From f64ae9dc3311d90bd901fbae567848f7c5f26a40 Mon Sep 17 00:00:00 2001 From: Kevin Hu Date: Sat, 8 Feb 2025 18:09:02 +0800 Subject: [PATCH] Inner prompt parameter setting. (#4806) ### What problem does this PR solve? #4764 ### Type of change - [x] New Feature (non-breaking change which adds functionality) --- agent/component/generate.py | 65 +- agent/component/template.py | 45 +- agent/templates/DB Assistant.json | 1748 +++++----- agent/templates/HR_callout_zh.json | 3022 ++++++++-------- agent/templates/customer_service.json | 1763 +++++----- agent/templates/general_chat_bot.json | 3843 ++++++++++++--------- agent/templates/interpreter.json | 1000 +++--- agent/templates/investment_advisor.json | 1192 ++++--- agent/templates/medical_consultation.json | 1153 ++++--- agent/templates/research_report.json | 1414 ++++---- agent/templates/seo_blog.json | 2601 +++++++------- agent/templates/text2sql.json | 1157 ++++--- agent/templates/websearch_assistant.json | 1676 ++++----- 13 files changed, 10744 insertions(+), 9935 deletions(-) diff --git a/agent/component/generate.py b/agent/component/generate.py index 65fe9305..01cd5722 100644 --- a/agent/component/generate.py +++ b/agent/component/generate.py @@ -69,10 +69,8 @@ class Generate(ComponentBase): component_name = "Generate" def get_dependent_components(self): - cpnts = set([para["component_id"].split("@")[0] for para in self._param.parameters \ - if para.get("component_id") \ - and para["component_id"].lower().find("answer") < 0 \ - and para["component_id"].lower().find("begin") < 0]) + inputs = self.get_input_elements() + cpnts = set([i["key"] for i in inputs[1:] if i["key"].lower().find("answer") < 0 and i["key"].lower().find("begin") < 0]) return list(cpnts) def set_cite(self, retrieval_res, answer): @@ -110,10 +108,26 @@ class Generate(ComponentBase): return res def get_input_elements(self): - if self._param.parameters: - return [{"key": "user", "name": "Input your question here:"}, *self._param.parameters] - - return [{"key": "user", "name": "Input your question here:"}] + key_set = set([]) + res = [{"key": "user", "name": "Input your question here:"}] + for r in re.finditer(r"\{([a-z]+[:@][a-z0-9_-]+)\}", self._param.prompt, flags=re.IGNORECASE): + cpn_id = r.group(1) + if cpn_id in key_set: + continue + if cpn_id.lower().find("begin@") == 0: + cpn_id, key = cpn_id.split("@") + for p in self._canvas.get_component(cpn_id)["obj"]._param.query: + if p["key"] != key: + continue + res.append({"key": r.group(1), "name": p["name"]}) + key_set.add(r.group(1)) + continue + cpn_nm = self._canvas.get_compnent_name(cpn_id) + if not cpn_nm: + continue + res.append({"key": cpn_id, "name": cpn_nm}) + key_set.add(cpn_id) + return res def _run(self, history, **kwargs): chat_mdl = LLMBundle(self._canvas.get_tenant_id(), LLMType.CHAT, self._param.llm_id) @@ -121,22 +135,20 @@ class Generate(ComponentBase): retrieval_res = [] self._param.inputs = [] - for para in self._param.parameters: - if not para.get("component_id"): - continue - component_id = para["component_id"].split("@")[0] - if para["component_id"].lower().find("@") >= 0: - cpn_id, key = para["component_id"].split("@") + for para in self.get_input_elements()[1:]: + if para["key"].lower().find("begin@") == 0: + cpn_id, key = para["key"].split("@") for p in self._canvas.get_component(cpn_id)["obj"]._param.query: if p["key"] == key: kwargs[para["key"]] = p.get("value", "") self._param.inputs.append( - {"component_id": para["component_id"], "content": kwargs[para["key"]]}) + {"component_id": para["key"], "content": kwargs[para["key"]]}) break else: assert False, f"Can't find parameter '{key}' for {cpn_id}" continue + component_id = para["key"] cpn = self._canvas.get_component(component_id)["obj"] if cpn.component_name.lower() == "answer": hist = self._canvas.get_history(1) @@ -152,8 +164,8 @@ class Generate(ComponentBase): else: if cpn.component_name.lower() == "retrieval": retrieval_res.append(out) - kwargs[para["key"]] = " - "+"\n - ".join([o if isinstance(o, str) else str(o) for o in out["content"]]) - self._param.inputs.append({"component_id": para["component_id"], "content": kwargs[para["key"]]}) + kwargs[para["key"]] = " - " + "\n - ".join([o if isinstance(o, str) else str(o) for o in out["content"]]) + self._param.inputs.append({"component_id": para["key"], "content": kwargs[para["key"]]}) if retrieval_res: retrieval_res = pd.concat(retrieval_res, ignore_index=True) @@ -175,16 +187,16 @@ class Generate(ComponentBase): return partial(self.stream_output, chat_mdl, prompt, retrieval_res) if "empty_response" in retrieval_res.columns and not "".join(retrieval_res["content"]): - res = {"content": "\n- ".join(retrieval_res["empty_response"]) if "\n- ".join( - retrieval_res["empty_response"]) else "Nothing found in knowledgebase!", "reference": []} + empty_res = "\n- ".join([str(t) for t in retrieval_res["empty_response"] if str(t)]) + res = {"content": empty_res if empty_res else "Nothing found in knowledgebase!", "reference": []} return pd.DataFrame([res]) msg = self._canvas.get_history(self._param.message_history_window_size) if len(msg) < 1: - msg.append({"role": "user", "content": ""}) + msg.append({"role": "user", "content": "Output: "}) _, msg = message_fit_in([{"role": "system", "content": prompt}, *msg], int(chat_mdl.max_length * 0.97)) if len(msg) < 2: - msg.append({"role": "user", "content": ""}) + msg.append({"role": "user", "content": "Output: "}) ans = chat_mdl.chat(msg[0]["content"], msg[1:], self._param.gen_conf()) if self._param.cite and "content_ltks" in retrieval_res.columns and "vector" in retrieval_res.columns: @@ -196,18 +208,18 @@ class Generate(ComponentBase): def stream_output(self, chat_mdl, prompt, retrieval_res): res = None if "empty_response" in retrieval_res.columns and not "".join(retrieval_res["content"]): - res = {"content": "\n- ".join(retrieval_res["empty_response"]) if "\n- ".join( - retrieval_res["empty_response"]) else "Nothing found in knowledgebase!", "reference": []} + empty_res = "\n- ".join([str(t) for t in retrieval_res["empty_response"] if str(t)]) + res = {"content": empty_res if empty_res else "Nothing found in knowledgebase!", "reference": []} yield res self.set_output(res) return msg = self._canvas.get_history(self._param.message_history_window_size) if len(msg) < 1: - msg.append({"role": "user", "content": ""}) + msg.append({"role": "user", "content": "Output: "}) _, msg = message_fit_in([{"role": "system", "content": prompt}, *msg], int(chat_mdl.max_length * 0.97)) if len(msg) < 2: - msg.append({"role": "user", "content": ""}) + msg.append({"role": "user", "content": "Output: "}) answer = "" for ans in chat_mdl.chat_streamly(msg[0]["content"], msg[1:], self._param.gen_conf()): res = {"content": ans, "reference": []} @@ -230,5 +242,6 @@ class Generate(ComponentBase): for n, v in kwargs.items(): prompt = re.sub(r"\{%s\}" % re.escape(n), str(v).replace("\\", " "), prompt) - ans = chat_mdl.chat(prompt, [{"role": "user", "content": kwargs.get("user", "")}], self._param.gen_conf()) + u = kwargs.get("user") + ans = chat_mdl.chat(prompt, [{"role": "user", "content": u if u else "Output: "}], self._param.gen_conf()) return pd.DataFrame([ans]) diff --git a/agent/component/template.py b/agent/component/template.py index f72f3a3c..244f2f04 100644 --- a/agent/component/template.py +++ b/agent/component/template.py @@ -38,27 +38,39 @@ class Template(ComponentBase): component_name = "Template" def get_dependent_components(self): - cpnts = set( - [ - para["component_id"].split("@")[0] - for para in self._param.parameters - if para.get("component_id") - and para["component_id"].lower().find("answer") < 0 - and para["component_id"].lower().find("begin") < 0 - ] - ) + inputs = self.get_input_elements() + cpnts = set([i["key"] for i in inputs if i["key"].lower().find("answer") < 0 and i["key"].lower().find("begin") < 0]) return list(cpnts) + def get_input_elements(self): + key_set = set([]) + res = [] + for r in re.finditer(r"\{([a-z]+[:@][a-z0-9_-]+)\}", self._param.content, flags=re.IGNORECASE): + cpn_id = r.group(1) + if cpn_id in key_set: + continue + if cpn_id.lower().find("begin@") == 0: + cpn_id, key = cpn_id.split("@") + for p in self._canvas.get_component(cpn_id)["obj"]._param.query: + if p["key"] != key: + continue + res.append({"key": r.group(1), "name": p["name"]}) + key_set.add(r.group(1)) + continue + cpn_nm = self._canvas.get_compnent_name(cpn_id) + if not cpn_nm: + continue + res.append({"key": cpn_id, "name": cpn_nm}) + key_set.add(cpn_id) + return res + def _run(self, history, **kwargs): content = self._param.content self._param.inputs = [] - for para in self._param.parameters: - if not para.get("component_id"): - continue - component_id = para["component_id"].split("@")[0] - if para["component_id"].lower().find("@") >= 0: - cpn_id, key = para["component_id"].split("@") + for para in self.get_input_elements(): + if para["key"].lower().find("begin@") == 0: + cpn_id, key = para["key"].split("@") for p in self._canvas.get_component(cpn_id)["obj"]._param.query: if p["key"] == key: value = p.get("value", "") @@ -68,6 +80,7 @@ class Template(ComponentBase): assert False, f"Can't find parameter '{key}' for {cpn_id}" continue + component_id = para["key"] cpn = self._canvas.get_component(component_id)["obj"] if cpn.component_name.lower() == "answer": hist = self._canvas.get_history(1) @@ -114,7 +127,7 @@ class Template(ComponentBase): def make_kwargs(self, para, kwargs, value): self._param.inputs.append( - {"component_id": para["component_id"], "content": value} + {"component_id": para["key"], "content": value} ) try: value = json.loads(value) diff --git a/agent/templates/DB Assistant.json b/agent/templates/DB Assistant.json index 1dc507dc..ed04782c 100644 --- a/agent/templates/DB Assistant.json +++ b/agent/templates/DB Assistant.json @@ -4,881 +4,883 @@ "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:SillyPartsCheer", - "Retrieval:BrownStreetsRhyme", - "Retrieval:OddSingersRefuse" - ], - "obj": { - "component_name": "Answer", - "inputs": [], - "output": {}, - "params": {} - }, - "upstream": [ - "begin", - "ExeSQL:QuietRosesRun" - ] - }, - "ExeSQL:QuietRosesRun": { - "downstream": [ - "Answer:SocialAdsWonder" - ], - "obj": { - "component_name": "ExeSQL", - "inputs": [], - "output": {}, - "params": { - "database": "", - "db_type": "mysql", - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "host": "", - "llm_id": "deepseek-chat@DeepSeek", - "loop": 3, - "maxTokensEnabled": true, - "max_tokens": 512, - "password": "", - "port": 6630, - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "query": [], - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_n": 30, - "top_p": 0.3, - "username": "root" - } - }, - "upstream": [ - "Generate:CuteSidesBuy" - ] - }, - "Generate:CuteSidesBuy": { - "downstream": [ - "ExeSQL:QuietRosesRun" - ], - "obj": { - "component_name": "Generate", - "inputs": [], - "output": {}, - "params": { - "cite": false, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 512, - "message_history_window_size": 1, - "parameters": [ - { - "component_id": "Retrieval:SillyPartsCheer", - "id": "2a77e574-a0a6-4a1a-af39-cb192f1d21f5", - "key": "ddl_input" - }, - { - "component_id": "Retrieval:OddSingersRefuse", - "id": "83941a85-0b59-408e-97e5-504964b0e090", - "key": "db_input" - }, - { - "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. 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. Do not answer with any explanations -- just the code.", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Retrieval:SillyPartsCheer", - "Retrieval:BrownStreetsRhyme", - "Retrieval:OddSingersRefuse" - ] - }, - "Retrieval:BrownStreetsRhyme": { - "downstream": [ - "Generate:CuteSidesBuy" - ], - "obj": { - "component_name": "Retrieval", - "inputs": [], - "output": {}, - "params": { - "empty_response": "Nothing found in Q->SQL!", - "kb_ids": [], - "keywords_similarity_weight": 0.3, - "query": [ - { - "component_id": "Answer:SocialAdsWonder", - "type": "reference" - } - ], - "similarity_threshold": 0.2, - "top_n": 8 - } - }, - "upstream": [ - "Answer:SocialAdsWonder" - ] - }, - "Retrieval:OddSingersRefuse": { - "downstream": [ - "Generate:CuteSidesBuy" - ], - "obj": { - "component_name": "Retrieval", - "inputs": [], - "output": {}, - "params": { - "empty_response": "Nothing found in DB-Description!", - "kb_ids": [], - "keywords_similarity_weight": 0.3, - "query": [ - { - "component_id": "Answer:SocialAdsWonder", - "type": "reference" - } - ], - "similarity_threshold": 0.2, - "top_n": 8 - } - }, - "upstream": [ - "Answer:SocialAdsWonder" - ] - }, - "Retrieval:SillyPartsCheer": { - "downstream": [ - "Generate:CuteSidesBuy" - ], - "obj": { - "component_name": "Retrieval", - "inputs": [], - "output": {}, - "params": { - "empty_response": "Nothing found in DDL!", - "kb_ids": [], - "keywords_similarity_weight": 0.1, - "query": [ - { - "component_id": "Answer:SocialAdsWonder", - "type": "reference" - } - ], - "similarity_threshold": 0.02, - "top_n": 18 - } - }, - "upstream": [ - "Answer:SocialAdsWonder" - ] - }, - "begin": { - "downstream": [ - "Answer:SocialAdsWonder" - ], - "obj": { - "component_name": "Begin", - "inputs": [], - "output": { - "content": { - "0": { - "content": "Hi! I'm your smart assistant. What can I do for you?" - } - } - }, - "params": {} - }, - "upstream": [] + "answer": [], + "components": { + "Answer:SocialAdsWonder": { + "downstream": [ + "RewriteQuestion:WildIdeasTell" + ], + "obj": { + "component_name": "Answer", + "inputs": [], + "output": {}, + "params": {} + }, + "upstream": [ + "ExeSQL:QuietRosesRun", + "begin" + ] + }, + "ExeSQL:QuietRosesRun": { + "downstream": [ + "Answer:SocialAdsWonder" + ], + "obj": { + "component_name": "ExeSQL", + "inputs": [], + "output": {}, + "params": { + "database": "", + "db_type": "mysql", + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "host": "", + "llm_id": "deepseek-chat@DeepSeek", + "loop": 3, + "maxTokensEnabled": true, + "max_tokens": 512, + "password": "", + "port": 6630, + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "query": [], + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_n": 30, + "top_p": 0.3, + "username": "root" } }, - "embed_id": "BAAI/bge-large-zh-v1.5", - "graph": { - "edges": [ - { - "id": "reactflow__edge-begin-Answer:SocialAdsWonderc", - "markerEnd": "logo", - "source": "begin", - "sourceHandle": null, - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:SocialAdsWonder", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Answer:SocialAdsWonderb-Retrieval:SillyPartsCheerc", - "markerEnd": "logo", - "source": "Answer:SocialAdsWonder", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Retrieval:SillyPartsCheer", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Answer:SocialAdsWonderb-Retrieval:BrownStreetsRhymec", - "markerEnd": "logo", - "source": "Answer:SocialAdsWonder", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Retrieval:BrownStreetsRhyme", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Answer:SocialAdsWonderb-Retrieval:OddSingersRefusec", - 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"measured": { - "height": 44, - "width": 200 - }, - "position": { - "x": -707.997699967585, - "y": 