: How to deploy RAGFlow?" + }, + "label": "Note", + "name": "N: Refine question" + }, + "dragging": false, + "height": 209, + "id": "Note:CuteRavensBehave", + "position": { + "x": -921.2271023677847, + "y": -381.3182401779728 + }, + "positionAbsolute": { + "x": -921.2271023677847, + "y": -381.3182401779728 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 209, + "width": 266 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 266, + "dragHandle": ".note-drag-handle" + }, + { + "data": { + "form": { + "text": "Based on the user's question, searches the knowledge base and returns the retrieved content." + }, + "label": "Note", + "name": "N: Search KB" + }, + "dragging": false, + "height": 128, + "id": "Note:RudeRulesLeave", + "position": { + "x": -917.896611693436, + "y": -3.570404025438563 + }, + "positionAbsolute": { + "x": -917.896611693436, + "y": -3.570404025438563 + }, + 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"Note:HonestShirtsNail", + "position": { + "x": 43.964372149616565, + "y": -151.26282396084338 + }, + "positionAbsolute": { + "x": 43.964372149616565, + "y": -151.26282396084338 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode", + "width": 269, + "dragHandle": ".note-drag-handle" + }, + { + "data": { + "form": { + "text": "Based on the keywords, searches on DuckDuckGo and returns the found content." + }, + "label": "Note", + "name": "N: DuckduckGo" + }, + "dragging": false, + "height": 145, + "id": "Note:OddBreadsFix", + "position": { + "x": -237.54626926201882, + "y": -381.56637252684175 + }, + "positionAbsolute": { + "x": -237.54626926201882, + "y": -381.56637252684175 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 145, + "width": 201 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 201, + "dragHandle": ".note-drag-handle" + }, + { + "data": { + "form": { + 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} From d133cc043b30377e4164d4233774fc2612024278 Mon Sep 17 00:00:00 2001 From: Kevin Hu Date: Mon, 28 Oct 2024 16:13:40 +0800 Subject: [PATCH 3/3] remove file size check for sdk API (#3066) ### What problem does this PR solve? ### Type of change - [ ] Bug Fix (non-breaking change which fixes an issue) - [ ] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [x] Refactoring - [ ] Performance Improvement - [ ] Other (please describe): --- api/apps/sdk/doc.py | 22 ++----------------- .../chatgpt-on-wechat/plugins/README.md | 2 +- 2 files changed, 3 insertions(+), 21 deletions(-) diff --git a/api/apps/sdk/doc.py b/api/apps/sdk/doc.py index 79164bf593..626444e7b5 100644 --- a/api/apps/sdk/doc.py +++ b/api/apps/sdk/doc.py @@ -46,14 +46,6 @@ from rag.utils.storage_factory import STORAGE_IMPL import os -MAXIMUM_OF_UPLOADING_FILES = 256 - -MAXIMUM_OF_UPLOADING_FILES = 256 - -MAXIMUM_OF_UPLOADING_FILES = 256 - -MAXIMUM_OF_UPLOADING_FILES = 256 - @manager.route('/datasets//documents', methods=['POST']) @token_required @@ -66,21 +58,11 @@ def upload(dataset_id, tenant_id): if file_obj.filename == '': return get_result( retmsg='No file selected!', retcode=RetCode.ARGUMENT_ERROR) - # total size - total_size = 0 - for file_obj in file_objs: - file_obj.seek(0, os.SEEK_END) - total_size += file_obj.tell() - file_obj.seek(0) - MAX_TOTAL_FILE_SIZE=10*1024*1024 - if total_size > MAX_TOTAL_FILE_SIZE: - return get_result( - retmsg=f'Total file size exceeds 10MB limit! ({total_size / (1024 * 1024):.2f} MB)', - retcode=RetCode.ARGUMENT_ERROR) + e, kb = KnowledgebaseService.get_by_id(dataset_id) if not e: raise LookupError(f"Can't find the dataset with ID {dataset_id}!") - err, files= FileService.upload_document(kb, file_objs, tenant_id) + err, files = FileService.upload_document(kb, file_objs, tenant_id) if err: return get_result( retmsg="\n".join(err), retcode=RetCode.SERVER_ERROR) diff --git a/intergrations/chatgpt-on-wechat/plugins/README.md b/intergrations/chatgpt-on-wechat/plugins/README.md index 0f1c47968c..c09643e108 100644 --- a/intergrations/chatgpt-on-wechat/plugins/README.md +++ b/intergrations/chatgpt-on-wechat/plugins/README.md @@ -52,6 +52,6 @@ This file must be configured to point to your RAGFlow instance, with the `ragflo Before you can use this plugin, ensure the following are in place: 1. You have installed and configured [ChatGPT-on-WeChat](https://github.com/zhayujie/chatgpt-on-wechat). -2. You have deployed and are running the [RAGFlow](https://github.com/jina-ai/ragflow) server. +2. You have deployed and are running the [RAGFlow](https://github.com/infiniflow/ragflow) server. Make sure both `config.json` files (ChatGPT-on-WeChat and RAGFlow Chat Plugin) are correctly set up as per the examples above.