271.71609546793474 - }, - "positionAbsolute": { - "x": -707.997699967585, - "y": 271.71609546793474 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "beginNode", - "width": 200 - }, - { - "data": { - "form": {}, - "label": "Answer", - "name": "Interface" - }, - "dragging": false, - "height": 44, - "id": "Answer:SocialAdsWonder", - "measured": { - "height": 44, - "width": 200 - }, - "position": { - "x": -58.36886074370702, - "y": 272.1213623212045 - }, - "positionAbsolute": { - "x": -58.36886074370702, - "y": 272.1213623212045 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 200 - }, - { - "data": { - "form": { - "text": "The large model modifies the original SQL statement based on the error message and returns the modified SQL statement." - }, - "label": "Note", - "name": "N: Fix SQL Statement" - }, - "dragging": false, - "height": 172, - "id": "Note:SevenDancersMarry", - "measured": { - "height": 172, - "width": 228 - }, - "position": { - "x": -62.91736862436424, - "y": 93.08952291375991 - }, - "positionAbsolute": { - "x": -62.91736862436424, - "y": 93.08952291375991 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 172, - "width": 228 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 228 - }, - { - "data": { - "form": { - "cite": false, - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "maxTokensEnabled": true, - "max_tokens": 512, - "message_history_window_size": 1, - "parameter": "Precise", - "parameters": [ - { - "component_id": "Retrieval:SillyPartsCheer", - "id": "2a77e574-a0a6-4a1a-af39-cb192f1d21f5", - "key": "ddl_input" - }, - { - "component_id": "Retrieval:OddSingersRefuse", - "id": "83941a85-0b59-408e-97e5-504964b0e090", - "key": "db_input" - }, - { - "component_id": "Retrieval:BrownStreetsRhyme", - "id": "c63d0ae6-7ee2-44a2-8a95-69d03c90cb44", - "key": "sql_input" - } - ], - "presencePenaltyEnabled": true, - "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. Do not answer with any explanations -- just the code.", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "Generate SQL Statement LLM" - }, - "dragging": false, - "height": 232, - "id": "Generate:CuteSidesBuy", - "measured": { - "height": 232, - "width": 200 - }, - "position": { - "x": 191.98081287844155, - "y": -255.36496490928363 - }, - "positionAbsolute": { - "x": 191.98081287844155, - "y": -255.36496490928363 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "generateNode", - "width": 200 - }, - { - "data": { - "form": { - "empty_response": "Nothing found in DDL!", - "kb_ids": [], - "keywords_similarity_weight": 0.1, - "query": [ - { - "component_id": "Answer:SocialAdsWonder", - "type": "reference" - } - ], - "similarity_threshold": 0.02, - "top_n": 18 - }, - "label": "Retrieval", - "name": "DDL" - }, - "dragging": false, - "height": 106, - "id": "Retrieval:SillyPartsCheer", - 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I'm your smart assistant. What can I do for you?" + } + } + }, + "params": {} + }, + "upstream": [] + } + }, + "embed_id": "BAAI/bge-large-zh-v1.5", + "graph": { + "edges": [ + { + "id": "xy-edge__ExeSQL:QuietRosesRunc-Answer:SocialAdsWonderc", + "markerEnd": "logo", + "source": "ExeSQL:QuietRosesRun", + "sourceHandle": "c", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:SocialAdsWonder", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__begin-Answer:SocialAdsWonderc", + "markerEnd": "logo", + "source": "begin", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:SocialAdsWonder", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Answer:SocialAdsWonderb-RewriteQuestion:WildIdeasTellc", + "markerEnd": "logo", + "source": "Answer:SocialAdsWonder", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": 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"dragHandle": ".note-drag-handle", + "dragging": false, + "height": 143, + "id": "Note:HugeGroupsScream", + "measured": { + "height": 143, + "width": 390 + }, + "position": { + "x": 612.8793199038756, + "y": 169.1868576959871 + }, + "positionAbsolute": { + "x": 606.1206536213404, + "y": 113.09441734894426 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 131, + "width": 387 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 390 + }, + { + "data": { + "form": { + "text": "DDL(Data Definition Language).\n\nSearches for relevant 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" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 208, + "id": "Note:GreenCrewsArrive", + "measured": { + "height": 208, + "width": 467 + }, + "position": { + "x": 649.3481710005742, + "y": -87.70873445087781 + }, + "positionAbsolute": { + "x": 545.3423934788841, + "y": -166.58872868890683 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 266, + "width": 266 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 467 + }, + { + "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" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 196, + "id": "Note:EightTurtlesLike", + "measured": { + "height": 196, + "width": 341 + }, + "position": { + "x": 134.0070839275931, + "y": -345.41228234051727 + }, + "positionAbsolute": { + "x": 222.2150747084395, + "y": -445.32694170868734 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 175, + "width": 265 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 341 + }, + { + "data": { + "form": { + "text": "Executes the SQL statement in the database and returns the result.\n\nAfter configuring an accessible database, press 'Test' to ensure the accessibility.\n\nThe large model modifies the original SQL statement based on the error message and returns the modified SQL statement." + }, + "label": "Note", + "name": "N: Execute SQL" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 276, + "id": "Note:FreshKidsTalk", + "measured": { + "height": 276, + "width": 336 + }, + "position": { + "x": -304.3577648765364, + "y": -288.054469323955 + }, + "positionAbsolute": { + "x": -251.5866574377311, + "y": -372.2192837064241 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 178, + "width": 346 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 336 + }, + { + "data": { + "form": { + "database": "", + "db_type": "mysql", + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "host": "", + "llm_id": "deepseek-chat@DeepSeek", + "loop": 3, + "maxTokensEnabled": true, + "max_tokens": 512, + "password": "", + "port": 6630, + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "query": [], + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_n": 30, + "top_p": 0.3, + "username": "root" + }, + "label": "ExeSQL", + "name": "ExeSQL" + }, + "dragging": false, + "id": "ExeSQL:QuietRosesRun", + "measured": { + "height": 64, + "width": 200 + }, + "position": { + "x": -318.61920731731163, + "y": 3.5145731711609436 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode" + }, + { + "data": { + "form": { + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 6, + "parameter": "Precise", + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "RewriteQuestion", + "name": "RefineQuestion" + }, + "dragging": false, + "id": "RewriteQuestion:WildIdeasTell", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": -7.734116293705583, + "y": 236.92372325779243 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "rewriteNode" + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": false, + "max_tokens": 256, + "message_history_window_size": 1, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "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: {Retrieval:SillyPartsCheer}.\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: {Retrieval:OddSingersRefuse}.\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: {Retrieval:BrownStreetsRhyme}.\n\n##Respond with only SQL code. Do not answer with any explanations -- just the code.", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Generate SQL Statement LLM" + }, + "dragging": false, + "id": "Generate:BlueShirtsLaugh", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": 147.62383788095065, + "y": -116.47462293167156 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" + } + ] + }, + "history": [], + "messages": [], + "path": [], + "reference": [] + }, "avatar": 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" } diff --git a/agent/templates/HR_callout_zh.json b/agent/templates/HR_callout_zh.json index b8cdbb43..046ed32d 100644 --- a/agent/templates/HR_callout_zh.json +++ b/agent/templates/HR_callout_zh.json @@ -4,37 +4,799 @@ "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": { - "begin": { - "obj": { - "component_name": "Begin", - "params": { + "answer": [], + "components": { + "Answer:TwentyMugsDeny": { + "downstream": [ + "categorize:1" + ], + "obj": { + "component_name": "Answer", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "post_answers": [], + "query": [] + } + }, + "upstream": [ + "Message:MajorPigsYell", + "Generate:TruePawsReport", + "Generate:ToughLawsCheat", + "Generate:KindCarrotsSit", + "Generate:DirtyToolsTrain", + "Generate:FluffyPillowsGrow", + "Generate:ProudEarsWorry" + ] + }, + "Generate:DirtyToolsTrain": { + "downstream": [ + "Answer:TwentyMugsDeny" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "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": "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。", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "categorize:1" + ] + }, + "Generate:FluffyPillowsGrow": { + "downstream": [ + "Answer:TwentyMugsDeny" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "output": null, + "output_var_name": "output", + "parameters": [ + { + "component_id": "Retrieval:ColdEelsArrive", + "id": "5166a107-e859-4c71-99a2-3a216c775347", + "key": "jd" + } + ], + "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 {Retrieval:ColdEelsArrive}\n 职位信息如上。", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Retrieval:ColdEelsArrive" + ] + }, + "Generate:KindCarrotsSit": { + "downstream": [ + "Answer:TwentyMugsDeny" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "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": "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。", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "categorize:1" + ] + }, + "Generate:ProudEarsWorry": { + "downstream": [ + "Answer:TwentyMugsDeny" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "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": "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。", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "categorize:0" + ] + }, + "Generate:ToughLawsCheat": { + "downstream": [ + "Answer:TwentyMugsDeny" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "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": "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。", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "categorize:1" + ] + }, + "Generate:TruePawsReport": { + "downstream": [ + "Answer:TwentyMugsDeny" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "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": "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 {Retrieval:ShaggyRadiosRetire}\n 职位信息如上。", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Retrieval:ShaggyRadiosRetire" + ] + }, + "Message:MajorPigsYell": { + "downstream": [ + "Answer:TwentyMugsDeny" + ], + "obj": { + "component_name": "Message", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "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？" + ], + "output": null, + "output_var_name": "output", + "query": [] + } + }, + "upstream": [ + "categorize:0" + ] + }, + "Retrieval:ColdEelsArrive": { + "downstream": [ + "Generate:FluffyPillowsGrow" + ], + "obj": { + "component_name": "Retrieval", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "empty_response": "", + "inputs": [], + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [], + "rerank_id": "", + "similarity_threshold": 0.2, + "top_k": 1024, + "top_n": 6 + } + }, + "upstream": [ + "categorize:1" + ] + }, + "Retrieval:ShaggyRadiosRetire": { + "downstream": [ + "Generate:TruePawsReport" + ], + "obj": { + "component_name": "Retrieval", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "empty_response": "", + "inputs": [], + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [], + "rerank_id": "", + "similarity_threshold": 0.2, + "top_k": 1024, + "top_n": 6 + } + }, + "upstream": [ + "categorize:0" + ] + }, + "answer:0": { + "downstream": [ + "categorize:0" + ], + "obj": { + "component_name": "Answer", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "post_answers": [], + "query": [] + } + }, + "upstream": [ + "begin", + "message:reject" + ] + }, + "begin": { + "downstream": [ + "answer:0" + ], + "obj": { + "component_name": "Begin", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "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？", + "query": [] + } + }, + "upstream": [] + }, + "categorize:0": { + "downstream": [ + "message:reject", + "Retrieval:ShaggyRadiosRetire", + "Generate:ProudEarsWorry", + "Message:MajorPigsYell" + ], + "obj": { + "component_name": "Categorize", + "inputs": [], + "output": null, + "params": { + "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" + } + }, + "cite": true, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 512, + "message_history_window_size": 1, + "output": null, + "output_var_name": "output", + "parameters": [], + "presence_penalty": 0.4, + "prompt": "", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "answer:0" + ] + }, + "categorize:1": { + "downstream": [ + "Retrieval:ColdEelsArrive", + "Generate:ToughLawsCheat", + "Generate:KindCarrotsSit", + "Generate:DirtyToolsTrain" + ], + "obj": { + "component_name": "Categorize", + "inputs": [], + "output": null, + "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: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" + } + }, + "cite": true, + 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"targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Retrieval:ColdEelsArrivec-Generate:FluffyPillowsGrowb", + "markerEnd": "logo", + "source": "Retrieval:ColdEelsArrive", + "sourceHandle": "c", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:FluffyPillowsGrow", + "targetHandle": "b", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Generate:FluffyPillowsGrowc-Answer:TwentyMugsDenyc", + "markerEnd": "logo", + "source": "Generate:FluffyPillowsGrow", + "sourceHandle": "c", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:TwentyMugsDeny", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Generate:ProudEarsWorryb-Answer:TwentyMugsDenyc", + "markerEnd": "logo", + "source": "Generate:ProudEarsWorry", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:TwentyMugsDeny", + "targetHandle": "c", + "type": "buttonEdge" + } + ], + "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" }, - "downstream": [ - "answer:0" - ], - "upstream": [] - }, - "answer:0": { - "obj": { - "component_name": "Answer", - "params": {} + "dragging": false, + "height": 44, + "id": "begin", + "measured": { + "height": 44, + "width": 100 }, - "downstream": [ - "categorize:0" - ], - "upstream": [ - "begin", - "message:reject" - ] + "position": { + "x": -1034.5459371394727, + "y": -4.596073111491364 + }, + "positionAbsolute": { + "x": -1034.5459371394727, + "y": -4.596073111491364 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "beginNode", + "width": 100 }, - "categorize:0": { - "obj": { - "component_name": "Categorize", - "params": { + { + "data": { + "form": {}, + "label": "Answer", + "name": "交互1" + }, + "dragging": false, + "height": 44, + "id": "answer:0", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": -759.3845780310955, + "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。", @@ -57,29 +819,47 @@ "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？" }, - "downstream": [ - "message:reject", - "Retrieval:ShaggyRadiosRetire", - "Generate:ProudEarsWorry", - "Message:MajorPigsYell" - ], - "upstream": [ - "answer:0" - ] + "dragging": false, + "height": 223, + "id": "categorize:0", + "measured": { + "height": 223, + "width": 200 + }, + "position": { + "x": -511.7953063678477, + "y": -91.33627890840192 + }, + "positionAbsolute": { + "x": -511.7953063678477, + "y": -91.33627890840192 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "categorizeNode", + "width": 200 }, - "categorize:1": { - "obj": { - "component_name": "Categorize", - "params": { + { + "data": { + "form": { "category_description": { "about_job": { "description": "该问题关于职位本身或公司的信息。", @@ -102,236 +882,881 @@ "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？" }, - "downstream": [ - "Retrieval:ColdEelsArrive", - "Generate:ToughLawsCheat", - "Generate:KindCarrotsSit", - "Generate:DirtyToolsTrain" - ], - "upstream": [ - "Answer:TwentyMugsDeny" - ] + "dragging": false, + "height": 223, + "id": "categorize:1", + "measured": { + "height": 223, + "width": 200 + }, + "position": { + "x": 650.2305440350307, + "y": 54.40917808770183 + }, + "positionAbsolute": { + "x": 650.2305440350307, + "y": 54.40917808770183 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "categorizeNode", + "width": 200 }, - "message:reject": { - "obj": { - "component_name": "Message", - "params": { + { + "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" }, - "downstream": [ - "answer:0" - ], - "upstream": [ - "categorize:0" - ] - }, - "Answer:TwentyMugsDeny": { - "obj": { - "component_name": "Answer", - "params": {} + "dragging": false, + "height": 44, + "id": "message:reject", + "measured": { + "height": 44, + "width": 200 }, - "downstream": [ - "categorize:1" - ], - "upstream": [ - "Message:MajorPigsYell", - "Generate:TruePawsReport", - "Generate:ToughLawsCheat", - "Generate:KindCarrotsSit", - "Generate:DirtyToolsTrain", - "Generate:FluffyPillowsGrow", - "Generate:ProudEarsWorry" - ] + "position": { + "x": -531.5363370421936, + "y": 169.8364292609376 + }, + "positionAbsolute": { + "x": -506.16645843250325, + "y": 197.6224867858366 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "logicNode", + "width": 200 }, - "Retrieval:ShaggyRadiosRetire": { - "obj": { - "component_name": "Retrieval", - "params": { + { + "data": { + "form": {}, + "label": "Answer", + "name": "交互2" + }, + "dragging": false, + "height": 44, + "id": "Answer:TwentyMugsDeny", + "measured": { + "height": 44, + "width": 200 + }, + "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" }, - "downstream": [ - "Generate:TruePawsReport" - ], - "upstream": [ - "categorize:0" - ] + "dragging": false, + "height": 44, + "id": "Retrieval:ShaggyRadiosRetire", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": -200.47207828507428, + "y": -241.8885484926048 + }, + "positionAbsolute": { + "x": -200.47207828507428, + "y": -241.8885484926048 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "retrievalNode", + "width": 200 }, - "Generate:TruePawsReport": { - "obj": { - "component_name": "Generate", - "params": { + { + "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": "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。", + "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 {Retrieval:ShaggyRadiosRetire}\n 职位信息如上。", "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, "top_p": 0.3 - } + }, + "label": "Generate", + "name": "回答职位信息并加微信" }, - "downstream": [ - "Answer:TwentyMugsDeny" - ], - "upstream": [ - "Retrieval:ShaggyRadiosRetire" - ] + "dragging": false, + "height": 86, + "id": "Generate:TruePawsReport", + "measured": { + "height": 86, + "width": 200 + }, + "position": { + "x": 85.46499814334565, + "y": -84.90136892177973 + }, + "positionAbsolute": { + "x": 114.45914512584898, + "y": -243.16108786794368 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 }, - "Generate:ProudEarsWorry": { - "obj": { - "component_name": "Generate", - "params": { + { + "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": "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, + "temperatureEnabled": true, + "topPEnabled": true, "top_p": 0.3 - } + }, + "label": "Generate", + "name": "闲聊" }, - "downstream": [ - "Answer:TwentyMugsDeny" - ], - "upstream": [ - "categorize:0" - ] + "dragging": false, + "height": 86, + "id": "Generate:ProudEarsWorry", + "measured": { + "height": 86, + "width": 200 + }, + "position": { + "x": -201.4798710337693, + "y": 19.284469688181446 + }, + "positionAbsolute": { + "x": -201.4798710337693, + "y": 19.284469688181446 + }, + "selected": true, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 }, - "Message:MajorPigsYell": { - "obj": { - "component_name": "Message", - "params": { + { + "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" }, - "downstream": [ - "Answer:TwentyMugsDeny" - ], - "upstream": [ - "categorize:0" - ] + "dragging": false, + "height": 82, + "id": "Message:MajorPigsYell", + "measured": { + "height": 82, + "width": 200 + }, + "position": { + "x": -201.4757352153133, + "y": 142.14338727751849 + }, + "positionAbsolute": { + "x": -202.68382467291758, + "y": 127.64631378626683 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "messageNode", + "width": 200 }, - "Generate:ToughLawsCheat": { - "obj": { - "component_name": "Generate", - "params": { + { + "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": "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, + "temperatureEnabled": true, + "topPEnabled": true, "top_p": 0.3 - } + }, + "label": "Generate", + "name": "闲聊(1)" }, - "downstream": [ - "Answer:TwentyMugsDeny" - ], - "upstream": [ - "categorize:1" - ] + "dragging": false, + "height": 86, + "id": "Generate:ToughLawsCheat", + "measured": { + "height": 86, + "width": 200 + }, + "position": { + "x": 717.0666295332912, + "y": -260.4610326390065 + }, + "positionAbsolute": { + "x": 719.4828084484998, + "y": -241.13160131733764 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 }, - "Retrieval:ColdEelsArrive": { - "obj": { - "component_name": "Retrieval", - "params": { + { + "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(1)" }, - "downstream": [ - "Generate:FluffyPillowsGrow" - ], - "upstream": [ - "categorize:1" - ] + "dragging": false, + "height": 44, + "id": "Retrieval:ColdEelsArrive", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": 679.4658067127144, + "y": -15.040383599249951 + }, + "positionAbsolute": { + "x": 681.881985627923, + "y": -7.791846853624122 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "retrievalNode", + "width": 200 }, - "Generate:KindCarrotsSit": { - "obj": { - "component_name": "Generate", - "params": { + { + "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": "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, + "temperatureEnabled": true, + "topPEnabled": true, "top_p": 0.3 - } + }, + "label": "Generate", + "name": "加微信" }, - "downstream": [ - "Answer:TwentyMugsDeny" - ], - "upstream": [ - "categorize:1" - ] + "dragging": false, + "height": 86, + "id": "Generate:KindCarrotsSit", + "measured": { + "height": 86, + "width": 200 + }, + "position": { + "x": 679.5187009685263, + "y": 298.0100840992407 + }, + "positionAbsolute": { + "x": 679.5187009685263, + "y": 298.0100840992407 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 }, - "Generate:DirtyToolsTrain": { - "obj": { - "component_name": "Generate", - "params": { + { + "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": "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, + "temperatureEnabled": true, + "topPEnabled": true, "top_p": 0.3 - } + }, + "label": "Generate", + "name": "不同意加微信后引导" }, - "downstream": [ - "Answer:TwentyMugsDeny" - ], - "upstream": [ - "categorize:1" - ] + "dragging": false, + "height": 86, + "id": "Generate:DirtyToolsTrain", + "measured": { + "height": 86, + "width": 200 + }, + "position": { + "x": 713.3958582226193, + "y": 412.69665533104524 + }, + "positionAbsolute": { + "x": 730.3091106290796, + "y": 400.61576075500216 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 }, - "Generate:FluffyPillowsGrow": { - "obj": { - "component_name": "Generate", - "params": { + { + "data": { + "form": { + "text": "接收用户第一次输入，或在判断后输出静态消息。" + }, + "label": "Note", + "name": "N: 交互1" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:SharpWingsGrab", + "measured": { + "height": 128, + "width": 190 + }, + "position": { + "x": -762.470214040517, + "y": -135.06311183543562 + }, + "positionAbsolute": { + "x": -785.4239137349989, + "y": -137.47929075064422 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 190 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 190 + }, + { + "data": { + "form": { + "text": "大模型判断用户的输入属于哪一种分类，传给不同的组件。" + }, + "label": "Note", + "name": "N:是否感兴趣" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:ThickOrangesMelt", + "measured": { + "height": 128, + "width": 198 + }, + "position": { + "x": -514.737951592251, + "y": -232.7753166367196 + }, + "positionAbsolute": { + "x": -514.737951592251, + "y": -232.7753166367196 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 198 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 198 + }, + { + "data": { + "form": { + "text": "接收用户对职位不感兴趣的相关输入，随机返回一条静态消息。" + }, + "label": "Note", + "name": "N: 再会" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:FineDaysCheat", + "measured": { + "height": 128, + "width": 203 + }, + "position": { + "x": -530.3000123190136, + "y": 248.91808187570632 + }, + "positionAbsolute": { + "x": -503.7220442517189, + "y": 256.16661862133213 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 203 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 203 + }, + { + "data": { + "form": { + "text": "接收用户对职位感兴趣的相关输入，返回其中的静态消息。" + }, + "label": "Note", + "name": "N:职位简介" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:WeakTaxesBegin", + "measured": { + "height": 128, + "width": 208 + }, + "position": { + "x": -197.5153373041337, + "y": 261.2072463084719 + }, + "positionAbsolute": { + "x": -203.55578459215516, + "y": 261.2072463084719 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 208 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 208 + }, + { + "data": { + "form": { + "text": "接收用户闲聊，根据闲聊内容，大模型返回相应的回答。" + }, + "label": "Note", + "name": "N: 闲聊" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:FourCornersHelp", + "measured": { + "height": 128, + "width": 213 + }, + "position": { + "x": -195.26410221591698, + "y": -125.75023229737762 + }, + "positionAbsolute": { + "x": -195.26410221591698, + "y": -125.75023229737762 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 213 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 213 + }, + { + "data": { + "form": { + "text": "接收用户对于职位或者公司的问题，检索知识库，返回检索到的内容。" + }, + "label": "Note", + "name": "N: 搜索职位信息" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:FortyTiresDance", + "measured": { + "height": 128, + "width": 197 + }, + "position": { + "x": -199.51694815612117, + "y": -382.54628777242647 + }, + "positionAbsolute": { + "x": -199.51694815612117, + "y": -382.54628777242647 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 197 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 197 + }, + { + "data": { + "form": { + "text": "大模型根据检索到的职位信息，回答用户的输入并请求加微信。" + }, + "label": "Note", + "name": "N: 回答职位信息" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:SixMasksTie", + "measured": { + "height": 128, + "width": 205 + }, + "position": { + "x": 81.31654079972914, + "y": -230.7938043878787 + }, + "positionAbsolute": { + "x": 113.93495615504537, + "y": -379.38880767320825 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 205 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 205 + }, + { + "data": { + "form": { + "text": "在第一轮的交互完成后，在确定用户的意愿基础上，继续后续的交流。" + }, + "label": "Note", + "name": "N: 交互2" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 132, + "id": "Note:HipAnimalsLose", + "measured": { + "height": 132, + "width": 200 + }, + "position": { + "x": 361.5573430860398, + "y": 202.76501272911685 + }, + "positionAbsolute": { + "x": 361.5573430860398, + "y": 202.76501272911685 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 132, + "width": 200 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 200 + }, + { + "data": { + "form": { + "text": "接收用户不愿意加微信的请求，大模型生成回答，回答与礼貌用语和引导用户加微信相关。" + }, + "label": "Note", + "name": "N: 不同意加微信后" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 144, + "id": "Note:CalmClownsOpen", + "measured": { + "height": 144, + "width": 200 + }, + "position": { + "x": 724.3625736109275, + "y": 527.6312716948657 + }, + "positionAbsolute": { + "x": 729.1949314413447, + "y": 498.6371247123624 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 144, + "width": 200 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 200 + }, + { + "data": { + "form": { + "text": "接收用户加微信的请求或微信号的信息。如果是加微信请求，则大模型返回询问微信的回答；如果是微信号的信息，则大模型返回礼貌性的回答。" + }, + "label": "Note", + "name": "N: 加微信" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 149, + "id": "Note:EightSuitsAdmire", + "measured": { + "height": 149, + "width": 481 + }, + "position": { + "x": 1118.6632741834096, + "y": 300.1313513476347 + }, + "positionAbsolute": { + "x": 1118.6632741834096, + "y": 300.1313513476347 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 149, + "width": 481 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 481 + }, + { + "data": { + "form": { + "text": "大模型判断用户的输入属于哪一种分类，传给不同的组件。" + }, + "label": "Note", + "name": "N：可以加微信？" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:SillyPillowsCrash", + "measured": { + "height": 128, + "width": 267 + }, + "position": { + "x": 1006.2146104300559, + "y": 61.99026665969035 + }, + "positionAbsolute": { + "x": 1006.2146104300559, + "y": 61.99026665969035 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 267 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 267 + }, + { + "data": { + "form": { + "text": "接收用户对于职位或者公司的问题，检索知识库，返回检索到的内容。" + }, + "label": "Note", + "name": "N: 搜索职位信息(1)" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:PurplePathsHeal", + "measured": { + "height": 128, + "width": 269 + }, + "position": { + "x": 679.0610551820539, + "y": -146.81167586458758 + }, + "positionAbsolute": { + "x": 679.0610551820539, + "y": -146.81167586458758 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode", + "width": 269 + }, + { + "data": { + "form": { + "text": "接收用户闲聊，根据闲聊内容，大模型返回相应的回答。" + }, + "label": "Note", + "name": "N：闲聊(1)" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 129, + "id": "Note:VastHumansAttend", + "measured": { + "height": 129, + "width": 200 + }, + "position": { + "x": 713.2672727035068, + "y": -403.49170163825374 + }, + "positionAbsolute": { + "x": 719.3077199915283, + "y": -382.2721004750209 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 129, + "width": 200 + }, + "targetPosition": "left", + "type": "noteNode", + "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": [ { "component_id": "Retrieval:ColdEelsArrive", @@ -339,1231 +1764,44 @@ "key": "jd" } ], + "presencePenaltyEnabled": true, "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。", + "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 {Retrieval:ColdEelsArrive}\n 职位信息如上。", "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, "top_p": 0.3 - } + }, + "label": "Generate", + "name": "回答职位信息并加微信（1）" }, - "downstream": [ - "Answer:TwentyMugsDeny" - ], - "upstream": [ - "Retrieval:ColdEelsArrive" - ] + "dragging": false, + "height": 128, + "id": "Generate:FluffyPillowsGrow", + "measured": { + "height": 128, + "width": 200 + }, + "position": { + "x": 411.4591451258489, + "y": -7.161087867943763 + }, + "positionAbsolute": { + "x": 411.4591451258489, + "y": -7.161087867943763 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 } - }, - "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, - "message_history_window_size": 12, - "parameter": "Precise", - "parameters": [], - "presencePenaltyEnabled": true, - "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, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "回答职位信息并加微信" - }, - "dragging": false, - "height": 86, - "id": "Generate:TruePawsReport", - "position": { - "x": 114.45914512584898, - "y": -243.16108786794368 - }, - "positionAbsolute": { - "x": 114.45914512584898, - "y": -243.16108786794368 - }, - "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": "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, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "闲聊" - }, - "dragging": false, - "height": 86, - "id": "Generate:ProudEarsWorry", - "position": { - "x": -201.4798710337693, - "y": 19.284469688181446 - }, - "positionAbsolute": { - "x": -201.4798710337693, - "y": 19.284469688181446 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "generateNode", - "width": 200 - }, - { - "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": 82, - "id": "Message:MajorPigsYell", - "position": { - "x": -202.68382467291758, - "y": 127.64631378626683 - }, - "positionAbsolute": { - "x": -202.68382467291758, - "y": 127.64631378626683 - }, - "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": "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, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "闲聊(1)" - }, - "dragging": false, - "height": 86, - "id": "Generate:ToughLawsCheat", - "position": { - "x": 719.4828084484998, - "y": -241.13160131733764 - }, - "positionAbsolute": { - "x": 719.4828084484998, - "y": -241.13160131733764 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "generateNode", - "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(1)" - }, - "dragging": false, - "height": 44, - "id": "Retrieval:ColdEelsArrive", - "position": { - "x": 681.881985627923, - "y": -7.791846853624122 - }, - "positionAbsolute": { - "x": 681.881985627923, - "y": -7.791846853624122 - }, - "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, - "message_history_window_size": 12, - "parameter": "Precise", - "parameters": [], - "presencePenaltyEnabled": true, - "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, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "加微信" - }, - "dragging": false, - "height": 86, - "id": "Generate:KindCarrotsSit", - "position": { - "x": 679.5187009685263, - "y": 298.0100840992407 - }, - "positionAbsolute": { - "x": 679.5187009685263, - "y": 298.0100840992407 - }, - "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", - 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".note-drag-handle", - "dragging": false, - "height": 128, - "id": "Note:SharpWingsGrab", - "position": { - "x": -785.4239137349989, - "y": -137.47929075064422 - }, - "positionAbsolute": { - "x": -785.4239137349989, - "y": -137.47929075064422 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 128, - "width": 190 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 190 - }, - { - "data": { - "form": { - "text": "大模型判断用户的输入属于哪一种分类，传给不同的组件。" - }, - "label": "Note", - "name": "N:是否感兴趣" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 128, - "id": "Note:ThickOrangesMelt", - "position": { - "x": -514.737951592251, - "y": -232.7753166367196 - }, - "positionAbsolute": { - "x": -514.737951592251, - "y": -232.7753166367196 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 128, - "width": 198 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 198 - }, - { - "data": { - "form": { - "text": "接收用户对职位不感兴趣的相关输入，随机返回一条静态消息。" - }, - "label": "Note", - "name": "N: 再会" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 128, - "id": "Note:FineDaysCheat", - "position": { - "x": -503.7220442517189, - "y": 256.16661862133213 - }, - "positionAbsolute": { - "x": -503.7220442517189, - "y": 256.16661862133213 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 128, - "width": 203 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 203 - }, - { - "data": { - "form": { - "text": "接收用户对职位感兴趣的相关输入，返回其中的静态消息。" - }, - "label": "Note", - "name": "N:职位简介" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 128, - "id": "Note:WeakTaxesBegin", - "position": { - "x": -203.55578459215516, - "y": 261.2072463084719 - }, - "positionAbsolute": { - "x": -203.55578459215516, - "y": 261.2072463084719 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 128, - "width": 208 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 208 - }, - { - "data": { - "form": { - "text": "接收用户闲聊，根据闲聊内容，大模型返回相应的回答。" - }, - "label": "Note", - "name": "N: 闲聊" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 128, - "id": "Note:FourCornersHelp", - "position": { - "x": -195.26410221591698, - "y": -125.75023229737762 - }, - "positionAbsolute": { - "x": -195.26410221591698, - "y": -125.75023229737762 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 128, - "width": 213 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 213 - }, - { - "data": { - "form": { - "text": "接收用户对于职位或者公司的问题，检索知识库，返回检索到的内容。" - }, - "label": "Note", - "name": "N: 搜索职位信息" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 128, - "id": "Note:FortyTiresDance", - "position": { - "x": -199.51694815612117, - "y": -382.54628777242647 - }, - "positionAbsolute": { - "x": -199.51694815612117, - "y": -382.54628777242647 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 128, - "width": 197 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 197 - }, - { - "data": { - "form": { - "text": "大模型根据检索到的职位信息，回答用户的输入并请求加微信。" - }, - "label": "Note", - "name": "N: 回答职位信息" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 128, - "id": "Note:SixMasksTie", - "position": { - "x": 113.93495615504537, - "y": -379.38880767320825 - }, - "positionAbsolute": { - "x": 113.93495615504537, - "y": -379.38880767320825 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 128, - "width": 205 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 205 - }, - { - "data": { - "form": { - "text": "在第一轮的交互完成后，在确定用户的意愿基础上，继续后续的交流。" - }, - "label": "Note", - "name": "N: 交互2" - }, - 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"noteNode", - "width": 200 - }, - { - "data": { - "form": { - "text": "接收用户加微信的请求或微信号的信息。如果是加微信请求，则大模型返回询问微信的回答；如果是微信号的信息，则大模型返回礼貌性的回答。" - }, - "label": "Note", - "name": "N: 加微信" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 149, - "id": "Note:EightSuitsAdmire", - "position": { - "x": 1118.6632741834096, - "y": 300.1313513476347 - }, - "positionAbsolute": { - "x": 1118.6632741834096, - "y": 300.1313513476347 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 149, - "width": 481 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 481 - }, - { - "data": { - "form": { - "text": "大模型判断用户的输入属于哪一种分类，传给不同的组件。" - }, - "label": "Note", - "name": "N：可以加微信？" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 128, - "id": "Note:SillyPillowsCrash", - "position": { - "x": 1006.2146104300559, - "y": 61.99026665969035 - }, - "positionAbsolute": { - "x": 1006.2146104300559, - "y": 61.99026665969035 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 128, - "width": 267 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 267 - }, - { - "data": { - "form": { - "text": "接收用户对于职位或者公司的问题，检索知识库，返回检索到的内容。" - }, - "label": "Note", - "name": "N: 搜索职位信息(1)" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 128, - "id": "Note:PurplePathsHeal", - "position": { - "x": 679.0610551820539, - "y": -146.81167586458758 - }, - "positionAbsolute": { - "x": 679.0610551820539, - "y": -146.81167586458758 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "noteNode", - "width": 269 - }, - { - "data": { - "form": { - "text": "接收用户闲聊，根据闲聊内容，大模型返回相应的回答。" - }, - "label": "Note", - "name": "N：闲聊(1)" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 129, - "id": "Note:VastHumansAttend", - "position": { - "x": 719.3077199915283, - "y": -382.2721004750209 - }, - "positionAbsolute": { - "x": 719.3077199915283, - "y": -382.2721004750209 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 129, - "width": 200 - }, - "targetPosition": "left", - "type": "noteNode", - "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": [ - { - "component_id": "Retrieval:ColdEelsArrive", - "id": "5166a107-e859-4c71-99a2-3a216c775347", - "key": "jd" - } - ], - "presencePenaltyEnabled": true, - "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, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "回答职位信息并加微信" - }, - "dragging": false, - "height": 128, - "id": "Generate:FluffyPillowsGrow", - "position": { - "x": 411.4591451258489, - "y": -7.161087867943763 - }, - "positionAbsolute": { - "x": 411.4591451258489, - "y": -7.161087867943763 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "generateNode", - "width": 200 - } - ], - "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": "reactflow__edge-answer:0b-categorize:0a", - "source": "answer:0", - "sourceHandle": "b", - "target": "categorize:0", - "targetHandle": "a", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Answer:TwentyMugsDenyb-categorize:1a", - "markerEnd": "logo", - "source": "Answer:TwentyMugsDeny", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "categorize:1", - "targetHandle": "a", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Retrieval:ShaggyRadiosRetireb-Generate:TruePawsReportc", - "markerEnd": "logo", - "source": "Retrieval:ShaggyRadiosRetire", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:TruePawsReport", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-categorize:0reject-message:rejectb", - "markerEnd": "logo", - "source": "categorize:0", - "sourceHandle": "reject", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "message:reject", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-categorize:0answer-Retrieval:ShaggyRadiosRetirec", - "markerEnd": "logo", - "source": "categorize:0", - "sourceHandle": "answer", - "style": { - "stroke": "rgb(202 197 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"Message:MajorPigsYell", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:TruePawsReportb-Answer:TwentyMugsDenyc", - "markerEnd": "logo", - "source": "Generate:TruePawsReport", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:TwentyMugsDeny", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-categorize:1about_job-Retrieval:ColdEelsArriveb", - "markerEnd": "logo", - "source": "categorize:1", - "sourceHandle": "about_job", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Retrieval:ColdEelsArrive", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-categorize:1casual-Generate:ToughLawsCheatb", - "markerEnd": "logo", - "source": "categorize:1", - "sourceHandle": "casual", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:ToughLawsCheat", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-categorize:1wechat-Generate:KindCarrotsSitb", - "markerEnd": "logo", - "source": "categorize:1", - "sourceHandle": "wechat", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:KindCarrotsSit", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-categorize:1giveup-Generate:DirtyToolsTrainb", - "markerEnd": "logo", - "source": "categorize:1", - "sourceHandle": "giveup", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:DirtyToolsTrain", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:ToughLawsCheatc-Answer:TwentyMugsDenyc", - "markerEnd": "logo", - "source": "Generate:ToughLawsCheat", - "sourceHandle": "c", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:TwentyMugsDeny", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": 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" } diff --git a/agent/templates/customer_service.json b/agent/templates/customer_service.json index edc9931c..65b89be3 100644 --- a/agent/templates/customer_service.json +++ b/agent/templates/customer_service.json @@ -4,50 +4,527 @@ "description": "A customer service chatbot that explains product specifications, addresses customer queries, and alleviates negative emotions.", "canvas_type": "chatbot", "dsl": { - "answer": [], - "components": { - "begin": { - "obj": { - "component_name": "Begin", - "params": { + "answer": [], + "components": { + "Categorize:EightyWavesEnd": { + "downstream": [ + "Generate:FullBeersSit", + "Message:GoodBugsTurn", + "Retrieval:WholeStarsDrive", + "Generate:EasyWaysBeg" + ], + "obj": { + "component_name": "Categorize", + "inputs": [], + "output": null, + "params": { + "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\n13212123432\n8379829", + "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:EasyWaysBeg" + }, + "3. complain": { + "description": "Complain even curse about the product or service you provide. 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" } diff --git a/agent/templates/general_chat_bot.json b/agent/templates/general_chat_bot.json index 331782fa..3079b217 100644 --- a/agent/templates/general_chat_bot.json +++ b/agent/templates/general_chat_bot.json @@ -4,65 +4,1276 @@ "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": { - "begin": { - "obj": { - "component_name": "Begin", - "params": { + "answer": [], + "components": { + "AkShare:CalmHotelsKnow": { + "downstream": [ + "Generate:RealFansObey" + ], + "obj": { + "component_name": "AkShare", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [ + { + "component_id": "KeywordExtract:FineApesSmash", + "type": "reference" + } + ], + "top_n": 10 + } + }, + "upstream": [ + "KeywordExtract:FineApesSmash" + ] + }, + "Answer:FlatGhostsCheat": { + "downstream": [ + "RewriteQuestion:WholeOwlsTurn" + ], + "obj": { + "component_name": "Answer", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "post_answers": [], + "query": [] + } + }, + "upstream": [ + "Generate:FiveDragonsLay", + "Generate:FunnyHandsTickle", + "Generate:LazyClubsAttack", + "Generate:RealFansObey", + "Generate:KhakiCrabsGlow" + ] + }, + "Baidu:CleanJarsMake": { + "downstream": [ + "Generate:FunnyHandsTickle" + ], + "obj": { + "component_name": "Baidu", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [ + { + "component_id": "KeywordExtract:PurpleApplesKnow", + "type": "reference" + } + ], + "top_n": 10 + } + }, + "upstream": [ + "KeywordExtract:PurpleApplesKnow" + ] + }, + "Categorize:KhakiTimesSmile": { + "downstream": [ + "QWeather:DeepKiwisTeach", + "Concentrator:TrueGeckosSlide", + "Concentrator:DryTrainsSearch", + "KeywordExtract:PurpleApplesKnow", + "Generate:FiveDragonsLay" + ], + "obj": { + "component_name": "Categorize", + "inputs": [], + "output": null, + "params": { + "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 finance/economic information, stock market, economic news.", + "examples": "Stocks have MACD buy signals？\nWhen is the next interest rate cut by the Federal Reserve?\n", + "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?\nWhat a bad day!\nTerrible day.\nHow are you today?", + "to": "Generate:FiveDragonsLay" + } + }, + "cite": true, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "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": "", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "RewriteQuestion:WholeOwlsTurn" + ] + }, + "Concentrator:DryTrainsSearch": { + "downstream": [ + "Generate:OddInsectsRaise", + "Generate:TenderFlowersItch" + ], + "obj": { + "component_name": "Concentrator", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [] + } + }, + "upstream": [ + "Categorize:KhakiTimesSmile" + ] + }, + "Concentrator:TrueGeckosSlide": { + "downstream": [ + "WenCai:TenParksOpen", + "KeywordExtract:FineApesSmash" + ], + "obj": { + "component_name": "Concentrator", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [] + } + }, + "upstream": [ + "Categorize:KhakiTimesSmile" + ] + }, + "DuckDuckGo:NiceSeasInvent": { + "downstream": [ + "Generate:FunnyHandsTickle" + ], + "obj": { + "component_name": "DuckDuckGo", + "inputs": [], + "output": null, + "params": { + "channel": "text", + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [ + { + "component_id": "KeywordExtract:PurpleApplesKnow", + "type": "reference" + } + ], + "top_n": 10 + } + }, + "upstream": [ + "KeywordExtract:PurpleApplesKnow" + ] + }, + "Generate:FiveDragonsLay": { + "downstream": [ + "Answer:FlatGhostsCheat" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "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 friend happy.\n", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Categorize:KhakiTimesSmile" + ] + }, + "Generate:FunnyHandsTickle": { + "downstream": [ + "Answer:FlatGhostsCheat" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": true, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "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 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## Wikipedia content\n{Wikipedia:ThinLampsTravel}\n\n\n## Duckduckgo content\n{DuckDuckGo:NiceSeasInvent}\n\n\n## Baidu content\n{Baidu:CleanJarsMake}\n\n", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "DuckDuckGo:NiceSeasInvent", + "Baidu:CleanJarsMake", + "Wikipedia:ThinLampsTravel" + ] + }, + "Generate:KhakiCrabsGlow": { + "downstream": [ + "Answer:FlatGhostsCheat" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 0, + "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- 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 weather information:\n{QWeather:DeepKiwisTeach}\n\n\n", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "QWeather:DeepKiwisTeach" + ] + }, + "Generate:LazyClubsAttack": { + "downstream": [ + "Answer:FlatGhostsCheat" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": true, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "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 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 as following:\n{Retrieval:LemonGeckosHear}\n\nPubMed content provided\n{PubMed:EasyQueensLose}\n\n\n\n", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Retrieval:LemonGeckosHear", + "PubMed:EasyQueensLose" + ] + }, + "Generate:OddInsectsRaise": { + "downstream": [ + "Retrieval:LemonGeckosHear" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "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 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!", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Concentrator:DryTrainsSearch" + ] + }, + "Generate:RealFansObey": { + "downstream": [ + "Answer:FlatGhostsCheat" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": true, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "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 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:TenParksOpen}\n\n################\nContent provided by AkShare: \n{AkShare:CalmHotelsKnow}\n\n", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "WenCai:TenParksOpen", + "AkShare:CalmHotelsKnow" + ] + }, + "Generate:TenderFlowersItch": { + "downstream": [ + "PubMed:EasyQueensLose" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "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 are a professional medical consulting translation assistant\n\nTask: Translate user questions into English, 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 (Chinese): 医生，我这几天一直胸痛和气短。\nTranslation (English): Doctor, I have been suffering from chest pain and shortness of breath for the past few days.\n\nNote:\nOnly the translated content needs to be output, no other irrelevant content!", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Concentrator:DryTrainsSearch" + ] + }, + "KeywordExtract:FineApesSmash": { + "downstream": [ + "AkShare:CalmHotelsKnow" + ], + "obj": { + "component_name": "KeywordExtract", + "inputs": [], + "output": null, + "params": { + "cite": true, + "debug_inputs": [], + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "inputs": [], + "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": "", + "query": [ + { + "component_id": "answer:0", + "type": "reference" + } + ], + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_n": 2, + "top_p": 0.3 + } + }, + "upstream": [ + "Concentrator:TrueGeckosSlide" + ] + }, + "KeywordExtract:PurpleApplesKnow": { + "downstream": [ + "DuckDuckGo:NiceSeasInvent", + "Baidu:CleanJarsMake", + "Wikipedia:ThinLampsTravel" + ], + "obj": { + "component_name": "KeywordExtract", + "inputs": [], + "output": null, + "params": { + "cite": true, + "debug_inputs": [], + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "inputs": [], + "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": "", + "query": [], + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_n": 3, + "top_p": 0.3 + } + }, + "upstream": [ + "Categorize:KhakiTimesSmile" + ] + }, + "PubMed:EasyQueensLose": { + "downstream": [ + "Generate:LazyClubsAttack" + ], + "obj": { + "component_name": "PubMed", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "email": "xxx@sss.com", + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [ + { + "component_id": "Generate:TenderFlowersItch", + "type": "reference" + } + ], + "top_n": 10 + } + }, + "upstream": [ + "Generate:TenderFlowersItch" + ] + }, + "QWeather:DeepKiwisTeach": { + "downstream": [ + "Generate:KhakiCrabsGlow" + ], + "obj": { + "component_name": "QWeather", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "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" + }, + "inputs": [], + "lang": "en", + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [], + "time_period": "7d", + "type": "weather", + "user_type": "free", + "web_apikey": "947e8994bc5f488f8857d618ebac1b19" + } + }, + "upstream": [ + "Categorize:KhakiTimesSmile" + ] + }, + "Retrieval:LemonGeckosHear": { + "downstream": [ + "Generate:LazyClubsAttack" + ], + "obj": { + "component_name": "Retrieval", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "empty_response": "", + "inputs": [], + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [ + { + "component_id": "Generate:OddInsectsRaise", + "type": "reference" + } + ], + "rerank_id": "", + "similarity_threshold": 0.2, + "top_k": 1024, + "top_n": 8 + } + }, + "upstream": [ + "Generate:OddInsectsRaise" + ] + }, + "RewriteQuestion:WholeOwlsTurn": { + "downstream": [ + "Categorize:KhakiTimesSmile" + ], + "obj": { + "component_name": "RewriteQuestion", + "inputs": [], + "output": null, + "params": { + "cite": true, + "debug_inputs": [], + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 6, + "output": null, + "output_var_name": "output", + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "", + "query": [], + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + } + }, + "upstream": [ + "answer:0", + "Answer:FlatGhostsCheat" + ] + }, + "WenCai:TenParksOpen": { + "downstream": [ + "Generate:RealFansObey" + ], + "obj": { + "component_name": "WenCai", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [], + "query_type": "stock", + "top_n": 5 + } + }, + "upstream": [ + "Concentrator:TrueGeckosSlide" + ] + }, + "Wikipedia:ThinLampsTravel": { + "downstream": [ + "Generate:FunnyHandsTickle" + ], + "obj": { + "component_name": "Wikipedia", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "language": "en", + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [ + { + "component_id": "KeywordExtract:PurpleApplesKnow", + "type": "reference" + } + ], + "top_n": 10 + } + }, + "upstream": [ + "KeywordExtract:PurpleApplesKnow" + ] + }, + "answer:0": { + "downstream": [ + "RewriteQuestion:WholeOwlsTurn" + ], + "obj": { + "component_name": "Answer", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "post_answers": [], + "query": [] + } + }, + "upstream": [ + "begin" + ] + }, + "begin": { + "downstream": [ + "answer:0" + ], + "obj": { + "component_name": "Begin", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "prologue": "Hi friend! How things going?", + "query": [] + } + }, + "upstream": [] + } + }, + "embed_id": "", + "graph": { + "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": "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": { + 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"b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "KeywordExtract:FineApesSmash", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Concentrator:DryTrainsSearchb-Generate:OddInsectsRaisec", + "markerEnd": "logo", + "source": "Concentrator:DryTrainsSearch", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:OddInsectsRaise", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Concentrator:DryTrainsSearchb-Generate:TenderFlowersItchc", + "markerEnd": "logo", + "source": "Concentrator:DryTrainsSearch", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:TenderFlowersItch", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-KeywordExtract:FineApesSmashb-AkShare:CalmHotelsKnowc", + "markerEnd": "logo", + "source": "KeywordExtract:FineApesSmash", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "AkShare:CalmHotelsKnow", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Generate:TenderFlowersItchb-PubMed:EasyQueensLosec", + "markerEnd": "logo", + "source": "Generate:TenderFlowersItch", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "PubMed:EasyQueensLose", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Generate:OddInsectsRaiseb-Retrieval:LemonGeckosHearc", + "markerEnd": "logo", + "source": "Generate:OddInsectsRaise", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Retrieval:LemonGeckosHear", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Generate:FiveDragonsLayb-Answer:FlatGhostsCheatb", + "markerEnd": "logo", + "source": "Generate:FiveDragonsLay", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:FlatGhostsCheat", + "targetHandle": "b", + "type": "buttonEdge" + }, + { + "id": "xy-edge__DuckDuckGo:NiceSeasInventb-Generate:FunnyHandsTicklec", + "markerEnd": "logo", + "source": "DuckDuckGo:NiceSeasInvent", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:FunnyHandsTickle", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Baidu:CleanJarsMakeb-Generate:FunnyHandsTicklec", + "markerEnd": "logo", + "source": "Baidu:CleanJarsMake", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:FunnyHandsTickle", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Wikipedia:ThinLampsTravelb-Generate:FunnyHandsTicklec", + "markerEnd": "logo", + "source": "Wikipedia:ThinLampsTravel", + "sourceHandle": 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"Generate:KhakiCrabsGlow", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:FlatGhostsCheat", + "targetHandle": "b", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__answer:0b-RewriteQuestion:WholeOwlsTurnc", + "markerEnd": "logo", + "source": "answer:0", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "RewriteQuestion:WholeOwlsTurn", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__RewriteQuestion:WholeOwlsTurnb-Categorize:KhakiTimesSmilea", + "markerEnd": "logo", + "source": "RewriteQuestion:WholeOwlsTurn", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Categorize:KhakiTimesSmile", + "targetHandle": "a", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Answer:FlatGhostsCheatc-RewriteQuestion:WholeOwlsTurnc", + "markerEnd": "logo", + "source": "Answer:FlatGhostsCheat", + "sourceHandle": "c", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "RewriteQuestion:WholeOwlsTurn", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + } + ], + "nodes": [ + { + "data": { + "form": { "prologue": "Hi friend! How things going?" - } + }, + "label": "Begin", + "name": "Opening" }, - "downstream": [ - "answer:0" - ], - "upstream": [] - }, - "answer:0": { - "obj": { - "component_name": "Answer", - "params": {} + "dragging": false, + "height": 44, + "id": "begin", + "measured": { + "height": 44, + "width": 100 }, - "downstream": [ - "Categorize:KhakiTimesSmile" - ], - "upstream": [ - "begin" - ] + "position": { + "x": -1395.0793275834214, + "y": 245.9566071305116 + }, + "positionAbsolute": { + "x": -1128.7777718344705, + "y": 244.52466633336172 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "beginNode", + "width": 100 }, - "WenCai:TenParksOpen": { - "obj": { - "component_name": "WenCai", - "params": { + { + "data": { + "form": {}, + "label": "Answer", + "name": "Interface" + }, + "dragging": false, + "height": 44, + "id": "answer:0", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": -1108.7963549433637, + "y": 245.49487573152214 + }, + "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" }, - "downstream": [ - "Generate:ItchyFilesTake" - ], - "upstream": [ - "Concentrator:TrueGeckosSlide" - ] + "dragging": false, + "height": 44, + "id": "WenCai:TenParksOpen", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": 12.42850532999941, + "y": -19.97501336317155 + }, + "positionAbsolute": { + "x": 15.623628641957595, + "y": 18.36646638032667 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 }, - "AkShare:CalmHotelsKnow": { - "obj": { - "component_name": "AkShare", - "params": { + { + "data": { + "form": { + "query": [ + { + "component_id": "KeywordExtract:FineApesSmash", + "type": "reference" + } + ], "top_n": 10 - } + }, + "label": "AkShare", + "name": "akshare" }, - "downstream": [ - "Generate:ItchyFilesTake" - ], - "upstream": [ - "KeywordExtract:FineApesSmash" - ] + "dragging": false, + "height": 44, + "id": "AkShare:CalmHotelsKnow", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": 286.23058063345974, + "y": 77.23621771568216 + }, + "positionAbsolute": { + "x": 287.37496746240566, + "y": 95.21451122612848 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 }, - "Categorize:KhakiTimesSmile": { - "obj": { - "component_name": "Categorize", - "params": { + { + "data": { + "form": { "category_description": { "1. weather": { "description": "Question is about weather.", @@ -89,150 +1300,304 @@ "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" }, - "downstream": [ - "QWeather:DeepKiwisTeach", - "Concentrator:TrueGeckosSlide", - "Concentrator:DryTrainsSearch", - "KeywordExtract:PurpleApplesKnow", - "Generate:FiveDragonsLay" - ], - "upstream": [ - "answer:0", - "Answer:FlatGhostsCheat" - ] - }, - "Concentrator:DryTrainsSearch": { - "obj": { - "component_name": "Concentrator", - "params": {} + "dragging": false, + "height": 257, + "id": "Categorize:KhakiTimesSmile", + "measured": { + "height": 257, + "width": 200 }, - "downstream": [ - "Generate:OddInsectsRaise", - "Generate:TenderFlowersItch" - ], - "upstream": [ - "Categorize:KhakiTimesSmile" - ] - }, - "Concentrator:TrueGeckosSlide": { - "obj": { - "component_name": "Concentrator", - "params": {} + "position": { + "x": -609.8076141214767, + "y": 138.97995386409644 }, - "downstream": [ - "WenCai:TenParksOpen", - "KeywordExtract:FineApesSmash" - ], - "upstream": [ - "Categorize:KhakiTimesSmile" - ] + "positionAbsolute": { + "x": -609.8076141214767, + "y": 138.97995386409644 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "categorizeNode", + "width": 200 }, - "PubMed:EasyQueensLose": { - "obj": { - "component_name": "PubMed", - "params": { + { + "data": { + "form": {}, + "label": "Concentrator", + "name": "medical" + }, + "dragging": false, + "height": 44, + "id": "Concentrator:DryTrainsSearch", + "measured": { + "height": 44, + "width": 200 + }, + "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", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": -283.7257570286697, + "y": 39.53087026260538 + }, + "positionAbsolute": { + "x": -291.18104475657213, + "y": 104.49837760575514 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": { "email": "xxx@sss.com", + "query": [ + { + "component_id": "Generate:TenderFlowersItch", + "type": "reference" + } + ], "top_n": 10 - } + }, + "label": "PubMed", + "name": "pubmed" }, - "downstream": [ - "Generate:CuddlyWaysVisit" - ], - "upstream": [ - "Generate:TenderFlowersItch" - ] + "dragging": false, + "height": 44, + "id": "PubMed:EasyQueensLose", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": 284.0198843702174, + "y": 311.1165973927743 + }, + "positionAbsolute": { + "x": 289.34508989014773, + "y": 303.66130966487185 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 }, - "DuckDuckGo:NiceSeasInvent": { - "obj": { - "component_name": "DuckDuckGo", - "params": { + { + "data": { + "form": { "channel": "text", + "query": [ + { + "component_id": "KeywordExtract:PurpleApplesKnow", + "type": "reference" + } + ], "top_n": 10 - } + }, + "label": "DuckDuckGo", + "name": "duck" }, - "downstream": [ - "Generate:CalmWallsCheer" - ], - "upstream": [ - "KeywordExtract:PurpleApplesKnow" - ] + "dragging": false, + "height": 44, + "id": "DuckDuckGo:NiceSeasInvent", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": 7.657335234364808, + "y": 400.76450914063935 + }, + "positionAbsolute": { + "x": 7.657335234364808, + "y": 400.76450914063935 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 }, - "Baidu:CleanJarsMake": { - "obj": { - "component_name": "Baidu", - "params": { + { + "data": { + "form": { + "query": [ + { + "component_id": "KeywordExtract:PurpleApplesKnow", + "type": "reference" + } + ], "top_n": 10 - } + }, + "label": "Baidu", + "name": "baidu" }, - "downstream": [ - "Generate:CalmWallsCheer" - ], - "upstream": [ - "KeywordExtract:PurpleApplesKnow" - ] + "dragging": false, + "height": 44, + "id": "Baidu:CleanJarsMake", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": 8.171790651147376, + "y": 474.40274063759057 + }, + "positionAbsolute": { + "x": 4.976667339189191, + "y": 470.1425762216463 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 }, - "Wikipedia:ThinLampsTravel": { - "obj": { - "component_name": "Wikipedia", - "params": { + { + "data": { + "form": { "language": "en", + "query": [ + { + "component_id": "KeywordExtract:PurpleApplesKnow", + "type": "reference" + } + ], "top_n": 10 - } + }, + "label": "Wikipedia", + "name": "wikipedia" }, - "downstream": [ - "Generate:CalmWallsCheer" - ], - "upstream": [ - "KeywordExtract:PurpleApplesKnow" - ] + "dragging": false, + "height": 44, + "id": "Wikipedia:ThinLampsTravel", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": 9.052450060063862, + "y": 552.7249071032869 + }, + "positionAbsolute": { + "x": 7.415215541604823, + "y": 528.2289617116074 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 }, - "QWeather:DeepKiwisTeach": { - "obj": { - "component_name": "QWeather", - "params": { + { + "data": { + "form": { "lang": "en", "time_period": "7d", "type": "weather", "user_type": "free", "web_apikey": "947e8994bc5f488f8857d618ebac1b19" - } + }, + "label": "QWeather", + "name": "weather" }, - "downstream": [ - "Generate:SpicyChickenKneel" - ], - "upstream": [ - "Categorize:KhakiTimesSmile" - ] - }, - "Answer:FlatGhostsCheat": { - "obj": { - "component_name": "Answer", - "params": {} + "dragging": false, + "height": 44, + "id": "QWeather:DeepKiwisTeach", + "measured": { + "height": 44, + "width": 200 }, - "downstream": [ - "Categorize:KhakiTimesSmile" - ], - "upstream": [ - "Generate:CalmWallsCheer", - "Generate:CuddlyWaysVisit", - "Generate:ItchyFilesTake", - "Generate:SpicyChickenKneel", - "Generate:FiveDragonsLay" - ] + "position": { + "x": -279.9836447763803, + "y": -82.71505095397171 + }, + "positionAbsolute": { + "x": -298.10498664044485, + "y": -82.71505095397171 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 }, - "KeywordExtract:PurpleApplesKnow": { - "obj": { - "component_name": "KeywordExtract", - "params": { + { + "data": { + "form": {}, + "label": "Answer", + "name": "interact1" + }, + "dragging": false, + "height": 44, + "id": "Answer:FlatGhostsCheat", + "measured": { + "height": 44, + "width": 200 + }, + "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", @@ -246,44 +1611,78 @@ "topPEnabled": true, "top_n": 3, "top_p": 0.3 - } + }, + "label": "KeywordExtract", + "name": "websearch" }, - "downstream": [ - "DuckDuckGo:NiceSeasInvent", - "Baidu:CleanJarsMake", - "Wikipedia:ThinLampsTravel" - ], - "upstream": [ - "Categorize:KhakiTimesSmile" - ] + "dragging": false, + "height": 86, + "id": "KeywordExtract:PurpleApplesKnow", + "measured": { + "height": 86, + "width": 200 + }, + "position": { + "x": -298.5102848627008, + "y": 317.00405006716994 + }, + "positionAbsolute": { + "x": -303.2049394929516, + "y": 320.75977377137053 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "keywordNode", + "width": 200 }, - "Generate:FiveDragonsLay": { - "obj": { - "component_name": "Generate", - "params": { + { + "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 friend happy.\n\nThe following is the weather 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- Provide useful advice to your friend.\n- Tell jokes to make your friend happy.\n", "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, "top_p": 0.3 - } + }, + "label": "Generate", + "name": "smalltalk" }, - "downstream": [ - "Answer:FlatGhostsCheat" - ], - "upstream": [ - "Categorize:KhakiTimesSmile" - ] + "dragging": false, + "height": 86, + "id": "Generate:FiveDragonsLay", + "measured": { + "height": 86, + "width": 200 + }, + "position": { + "x": -303.2049394929516, + "y": 460.205697890327 + }, + "positionAbsolute": { + "x": -303.2049394929516, + "y": 460.205697890327 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 }, - "KeywordExtract:FineApesSmash": { - "obj": { - "component_name": "KeywordExtract", - "params": { + { + "data": { + "form": { "frequencyPenaltyEnabled": true, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", @@ -292,1632 +1691,626 @@ "parameter": "Precise", "presencePenaltyEnabled": true, "presence_penalty": 0.4, + "query": [ + { + "component_id": "answer:0", + "type": "reference" + } + ], "temperature": 0.1, "temperatureEnabled": true, "topPEnabled": true, "top_n": 2, "top_p": 0.3 - } + }, + "label": "KeywordExtract", + "name": "keywords" }, - "downstream": [ - "AkShare:CalmHotelsKnow" - ], - "upstream": [ - "Concentrator:TrueGeckosSlide" - ] + "dragging": false, + "height": 86, + "id": "KeywordExtract:FineApesSmash", + "measured": { + "height": 86, + "width": 200 + }, + "position": { + "x": 11.932933139796546, + "y": 57.173040113879324 + }, + "positionAbsolute": { + "x": 14.063015347768669, + "y": 76.34377998562843 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "keywordNode", + "width": 200 }, - "Generate:OddInsectsRaise": { - "obj": { - "component_name": "Generate", - "params": { + { + "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 Chinese" }, - "downstream": [ - "Retrieval:LemonGeckosHear" - ], - "upstream": [ - "Concentrator:DryTrainsSearch" - ] + "dragging": false, + "height": 86, + "id": "Generate:OddInsectsRaise", + "measured": { + "height": 86, + "width": 200 + }, + "position": { + "x": 8.505454221830348, + "y": 176.7452480823864 + }, + "positionAbsolute": { + "x": 12.765618637774594, + "y": 178.87533029035853 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 }, - "Generate:TenderFlowersItch": { - "obj": { - "component_name": "Generate", - "params": { + { + "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!", + "prompt": "Role: You are a professional medical consulting translation assistant\n\nTask: Translate user questions into English, 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 (Chinese): 医生，我这几天一直胸痛和气短。\nTranslation (English): Doctor, I have been suffering from chest pain and shortness of breath for the past few days.\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" }, - "downstream": [ - "PubMed:EasyQueensLose" - ], - "upstream": [ - "Concentrator:DryTrainsSearch" - ] + "dragging": false, + "height": 86, + "id": "Generate:TenderFlowersItch", + "measured": { + "height": 86, + "width": 200 + }, + "position": { + "x": 6.4217969708194005, + "y": 289.41241706707075 + }, + "positionAbsolute": { + "x": 9.616920282777585, + "y": 286.21729375511256 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 }, - "Retrieval:LemonGeckosHear": { - "obj": { - "component_name": "Retrieval", - "params": { + { + "data": { + "form": { "kb_ids": [], "keywords_similarity_weight": 0.3, + "query": [ + { + "component_id": "Generate:OddInsectsRaise", + "type": "reference" + } + ], "similarity_threshold": 0.2, "top_n": 8 - } + }, + "label": "Retrieval", + "name": "medical Q&A" }, - "downstream": [ - "Generate:CuddlyWaysVisit" - ], - "upstream": [ - "Generate:OddInsectsRaise" - ] + "dragging": false, + "height": 44, + "id": "Retrieval:LemonGeckosHear", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": 285.6757005660011, + "y": 197.46859232883952 + }, + "positionAbsolute": { + "x": 285.6757005660011, + "y": 197.46859232883952 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "retrievalNode", + "width": 200 }, - "Generate:CalmWallsCheer": { - "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": "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" - } - ], - "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 - } + { + "data": { + "form": { + "text": "Use QWeather to lookup weather." + }, + "label": "Note", + "name": "N: weather" }, - "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", - "max_tokens": 256, - "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, - "top_p": 0.3 - } - }, - "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", - "max_tokens": 256, - "message_history_window_size": 3, - "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" - } - ], - "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 - } - }, - "downstream": [ - "Answer:FlatGhostsCheat" - ], - "upstream": [ - "WenCai:TenParksOpen", - "AkShare:CalmHotelsKnow" - ] - }, - "Generate:SpicyChickenKneel": { - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 256, - "message_history_window_size": 0, - "parameters": [ - { - "component_id": "QWeather:DeepKiwisTeach", - "id": "61469141-48a3-4798-a735-8237da0c0e7c", - "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 weather information:\n{weather}\n", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "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 finance/economic information, stock market, economic news.", - "examples": "Stocks have MACD buy signals？\nWhen is the next interest rate cut by the Federal Reserve?\n", - "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?\nWhat a bad day!\nTerrible day.\nHow are you today?", - "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 friend happy.\n\nThe following is the weather 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": "translate 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 weather information:\n{weather}\n", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "weatherGen" - }, - "dragging": false, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:SilverDotsExist", + "measured": { "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" + "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." }, - "dragHandle": ".note-drag-handle", - "dragging": false, + "label": "Note", + "name": "N: Interface" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 129, + "id": "Note:SixApplesBuy", + "measured": { "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" + "position": { + "x": -1110.7442068670325, + "y": 109.04326530391003 + }, + "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." }, - "dragHandle": ".note-drag-handle", - "dragging": false, + "label": "Note", + "name": "N: categorize" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:WeakSquidsSell", + "measured": { "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" + "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." }, - "dragHandle": ".note-drag-handle", - "dragging": false, + "label": "Note", + "name": "N: Interact1" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:NastyPlanetsBet", + "measured": { "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, + "position": { + "x": -267.26820114571024, + "y": 895.5661251048839 + }, + "positionAbsolute": { + "x": -267.26820114571024, + "y": 895.5661251048839 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { "height": 128, - "id": "Note:AngryCloudsHear", - "position": { - "x": 9.917983533129814, - "y": 597.5792802038565 + "width": 381 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 381 + }, + { + "data": { + "form": { + "text": "This part is for web search." }, - "positionAbsolute": { - "x": 9.917983533129814, - "y": 597.5792802038565 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "noteNode", + "label": "Note", + "name": "N: duck & baidu & wikipedia" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:AngryCloudsHear", + "measured": { + "height": 128, "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" + "position": { + "x": 18.438312365018305, + "y": 629.5305133234383 + }, + "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" }, - "dragHandle": ".note-drag-handle", - "dragging": false, + "label": "Note", + "name": "N: medGen" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:CommonWingsProve", + "measured": { "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, + "position": { + "x": 667.6086950648928, + "y": 320.04639793250567 + }, + "positionAbsolute": { + "x": 667.6086950648928, + "y": 320.04639793250567 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { "height": 128, - "id": "Note:WickedRocksMatter", - "position": { - "x": 806.2393068252843, - "y": 135.72131770444153 + "width": 425 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 425 + }, + { + "data": { + "form": { + "text": "This part is for fiance/economic questions." }, - "positionAbsolute": { - "x": 806.2393068252843, - "y": 135.72131770444153 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 128, - "width": 208 - }, - "targetPosition": "left", - "type": "noteNode", + "label": "Note", + "name": "N: financeGen" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:WickedRocksMatter", + "measured": { + "height": 128, "width": 208 }, - { - "data": { - "form": { - "text": "This part is for weather consulting." - }, - "label": "Note", - "name": "N: weatherGen" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, + "position": { + "x": 806.2393068252843, + "y": 135.72131770444153 + }, + "positionAbsolute": { + "x": 806.2393068252843, + "y": 135.72131770444153 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { "height": 128, - "id": "Note:FiftyWebsReport", - "position": { - "x": 1104.5947767935495, - "y": 17.63844720518125 + "width": 208 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 208 + }, + { + "data": { + "form": { + "text": "This part is for weather consulting." }, - "positionAbsolute": { - "x": 1104.5947767935495, - "y": 17.63844720518125 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "noteNode", + "label": "Note", + "name": "N: weatherGen" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:FiftyWebsReport", + "measured": { + "height": 128, "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 + "position": { + "x": 988.0143050238387, + "y": -266.8179039129136 + }, + "positionAbsolute": { + "x": 1104.5947767935495, + "y": 17.63844720518125 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode", + "width": 269 + }, + { + "data": { + "form": { + "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": [], + "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## Wikipedia content\n{Wikipedia:ThinLampsTravel}\n\n\n## Duckduckgo content\n{DuckDuckGo:NiceSeasInvent}\n\n\n## Baidu content\n{Baidu:CleanJarsMake}\n\n", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 }, - "target": "WenCai:TenParksOpen", - "targetHandle": "c", - "type": "buttonEdge" + "label": "Generate", + "name": "websearchGen" }, - { - "id": "reactflow__edge-answer:0b-Categorize:KhakiTimesSmilea", - "markerEnd": "logo", - "source": "answer:0", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 + "dragging": false, + "id": "Generate:FunnyHandsTickle", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": 282.8614392540758, + "y": 444.05759231978817 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" + }, + { + "data": { + "form": { + "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": [], + "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 as following:\n{Retrieval:LemonGeckosHear}\n\nPubMed content provided\n{PubMed:EasyQueensLose}\n\n\n\n", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 }, - "target": "Categorize:KhakiTimesSmile", - "targetHandle": "a", - "type": "buttonEdge" + "label": "Generate", + "name": "medGen" }, - { - "id": "reactflow__edge-Answer:FlatGhostsCheatc-Categorize:KhakiTimesSmilea", - "markerEnd": "logo", - "source": "Answer:FlatGhostsCheat", - "sourceHandle": "c", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 + "dragging": false, + "id": "Generate:LazyClubsAttack", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": 554.9441185731348, + "y": 166.42747693602357 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" + }, + { + "data": { + "form": { + "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": [], + "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:TenParksOpen}\n\n################\nContent provided by AkShare: \n{AkShare:CalmHotelsKnow}\n\n", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 }, - "target": "Categorize:KhakiTimesSmile", - "targetHandle": "a", - "type": "buttonEdge" + "label": "Generate", + "name": "financeGen" }, - { - "id": "0d626427-e843-4f03-82d0-988fb56f90e0", - "source": "Categorize:KhakiTimesSmile", - "sourceHandle": "1. weather", - "target": "QWeather:DeepKiwisTeach" + "dragging": false, + "id": "Generate:RealFansObey", + "measured": { + "height": 106, + "width": 200 }, - { - "id": "51cf20cb-c9e5-4333-b284-61d9fe0f1f86", - "source": "Categorize:KhakiTimesSmile", - "sourceHandle": "2. finance", - "target": "Concentrator:TrueGeckosSlide" + "position": { + "x": 766.2368307106321, + "y": -51.15593613458973 }, - { - "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 + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" + }, + { + "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": [], + "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 weather information:\n{QWeather:DeepKiwisTeach}\n\n\n", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 }, - "target": "KeywordExtract:PurpleApplesKnow", - "targetHandle": "c", - "type": "buttonEdge" + "label": "Generate", + "name": "weatherGen" }, - { - "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" + "dragging": false, + "id": "Generate:KhakiCrabsGlow", + "measured": { + "height": 106, + "width": 200 }, - { - "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" + "position": { + "x": 996.5291688522603, + "y": -114.01530807109054 }, - { - "id": "reactflow__edge-KeywordExtract:PurpleApplesKnowb-Baidu:CleanJarsMakec", - "markerEnd": "logo", - "source": "KeywordExtract:PurpleApplesKnow", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" + }, + { + "data": { + "form": { + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 6, + "parameter": "Precise", + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 }, - "target": "Baidu:CleanJarsMake", - "targetHandle": "c", - "type": "buttonEdge" + "label": "RewriteQuestion", + "name": "RefineQuestion" }, - { - "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" + "dragging": false, + "id": "RewriteQuestion:WholeOwlsTurn", + "measured": { + "height": 106, + "width": 200 }, - { - "id": "reactflow__edge-Concentrator:TrueGeckosSlideb-KeywordExtract:FineApesSmashc", - "markerEnd": "logo", - "source": "Concentrator:TrueGeckosSlide", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "KeywordExtract:FineApesSmash", - "targetHandle": "c", - "type": "buttonEdge" + "position": { + "x": -859.3797967550868, + "y": 214.54444107648857 }, - { - "id": "reactflow__edge-Concentrator:DryTrainsSearchb-Generate:OddInsectsRaisec", - "markerEnd": "logo", - "source": "Concentrator:DryTrainsSearch", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:OddInsectsRaise", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Concentrator:DryTrainsSearchb-Generate:TenderFlowersItchc", - "markerEnd": "logo", - "source": "Concentrator:DryTrainsSearch", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:TenderFlowersItch", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-KeywordExtract:FineApesSmashb-AkShare:CalmHotelsKnowc", - "markerEnd": "logo", - "source": "KeywordExtract:FineApesSmash", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "AkShare:CalmHotelsKnow", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:TenderFlowersItchb-PubMed:EasyQueensLosec", - "markerEnd": "logo", - "source": "Generate:TenderFlowersItch", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "PubMed:EasyQueensLose", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:OddInsectsRaiseb-Retrieval:LemonGeckosHearc", - "markerEnd": "logo", - "source": "Generate:OddInsectsRaise", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Retrieval:LemonGeckosHear", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-QWeather:DeepKiwisTeachb-Generate:SpicyChickenKneelc", - "markerEnd": "logo", - "source": "QWeather:DeepKiwisTeach", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:SpicyChickenKneel", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-WenCai:TenParksOpenb-Generate:ItchyFilesTakec", - "markerEnd": "logo", - "source": "WenCai:TenParksOpen", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:ItchyFilesTake", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-AkShare:CalmHotelsKnowb-Generate:ItchyFilesTakec", - "markerEnd": "logo", - "source": "AkShare:CalmHotelsKnow", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:ItchyFilesTake", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Retrieval:LemonGeckosHearb-Generate:CuddlyWaysVisitc", - "markerEnd": "logo", - "source": "Retrieval:LemonGeckosHear", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:CuddlyWaysVisit", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-PubMed:EasyQueensLoseb-Generate:CuddlyWaysVisitc", - "markerEnd": "logo", - "source": "PubMed:EasyQueensLose", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:CuddlyWaysVisit", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-DuckDuckGo:NiceSeasInventb-Generate:CalmWallsCheerc", - "markerEnd": "logo", - "source": "DuckDuckGo:NiceSeasInvent", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:CalmWallsCheer", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Baidu:CleanJarsMakeb-Generate:CalmWallsCheerc", - "markerEnd": "logo", - "source": "Baidu:CleanJarsMake", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:CalmWallsCheer", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Wikipedia:ThinLampsTravelb-Generate:CalmWallsCheerc", - "markerEnd": "logo", - "source": "Wikipedia:ThinLampsTravel", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:CalmWallsCheer", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:CalmWallsCheerb-Answer:FlatGhostsCheatb", - "markerEnd": "logo", - "source": "Generate:CalmWallsCheer", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:FlatGhostsCheat", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:CuddlyWaysVisitb-Answer:FlatGhostsCheatb", - "markerEnd": "logo", - "source": "Generate:CuddlyWaysVisit", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:FlatGhostsCheat", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:ItchyFilesTakeb-Answer:FlatGhostsCheatb", - "markerEnd": "logo", - "source": "Generate:ItchyFilesTake", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:FlatGhostsCheat", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:SpicyChickenKneelb-Answer:FlatGhostsCheatb", - "markerEnd": "logo", - "source": "Generate:SpicyChickenKneel", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:FlatGhostsCheat", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:FiveDragonsLayb-Answer:FlatGhostsCheatb", - "markerEnd": "logo", - "source": "Generate:FiveDragonsLay", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:FlatGhostsCheat", - "targetHandle": "b", - "type": "buttonEdge" - } - ] - }, - "history": [], - "messages": [], - "path": [], - "reference": [] + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "rewriteNode" + } + ] }, + "history": [], + "messages": [], + "path": [], + "reference": [] + }, "avatar": 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TSlKU00pSlNNKUpTTSlKU01xF5tJ0SrelHQbcPwpGyrsk/DrsFeilfCklXaorfHt4knrVEd4Swi4rRNuLXn8h3OEtSJMG1OJ86HicN5IQGJ9z6Em9pGi1aQ3DWvz582OznF4geWoHCvF+QZxLS3InsNNwMet7muu55JNcS3Z2EbJ3HYkFcyQlwhKIbUhS1NpbWDW+vF3uWQXe6329THZ93vdwevF2uLqlKkT7nMc98nyXyrsH3l/vNjoPlNI77S38VYifFH1Wk25h4ti4Oy0WZ3DWkfMTwsVlx2Bk74/QV1cNHYzJR4C/HMON+b4DS2awax945tqddcbWftsWwDZdSVaGoCpZAeee6wCUBHBCBxwpII60gKShA2B0+V09CG2UMd/gWlolanP6YSofQilKVrq/l4HPPHn3PHJ5PJJPA55J9vHGon0pSlNNKUpTTSlKU00pSlNNKUpTTSlKU00pSlNNKUpTTSlKU00pSlNNKkw8CPiQcx24xeE8ymuO2K8THkcfzZC0qTYrqtzzZWNuu/nFi23FRckWRtek26Qt6HJ8iJNC4EZ9crL70d5mTHdVHlR/dnYsphSm3Yr7f25KFJ0RcUn+PT+bPyWavPYG98t093RjdzYli0lSVUu02cpXyWNlZRdoWCEkPbNECYX9NjBZSGxGUsRQutRxWRnxV2K5ASSh7ZY+QFmhYjvibkgcNwPwRx4I882v1PNp9SfkOyFn1Oh6JPqfT67GvUb5KxU8KHNiebuLLddLhJacy/G3kY/mLCSFKfusaG0Yt4HSEpMa7QlCUhTa3UpktS4q1ImQ5EZnKutwO29w47dWDxe4cRL6+Ny9KteqSHgOEsRhzFKoJ7ZoHLQToSDHPHLGQQgZp3qWYblaG1A4eGeNZEYcexA7lYcnh0cOjqeCpXtIDAjSlKVXNejSlKU00pSlNNKUpTTSlKU00pSlNNKUpTTStnmI7dz33+ir5HR327d/Tet+o2K315/yPmUTjzAswzecEKjY1YbheOh1YQiS/DilUSKFfoqlyy1HRvQC3AVEJ+KvJfuQ4+pZv2pEhqUq89u1M/6Ya9aJpppD5XwsaMeOeSeOPY6/EkiRI8khCxxo0juSAFVB3MTz+FBJPsACT41Df4/+WnM05Sj8fQJBcx/jNHlyEBxXkScynRW35010aHmps1veat5bAWUSXbk2nby0pOA9fbdrnOvlzuF6uj7ky5Xe5Srzc33FlS5Nyuz7k+8L6id9D9xlOONJJ0hmMlvttAV8VaZN77qub23Xnd0Xe8SZfITWIYnKk1aUYWtjqQ7fcU6EFaAN5LlS7M0jOxx/wAlefI3rVyQnunmdlU8/REGKxoD+ngKOQF/JJPBHClKVauvFpSlKaaUpSmmlKUpppSij0gFfwdXp1/AfxCtFP8AWArVYU2NrStH+ehST/YQD+yueD+D/kdB59vP8vOtKVpv7IOwpfogghf4tkBaf6yRWtcf8fb+OmlKUpppSlakEdOwR1q6UAghSlj7aEpICitn+UJA6o38oDdP+f8AYT/uBP8AIE/bTQgghOiVEbCANrI+5A2s/q6d1ofhJSoFJHr1gp/aoAftr17ivgvk/meYY2C4y/cILMhQuN8ndEHHLQEjZYcusl6MXJgHcwGFuzgO/kelZ+Yp7MaSYzK845TDD4351tw2xtGKB+j03G8LaaX37HePJ12I331I20ekfUbfEC29ubXv2qDglclYNTHY5yCQVr2slcppc9jzJXBUcAEDvTmr0cDlskiyVKjvCwBEr9sUZB9irysiuCAeezu7Tx3ccgGKUfF9ghY+rZ8xP+kjqT+2h7EhXw6+avhB/wA1StJV/VJqYyd7MjBnmSiDydmzD49HLhbsaubJ+7yjCjH8dj66+VYzcl+z95fwiNIueHXC08j2yG0XjBtiE2HImmh6FGPyHU2ySo6IDTE515XSdN+tXFnfh76uYCtJbsbTsXq8Ss8jYe1Qysyovbyy1KdyS6/Hd/8ATKg4+uSPle702drZ6qhkei0qDyflWWxIPb/VIwduefHaDx9+NYGUr6p0GdbJcu33OFMts+3uSGp8C4xX4M2C5F/wkTIkptmRFEf+PU+22lr9Mpr5ahhlZGZHUq6MyujAqysjMjKyngqyurKwIBVlZSAQRqgEEEgggglSCOCGHupB9iORyD5HPnSlKVxrjWXHgu5dXxbzNZIsyUY2L56IuKZA2soRGjyJDqk47clIJ2hyNfFyEPOdHwsXCcXSllSFGwZ5qDvRJ0QCQlZGypSNbCdHSknq19gfErSSCanYU4khbZ8twfnA7sh1qQXve23W1o7pVHf7JII7907HerKXh25EVyjw1geaPuoculws7cO+LSQ5q92mQ7aLo4oAjpVNkwHJLaQk9LUhCtqCwVZ5fB/vh5qW4NhXpmb9ngZ/Bq7hilaxOkOZqopbuEcV+eC0naO1muTSDwTxJmwsgXjs4tz4i4s1QWB4iZo45UA8soVijfVz+8kbzwQNe7VsDiFDaVbH6j+0a2D9xG631g/x/wCPbw3ZhlF7wK4Zs3x1nNgv9zxi64pyMyzi8pi9WmTIhzmWL24peMTnG34khlKYd5kKeWhAZS4l1lS89cbt7P5qtkbeFw+QysOJihmyT0Kk1z5KGdpFimspXWSWKB2ikUzmMxRsoEjKXQNXs9vPae1rmHo7l3Hh8BZz8tmvhUzF6tj0yVmr8uZqtWe3NDFJaUWoTHVQvPOHJiRhG5GcFK+ZE2K6hDjbyHG3UdbS0bUh1HT1dTSkgpdSU9wWyoEVyB5pQSQsEK+ydHROt69PXXqD3HoRuqQfB4Pg/g+D/kfOrlDKw5Vgw8eQQR5AYeR+QQR+QQfY65aUpTXOlKUpppSlKaaUpSmmlKUpppUfPtD8ycsHCcPF2HXG5GcZXa7e4gdOnLRa21Xm47AJ/NKkQYMVxCtKPvu0pU2l1SJBqhs9pjkLsrNeNMVG/LtmL3y/OaPwiVerhGt0VRSdAlCLJJSkgHpC1dRSFDcJ/EPm3wfSPds0TlJ8hVq4WLt/UyZbI06lpEAIbuai9ocqeVTvfj6eVt7dNlq2CvMjcPMiV0/PM0iKe0A8klA4PAP0lvGoyqUpWpvUIaUpXeY3jV+y++WzG8atcu73y8SREt9uioHnPPbVsuKdU21FYQlJcclSnGIrTKm33HksutrV2RRS2JYoIIpJp55I4YYYkaSWaaV1jiiijQM8kksjKkcaAs7sqqCxAPKgsyooLO7BURQSzMzBVVVHlmZmCgAEliAByRrogpJICVoWSdDoWlez93QVU2NhIIK1d0tpIU4ofVLaSVqT/SSkp++pXOP/AGaTr9siy+Ts9mwbi+xuTYMMjxJESA8f0U3bIFXOK+d9j5dh6AO4Wr0rruS/Zs3aBaH7hxdmj9/uEdtTgxrMmocV+4pA2IELIIjibdCUoggOSbM20O3U6BsibH+HLrBHiTl22o7IIfWNCPIY+TK+n4PeMes5tNN7/wDwAiNrnxzq4v8ARPPiD12oH+79QxLNAZgP+oIhIXaT/sgc+OO3z4i1pXY3a0XSw3O4WW9QJdrutqlOQrjb5zC40qHLaWpCmHmnQkpcUR1Mgb94bW08wXGnWlr66oRdHid4pEaOSN2jkjdSjxyIeHR0YBkdT4ZWAZT4IB1bpBUlWBDKWVgQQVZSVZSD5BVgVYHyCCD5Gla9Ku4CVEhbbekpUoqce/gWmwkEuOO/xTbfUtz9BKqaOifQAqBJ7aKE9at/cE9wfQnsCT2qXHwQeF62xbFa+a84s7dwvV1bamYJaZqG3GLLbQdN5O5Df62nb/dk/nbY3MbSizsEee2w+olq/OnHTzNdS9ywbdxBSuoia5ksnOjvWxePikRJbUyL2mV2ZxDVrq6PYsskalU9WSOpYjFWMxcSnBwngyTTPyUhiUgFiB5dySBHGCGcggex4xD408E3PPI8ONeBZbdh1jkN+bGn5nNl2uXNRrYJs9ubn3iKT8hLgR1emxqvaZvs0eVmGC7bc249lygN+S6xf7ag/d1MxZKd/rIHbQPzqaANHXprqHSQFnYA3ogEdAPfuQPU996r6az0xXwndK6lEVr8WcytwxoJsjNk5KMjysg72hr0FhrQxhv0RsszoQQ0jc8mTodk4aOFUm+Zsy8Dvlaw6t3DjntCdoCk/c9xIHHOqyXKPBnJ/DUtpjkHFX7VFlLS3b71BW1Oxq5PqBKYyLvFflIZmKA2Ij7rUnXozXkpBGgR69X36CftKUR2ShPzcVpA/nVajvuMWbKbTOsGSWmFerJc4hiXG3XJtMqNLaKNEOMK+ArJUSmQktPpWltQVtttSa/Pip4Bd4Gz9MK2mW7g+UNSbjiz8gJediRlKSm649OdbK1uPQwtDjK1IQZLSupgLUhxKMZet3w+T9Nao3Jt65Zyu1WsRQW47oiGRw0tlkhgeeWCOOC1SlsOkKTrXqlLDxwSoiTxWjZu4tqyYiMXKsjWKRZEcScGeBpCqo0hRUVkZiV5Ea9h7VJJZecYaUpWM+rQ0JAIBIBKAsA9tpV6a/pfVH20/pJFZp+ETwrSOcrs/lOWocY41sU5yDMSha2Z+YXRnoU/aGHlHqj2ttKym/vxwmSuQkxitDqXA3iXiOL3LM8rx/D7N0ruWS3u2WKAVgEtSrs+1HkzOpRS2luK86hJC1pAQS6NtIWtNmvjzAbNxth1gwjHoymLRjtvjwox6WUOy3UKW7NuElSVKK512mOSJ1xdVoOvS1FJCis1kn8N3Sen1B3BbzW4IDPtvbT1WkqFW9PKZeYCWvRnYDlqdVY5LF6MOqWUatXlBhndJLu2ng4spcezZUtSp9vdGy8+rM4JWNjxwVVVJkQcNw8Z5UHXeWTGbPjVrhWXHrVb7NaLdH93hW63s+6xY7etFDcdr82lfYEyFl10qKydlZUf0VKVs4hhirxxwwRRwxRRpFFFEixxxxRjhI40QKqRoDwqKAi+e0Dk6mFVVQFRVRQAAqgKoAHHgAADSvnU2r7ICiBoghfQCR6IUsbcIBJP2SPT6ar6KV2ce3k+PI4JHn7HwRzx9geR+Qdc/kEAg/Y/w/5/2nWI/iS8K2M86WiRcYceFZORoEZDthyhLKECY/DPmRLRkjbZ1c7W4oqbQ86hci2bS7HEkJUw5ANkFgvOK3u7Y5kNukWq+WOa5b7pbpKR58WU0vpUkeWpbb7SklMhmTGW9GkQ3GZzDzkN5p9drGojPaOcRRmF41zXaoaGH5U1OI5goBCXJTyY737nLkpLRKlL8iLLtUh4hSlQmrc0tSVhCThx8UHSHHXsHa6i4GolXMYkrPuKGtGiR5TGMyRzX3iUoi3ceoWWawvaJKQsS2RK8EZNg7xwMU1d8tVjSOzCQ1wKO0WIfCmUgDxLGxVmccL6ZkZh4DCKqlKVr31FulTB+zTzRU3E+RMDdecIst9t2TWuOrRW3BySD7vLbRraUNx5VnafUlRG13FXSkr6wIfKz09nbfzaed5tn2ry8pwe7xVAKUELfs0m03VhZSP0kx2JjI6gPhcVo9+8zfD7mmwnVzZ8neyQ5O5PgrKgkLLHmKdinCjEEHlbz1J09wHhUlW441cG1rJq52gwJ4md6zj35WZG45/AEix8E+A/YOCSAZ1KqEe0uwZvBvGPymI7DLcDLjYeQYyQSx5y8hsTZurgdEd1bMsZBbp9wU9GCQtS1N7Lqgmre9VtfbU4siBzBw5l6W0pGSce3SwHQQlTkjGsnYk9bhCt9TbGVx2OpWgpsgNkhtzo+g34Q80+N6uRY31XSPcO38tj2CuyfXU+XzCuCjI/eIsbPECG8JNICPIZcfv7RPbiZj4fmzATifaW78BlVnXvWSOHItZ25KgeMhlSWXM1i/BHmJGDBkU6wN4F8bPiG8Or0SNgmbyrhiEZSUP8d5f5+RYZIhgaMaJAlyFTrEVAALVj9ztXWnaVKIUoKn98L3tMuFuf12/GsweRxRyPKQWIllv8lp7GchloRsjFMrU3GYky1kkfki5CDcgUqSzHc3sVTq5utI6lAqCnT+cAQkgLPq8hRUhSnR/ztCosr+j2rNzqX0A6f9SY57FrHJhNwyBpI9x4eKOG686qGRsnGFEeVjYoqP8ANd1sJxHXsRAtrVv0R+Lvq70Xnq0qWak3PtGHsjk2huazYu41KwIWSLFWnaW5hHERlMQpmSj6zd1nF3eVVb8ipDKe6l67pT6KPdZ0gHQOutXwJ39pZCBtR1XNVWrwb+05z/hV22YFzJIuHInFIXFhQ7lIddmZtg0NCS2pVvluHd/tAQSldjnvFy3NhCccmW+GkWkWZcHz/DOSsWtGa4JkdsyfFb9GRKtV6tbxdiSm1KLakHrS27HlMOpVHlwpTTMyFJQ5GlsMSG1tp1qdUOj+7ulGRWtnoEtYu1JImL3BSVzjcgqAuI27gWpXVi4ealO5dSsrQSWa8Ysvu66D/Ef086/4SS7ta4cfuChFHJnto5OWFcziS59P1kCER5LGySqfQydPuh7ZIYrcdO4zVl/YUrZ5iNEhQOhvQ7nX16Rsn8B3rfUV6n/SlKU00pSlNNKUpTTSoHfaGTXpXiEVEcJDdtwDFY7A32C5EjIZTgAHp+deZ2ddPx7BPSvpniqBT2gqFI8RlwUsdKXMJxB5B2PiaC7sgqABJGlMOjR0rafT4k7xh+LZmXpVCFYqH3TiEfj7oKmUk4J49g8aN+OVBPtqzd9EjCDg8D52tz/m/wD6/wDI1hFSlK1m6iHSpYvZs8eW5yLnXK8uKh65sXJGE2Vw7W9AjNRIV6v7qOtBHnS5E22xGVtqDgtMVLKesrW2Ynalf9m3yTbY0fOuKpr4YmybhAzawJdUQu4Jetcax3phjt0uLis2S2S/LCvMcTMdLKHCy+Wpz+G84gdX9sftf0+GXJDGGbxEuWXH2JKrM3I7X9OOwtYlgouNWYK0qxcXLtEQft6p63YPpmEXf28euYz6XHd4LBwCoH1dwUj24MtNbSOpOiNb/H/f/cUK0jsT3+mj/s/bW3zWyNhW++joKOjrfca2Br5nQPyNbXO5RzyR4BJ8jwB7k/wH3P21Nf8A5c/08ef5eR/mNQ3+0g49tdmyfB+SbfFTGmZYzPsd/DKEpMufZ47P5Gu8hohIXNYt1wnRnFAKVuFbnF6bjqUiMupLvaPcjWm+ZZhnHlsmCTIxJm7X2/qZUVNxLle2ItqhWpw9IbEtmFFlSXmULWtj8oNB9DLjTiUxo1qV+IE4j/pd3kMMYmri7VFsweYzljjKTZftflu5hkGsLNw3CWRPF2oyMiwhuownPXzAEC+ogf0+3tEwij9UDt8A95JcfqDli3k8Dv8AFrMckyfG8dB0MkvlispIIHR+VLw3E6h3AClsPNk99p6tL6SFBNpK22qNZ7fBttvYEeDbojEKLGSE9LUWK0llllKUkJ+FCEgH01vq7k1Vsxa8qxvJ8cyBtPWqxZFab2kHff8AJ93hSko16kIYZcXoAk9PSNrUlJtK2u9W+822FdbdJakwbjEjT4Uhkl1uRDmMiREktqQNqakMEOtK0OpBBHqKyG+DEUDBv88J+0jNt1pCwX1BT9PJJGqd3LFPm4pXk7foLPB3All5unp/6fp5QeBL6lQn25MTB2Ufc8CTlW4P6u1f1AHXa0pSs5dSNpWCntAcUiX3gC4XxaFGbhmS49eor2h1tonyxYZjaVK0S0pq6h9SEk9aozSEpU4EprOusEfaCZhDsfh+mWPzG/fszyTG7NHj+YkPIZt86Jk0t4I33DCbVFQ7s9SUTUH0UCYy6yiielu/DkRGaybWzEgLgHttrUcY50B45dMi1RowPqaURqnLlRqkZ4xDC5MzBSgpykBuP7zjiIjn/GJCnp8eTJ2AckgGCWlKVp81A2svfAnZG7z4kMOefQlxqxWjLMhCHAlQM1i2pgxux77Zl3EOoWNpStkLB0kKqwXVfXwMXqNZvEjhqJD6GWr7acjx5BUTtb0yyzrhEbQACfNfdtqUpQfiCulKwla0JXYH609vtdyAB0L331310713G1a0O+yNHWyb4QzV/wCjTJiJlNhd2ZFbXhRJx+zMRLX7gOG7PQkVl7ufJkZT2t4lzYvYcPIV7S5vTCQjju5CRKgbj7lRyAfPkn2IA30pSsqtXppSlKaaVi34w7KzfvDjyrGfSlbtusLF6iLKR+al2GZEuqHUE6CVuNtqYK0kfA6psHSlAZSVi54xb3Fsfhu5SeW8lDkywt2OOFdW3pV4mQYTbQIB264hz4QSOw2SAQasvqN8r/oDvUXWQVTtPcRm7wpBRMVafwGB+oFRx+BySD4Ip+VKDGZEyAGP5G0XJ+wELH3Pgff3+w/nqu2QQdGtK3KIJJH+/attaY9Y/wClZT+Cie7B8TPGYQdImycrtrvfW2X8MvjrI13PxyojKdfonSldKQVDFismPBu0p7xNcShG+oXq/uaHYdMfEclW8foAhIPqR1dgnqJAq9Om8jx9RNhsh7WG89scOByV/wDndHjj/vniI889wkKDhmUipYc8ZXH+eD85W/n/AH8f/J1YwqBb23Nvbdsfh4u4T+eZvXItr8ztsIch4vPQgH10V29Ct60CACQSNz01BN7bN5CcL8P8clIdcy7P30pPr5Tdisza1g+nwrebTrfUStOgd19B/wANTunW/YnZz9dnMRNxz5jk29llkU8fYoST+OOT4B1aXxtxRS/C/wBVBLwQlPbcq8kDtePee3HjcE+AwkVFB+/f2D6nUivRSlK2+6+crSs1PB340s+8J+aokQ3ZOR8ZX2XHVnGCPPqbhzmlBDbmQY6ypRj2XL7ey2lEcNFu03KOlNruDxYTAn2fCulUTcW3MLuzD3sBuHHwZPFZGBoLNSwCUIPDJLGwIaGzXkVZq1mMrNXmRJYnV1B1dOzN6bm6fbjxm7dn5a1hM/iLKWaV+o5V1K8iSCdP7u1Ssxs0NyjZWWpbgdorEMiHgXpeLuU8J5iwiw8iYHfIt/xfIIzkmBPjrKS26w4WpMKYwpKH4M+G6h5mZAmNMy47jS0PsoUlQHpdVF/AN40Lr4W+QxZ79Jlz+G80mR42aWhtK3F4/OfCGmc3skJHWlLtmShEK6QogclXzH22lmHKuse3RbZbXt93tl1gQbpbJ0efbbnEizrdOiuB+LOhzmm34kqK+31NvsSGXWnGnG1KStC0qB0RWozrT0jyXSXc7UW9a3tzKGWztzLSKAbMCuolo2ioEaZKj6sKWY4wEkWaGxEFWf0ovok+GT4icH8QWx1yafL4/eWAWtS3jgI5Cy1bcqO1bK47vd5JMLlkjkkqF3klqWIbePsSzS1fXm7GlKVDusk9KUpTTSlKU00qD/2kVpMXmfEruW1Ni78fx45XodDrtryC8IWkEEjbcWbHJ2QNOBO+oECcCot/aX4qqZivGWasMqUiyZBecdluJQd+TfYceZFS56LCEvWN8IWAWwt3RUFOthUBfEzi3yfSDcDxr3yYu1icqg7Sx7YMhBXnPCjntSpasu5+kKiF2YIjA2zvCv6+Btke8DwWB+OI5QG5/h2uT9uOPcah/pSlarNQrpXcY/kN7xe9W7I8euMuzX20vtyrfcYjpQ9Fdi/YSz0K/gZPzQvsP0wmunpXZFLLBLFPBLJDPBJFNDNDI8csM0MqTQzROjK0csU0ccsUqESRSIrRurDnXKsyMrIxVlYOrKSGVl54II9vfUpWA+0omwbaxB5KwB69XFhkMG94jNiRG5xAAL8yy3RTDEcnW9RJjuvRKUgkHruSPaRX68WyTbuMcJGLypDBjm/5VKjXuVDJBHn2+ww1ItrygCf8OuLXUSCUdhqMalTM/wAQ3V+TE/sht32RH6QhN5aePTLGMDjn9ppVW2J/uLgkF1TyyWVJJNwHdWeMHoftBwvZ6fqLHCtjjxwfmBGJu4ceD3+POvsuVxuF6uU283ifLuV1uUt+dcLhNdL0udPm/wCMbjKcJIVJkfxISSlr+jXx0pUMSSPLI8srvJJIxeSSR3kkd2PLu8kjM7s7EszMzEsT544At8kkkkkkksxJJLMeO5mJ5JY8Dk/w0qWvwN+KW0mz2/hnkK7N26ZaAqFgV8muAQ5lsQ/0NYhPlFZYj3O3Mgps6JflLRaA1EcW1LZTHciUrTRGyCCUkqQAPL0P5ramyFok9v8AGBIk/fV8dOuoWb6abkg3HheyYmJqeRx0xZa2Ux00kUk9SZ0DPEytClitMikx2oYu4tE0kM1TxGVsYi4luvw3gpNEx4WaFgQyH6lHIPa6n3DopB45DWxwtJAUDtJAUFAHRB9CDrXf5d62h1tQSUq6grelJBUk69T1JBAH3k6qvJxt4zOd+NIsa2RskjZdZoaiiNbM2hG8KQ0oaJXeESGb8vXySq5q0dnp7nftFw9pHy9JiFuDhvHtumLGvfVNX+4Ka18xHcuMRpR+7rUnX6O9Gs9cZ8WfTG5QWxkFzmIvBAZcfNjHuHvI969mjJPXmi55AM71J/bvrR+AZLg3xhZI++YW4H8cxGD1CP8AxRuVP/68fx+0y2SZZjeIWW4ZFk94hWSyWqOZNwuU9wsxozQBPxqKSVOnWksNpW+tWkpbKiAa+fim59e555CN0gCXDw7G48u1YfAe2FraeeSzMvs9pxfa5XNxBmNAJSpiyN2+C6lFwbkMJ845L5q5O5emiTn+Wy7yxHV5sOzNsog47Be1rz7ba45S2xL1oBcpEpvQ+16V5XWMvW74g7XUuum3MDRsYjasVhLNj5xomv5qavJzWa3HE0kNarA6ixFUV5mFj0bJsGWvXaK0NxbpfLJ8pUR69INzJ3ketZ4XgeoF5SOLuPcsau7hlUu44AKlKVjTqz9d7imSXPDsnx/LrKUt3bGL5Cv9sW6d7mwZUZ/StbHlSGG34ykHQ6X1BWkkmrNPHWe2TkzCsczjHnEu2rIrXFnRx1bdjOP9SZ9tfSelTcu2yG3okppSUralR3o6kpdaUhFXmsy/CV4pJfBd5exrKHJlx40yGYpyc0wlTj+MXBSENIvtvZT1urjOpbZYu8SM2uVIjNMzI7Tlwghi55IfDh1ZqdPNw3MNn5zDtjcprLNact6eJytdlSrflAACVJ1eSLISksYlMUoQwwsI7t2nnI8VbavaPbStmMPJz4gmRexJSvPHY459VvsVU8j2M/tK6HH8ox3K7PAyDG7xBvdluccS4FztzwkQ5Uc+jrTyNpKfl30d9tb7V3nWgEAqAJ9En7X+j6/srZ3DPBYhisV5op4J4knhnhkSWGaGRQyTRSIzJJE6kMkiMUZSCCQdTErK6q6EMrgMjKQysp9mVhyGB+xBIP21upW3rT376AGySCEj+sQE77+m91p5iNb3ofeCP7wK7ORwTyOB7nnwP5n7a5+/H3PsPufb7f1H+Y1oXmwdEnZ1odCyTsb+EBO1ADuojYT+kRURftHOXYcx7HeG7PKQ6YMiPmGYKaKh5MlCHoeOWyQehKUrbRKm3B9glSw6m1KWAplwN5ZeJfxW4nwdZZdrs8mHkXJMxlbdvxxLheiWdT+0i85Q6yXFWyBFJ6zB8xNwfSpIjwnEKC0wK32/XfJ73dciv89263m+XGTcbtPlKUuRMmuf4PIfJ2Pd4/ohhB6k/JFYZ/E/1gx9TC2unGBuxWstlWiTcc1ST1ExWNSZJGoSSKe352+VWOxWBMsOONgyRLYnrxCwd552KKq+KqyK9icgW2RgfQhDKWi+lj+9lBKMrA8R94ZAWHHT0pStfmot0rMnwF2wXHxIY1JLalt2XHcuu3mBOw0tduet6Fr7bT1JnOIBPfagjWyAcNqk/wDZo4st/K+Ts3Ughm1WSzYsyCkHqlXmW7eZaUH1BbZtkULP2AmQE9W9gSr0QxcmY6sbEponcIs9Xych7SyrFhIpsy5fwQqkUAO48fX2jkE6re24DYzmOQAkLOJW4BJ7YQZufAPA5jXuPsF7vb3ExNV5/bbXtD2R+HrGG194Nqz69yGeo9YFxnYpDjOqSQElLiLJMR1J6iklSVhJUnqsMVVc9rxmIyPxZJsKV9SMD44xTHQEK6kNTLxMm5PJWvW0h4oubLTuiVIZQ2V9KFJ39Bvwn4t8h1kxFpV5jwuIz2UmYjlYxJjZcRCxA8km1lYEUAqSWADckK0Nf2gmcTE/Ddn6DEh9zbi2vg4QDwzPBlE3Gyg8+Q0WAkVhw3IbjgfqWLKlKVte18/OlKUppoQkjSgSd/aSSD+Hz+/1qxB7JLxVryKyPeGbM55cu2Jw375xrLlPKW5NxYjzrxiwedV1LmY7JkP3G1xnVh9OPypTCUJRYQhuu/XonF3JF/4l5Hw3k7F5K2cgwfIYmRwj1rSm4LhuKjqtsjpKR7rdrWuTb72lekyLfcZzTZLykJEY9XundPqdsbLbbnjjGQEbX8BcfwaGcqxS/Jyhh9SxWUeeha5PY1W3KrAOY3Sdfh06x5Hof1QwW8a80xxDTxYrdePjPKZPbF2zB+04DGWCvPW9KHI48HgDI06jSMsAm5vTl5sfM72BoIWVd1+WPhCerXUdFWtAfESE965a834zz+x8o4FiPIuNOh+w5lj9tyC2OBJK0xbpGL647iulCkOxn0KYfS6G1svtLZWhC0BI9IrTFYr2KdmxTtwvXtVJ5a1mCRWSSCzBI8M8EitwwkikRgwZVI5A4+5+mCjeqZOlUyNCxFbo36ta7StQN3wWqluCOzWsQvwvdHNDKjoQOCDyCQfClKV1a9elKUpppWNXirwJzkXgbkSwMMeddY9ocyKypT/CC5Y+pi5NIZJKUpU8ll6KNlPUHyPRRrJWvkW0XUKaUynoUnyyF9DiC0FhC0KSSSQ8z8iCO2laVoVR9w4apuLB5jA3V7qmZxd/F2QR3AQ3q0ldnAIILRs6SLwO4FOVPgg+e1XW3XnrPz6c8MsLccc/vEKA/UCPp57hyPDBSeQCDVCHdKVD0UlS0k9tpS028T30Rtt1BQDouKKm2wpxC0pV7v4lOLXeJuZc0xVphxqyO3L8v4z19KW3LDd1vTbXFZVv+DtLrz8F1Sgn4oflqG9A+EVpazWJu4DMZTBZFPTv4e/ax1tOGA9epPJBIyhgGCF42Cc8l1USg9kiAY/WYHqzzV5QRLBLJDICCB3xuV5UHz2svaRz788+3GlKUqma6NKUpTTSlKU00pSlNNKUpTTSlKU00pSlNNKUpTTXrHFvNvJfDM8y8AyeVaosh8yJticQmbj04kEaudtkktvudz+ciJi3Hv2vdZ54z7TO7NxktZtxexcJBSErm4pe1WtPb5i13hu6NdXb1Fy1930i0pUibT6sdQtkQfJ7c3Ndp4/nuXGTx1cjjkYgBmjp5GvagjZyO5yir3k+eVWNUqtHN5XGgJTuSRxhiwhYJJEGPuVjkRlj5+4jCA/cHgcS/S/abYoyz/xZxRksh3R01Kvtmgsg/XbEaYT8/wBH6fOsaOSfH3zJmkaTbcUTbONLW+FJU7ZC9cciWkhI6PyvNShEXXSNLtke3ODavj+I7wYpVw534gOre4aslG5u61VqSp2Sx4itRw8rqRwR87jq1e/H3DkN6NqPkEg+PGvXY3RnbMZje/IikEH0FSAt/NolVjx9uT9z+dc0mVMmypM2bMlTJ0x/z5dwlPLmTJj3+UnS5KjImN/9W6N/cK4aUqG2ZmJZmZmZmd3ZmZndjyzsWJ+pj5YjjvctI3Mju7W+STySSeTz5JY8n3PLEsef4k6UpSuNNPXeu+isH7ihPWrf0AT3BPYnsCT2qe/wK4GrCeArFcZjC27rntynZjMUoJDoi3FTcCxpUUlRLa7LEjzkpUQpgy1svpakIdaTCjxTgM/lPkTEsDt3mpVlF4YiTZLKetUS2RpCpd0nK2U9LUe1Nl5SyoBai3GQVSXW2VWcLRaYtlt0C025hEa32yHDt0CM2AlLEGFGbjsMgDt8AbHcdiNH1rMr4QNnSXM3uDfE8PFfE0xgsa7j9V/ItBYvyxEoeHpUI44GIP1rkH7QOONSBsKiXsW8kykJDH8tDzwS8sjRtKR4AQpEF8Nz3RzE8cHX3uS4zSFOOvIbbQlS1rXtCEJT1dSlqUAEJSEqKlKICUjqUQnvVI3xKckK5a575d5DbcLkfJeQr7MtZWXFBVlTI9xsDaC4lJSlOPxrbFSlxKVNOx3PMS31JSbUXj15mRwh4XOU8kiyxDyC+W9zB8S2tKXF37K0KtypcY9wF222P3C6qUpSUt/k5XxBakJVTpCtAIAPSn4UdR2pJ/yqj6qPb6lXp2Oq+gj4KdpSx1N3b3sxBBbnqbbxjHwxirqmRyy97DteCWWbFoZkAUPXljBEsT9utD+046hRz5Hp30xqTK5x9e9vTNQ/SVWXIB8Rge4dxKzx0483IYiA6x3oJDwGQttpSlZ3a1PaUpSmmlKUppqy77HPl9eU8JZbxPcpPnXDi7KRNtDe1KKMPzd2bcoMRCVggNW+/wATIGtIUVMIkR0lKEOxy7MnVVz2RGdv4z4rE4v5oah8kYLkljdbClBD1zszCMuiFKACkuR2LHcGmnFhKCJa0IWVLCTajrUj8Tu14ts9Xs69aIRVNxwVNzQIoAT1ciJIMkU4VVCvmKeRlCjntWQKT45P0QfAvvibe3w67TS3L6t/Z9nI7LssWVm9HDyRz4lW4JI9PCX8bAoPAIhDIqq3GlKUrH3WYGlKUpppSlKaaj28fXCzmd8cxuQ7JFU9k/HCZEqU0yyXZN2xB0pduUEIQVuPrtctuJc2m2+p55li5sRWnX5bTbkIGuyT6haVLSod0qSnuopUOx6UfnlAHYj/AL5I93/OVa+ejtvpW28yh5pxtbLjSwlTbrT3wuNrQraVJUkaUFDRT2AJJFV6vFnwE/whyO+u1QnTgOXzJFzxBxSHSxb5Cv8AGmNlaery5MQH97odCPe7CCiH7wtCkpwG+K/pfNXuQ9SsPXd61v5fHbmjUciC4nZFj8qxUsfSuQBMdOe2OOK3HUkkIWaxIIz3thisi5iBP3cnZFdCjyknIEc5AHlWBf1G4AHC+QSRrFalCCnfUOkAE7V2B6fUJJ0Fq+iUFSlfog0rCj7c/bnjn7cgAkc/kAg8fgg/cajv/iAR/EH2P8j9jpSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaU+ah8077fpKKU9akoT6uLQj4loQFKQn4lADvT9YIGthRBCSPuUQEq/UCTXuvh34WuPOXI9uxaOmRHsEPouGY3ZCSVWzHkuF90sPd0t3TIGEuWSKE9b22ZEjyvIjvOoqeFw+R3BlcfhMTXa3ksncgo1K6ngvNYfsUuQrenFH/eTSsOyKNWZyB5HdWrzW7EVWvGZJp3CRqPYsSB5P21IT7OzhVdqs145ovkRYnZJH/c/hqXGvLDGPxeg3S7xerSum9zG2Ikd7SVOM2911CVxn23FSjF1A7Hq/BCz8tjWknYOiEkdlKBSnahqums9khY/a7fZrLBYt1rtUOPb7bb4+kx4USE0mLCYZQFJAjtNpDikklegAAV7TXgXig52sfhz4YzDlG8rYdmWyN7njNulqcQ5esvnLWiw25hISVrabkMOXKSOnpbtcSdKUtDEd9aNyfSTpt/otgdr7AwEH7QydiSrULQR9kuWz2TnjFqwyhSyrLamcRCQE16kMcZb04l4mC1dw2wtqXstmLkNHDbexVvK5jITApFFBRqvcv2m4BZikMTiKMBnnMccKcykd8GHtf+fEZty5jfCtlmB2wcVxX7zkiWlhxqTmt9Yjh+HKSFFHXYLGGIqD3bRKuF0YClSQptMPFd9kWQ3XLcgveV5FOduWRZFdrhf7vcH1LWqfdp8hcyW5KCgoqakT5K5LSElQbZjpaWEq6Eq6Gt8fTnZlXYGytv7TqlH/ZVCNLc6KALeRnJtZK3+lWIsX57DoJAXSPsj57ERV+ZvrT1IvdW+pu7eoF/uQ7gyks1Cs7q7Y/D1lWnhsaew9ndRxsFaCR0VVmmWWftUymNFKUq99RbpSlKaaUpSmmsrfA3f3cc8Xfh4uTSyhb3JmOWM6PSExsl8zGpqVnsFBSLi42QCQod/s7NXQ6pE+GHzP8AhKeH7ySoOf8Ato44S2pIOysZjZwU9u/cPs6BA6uvY2Er6bu1a4/jXrRpu/Z1oBfVsbduQuRx3FKuUl9IcD2TmaVl8nlnkI8a3U/2Ylud+nPUii7M1etvLHW4AeQoa7g4I5WUE8AsKMRcj3IHJ/ClKVhXrZvpSlKaaUpSmmleR8wcR47zNgl4wbJo6jGnJTIt09oMpm2W7RQo2+6wHe6m5LLiihelAOwluR1KHWa9cpXhyeMoZnH3MVk6sV3H5CtNTu1J0DxWK06FJYnB8gMp8MhV0PDIysAddcsUU8ckM0ayxyo0ciOOVZG47lI5+/A8jyPsRqrxybxplHEWZXTCsxhCJcLbJUtqU2laIV7gdQRaL3ZlvHyvdbg9+917cBYlfvWSGZH5s+fEEBJUFJC+yCpKkhZ+iCoDqV/RTtX3VY28Rfh4x/nvEXLVMaZt2VWpDr2J5M2lsvW6Ur4BBmdSFOSLFPb21eYo24hkqk25P5QShQr+8gce5ZxdldwxDMrU7ab3b1IUVnqcgzY7hIavVkcUVMPxnlDTBYccL6tpaCyDrVd1p6M5XpfmGnrR2b20clOxxGWbukam0jFzick5LkWa5ZzWldoxdqcNDGJK9pI4W3FgJ8NYLgGShM5NecD+757eIJuAFWReR2N9Il+rsX923H4ulakEHRGu29/ID7z6D9RO60qDv/b+vAPH+RB/kQfvq3P/AH/ofY/10pSlNNKUpTTSlKU00pSlNNKUpTTSlKU00pSlNNKUpTTSlapBUooT8S0p61NgguJH0U39tKv6BSF/0a77FsXyDNr9bcYxS0y75fru+uPb7bCSlTz7jf8ADKUtxTbMdmP/ACmTJdZjxv491uu2vBPbnhrVYZbNmxKkEFevG80888sixRwwxRhpJJZJWWNI0VneRlRVLEDX6VHdkRFZ3kZVjVVLNIz89iooBLM3B7QoJbg8c65sPw3I89ySy4liVrXdsgv1yXCtsRsqUyhTTanZPWXVNttNQWELkXB55bbNtjtuSJzkdlta02HvD3wLZeBcDi4zbktz75Od/KeX39CW0P3q9rbShwMl1PmN2iNot2mIpTRjsoSp1sOSZYr8T4YPC5ZeBLCq4XBuLeuSL5GQ3kOQp15NvjhaXUWLHUOJJjWxt0JdnTNtzb3NabuU0JKIEC15bB9o7+IjQ2epC09I+i+pI6D9Eq0onsButlfw+9DhsGl/pRueFDvDJVvSirntZdvY+yo76okUsj5O2CFyEisyQBRRrs6fMWLkubW25+y4xduKpvzr2iM8EVoj9RQHjn1H8eoeeR2AAL9XPE5OiNNOPOSG0MspWt51R0hlDbYdWt5WtNIQ0UuKW4UpDa0LJ6VoKqnHtG/FsrxHcroxfE7l7xxPxnNm2rGUNdfumSZI2f8AlDmS2lKSpxhMcIs9iQ8357FuZlbaQu6Sm6kD9qD44UYxbbp4ZuKb43+6a+Q1xeVMotkoKdx2zylllzBoD0TSmskvsfzUZK6ySmxWd1UR0x5lxeECvCSkobG0job6VNIbDTaEjXmNxekEpXI18TjvSPkrQJ1uo+E/o1Jjo4+qW5Kvp27deRNoU5o5BNBSsIBJnHjZQYpbqH0aHcARRM1ghlvRrDqn+P74mIM5PL0M2VkEkxuOuRy9QcpWlBju5KnIs9Ta8DIzxyQY22kNrMM7BTkYIan0ClaWbjpSlZ0a1U6UpSmmlKUpppSlKaays8D1gdyTxdeHu3MhSlQ+TccyFbaQNlOJFWQSj3IBCY1mXIUASVhvSApxTaFXRKqt+yKwM5P4rhlL8ZJh8bYRkV+S8A4tCLnkXueHW9snXZxbE+5vtDR6Qw+pZQlJULUlax/jJzEd7qXicXGyN+xNrU45wCCy2bt/IWWB4J4VqwqyKCAT3s3JVlA3o/2a+3ZcX0S3DnJkKncu/L8tRiCBJj8TiMRjomXkctxeTJIzB2TuVkAVkcFSlKxH1sP0pSlNNKUpTTSlKU00rwnmzgPC+dsZ/IWWwfJuMRLrmP5JBDSb1jc51IC5NvlKCS/Hd6UiZb5fXFuCB0uojqCXE+7UqmZjDYvcGNt4jM0q+Rxl6F4LdK1GssE0bjghlYHhl/VHIpWSJwskbJIqsOqeCGzFJBPGksUqlHRwCGU+4/hzwPI4YfYjVanm7w+Z9wPekxMphCRYpr6RZ8vtrajY7r1DYjF1xa0xpv0hyS1JWPjbbWgpWfDiCOsFKgps6cQpJS42r+Y42QFtr/oLSlX3ValvuM2bKLVOsOS2mBe7Nco/u8+3XFhEuJKbIIKHGHR0dfckSEeU6hQbUkgtpKYpOePZ4ToRl5HwfN98hpSVP4Bd5LSZUJsbP/Ji8y3o8eQnQJMG+SY046J/dSneq19dVvhezmAksZrp/Faz+DZ3lfBc+rnMWrv3GOr3kPl6qdx9FYh89GOysYJu17hi/ObMnqmSziQ1muT3Gr+qxF3dvlAq8yqo5/dKhf8A7XudRaUrnlxn4EqVCmNLjy4b8yNKjrH51l+A+7GltrQNnbT7LiNjaXOnqaK0FKjwViQwKsysCrKxVlYEMrKSGVgfIZSCCD5BBB86sUggkEEEEggjggg8EHn7g+CPsfB0pSlca40pSlNNKUpTTSlKU00pSlNNKUPb1/Z3/u3WnUkkAHfV9kjulf8AmKHwr/qFVP4/bwOf4n2H9ftprWnqpSRvqQ55TidHbTn8x4erSvuc6a+y3264XaZGt1qgTbncJr/usOBb4r8ybLkf5GNEjtuSH1/c02upE+CvZ+5XlHuORcwvvYjjfSHWcRtzkdeTXBjadx58xt6RHslu6VbQIz0q6K1pxDQUFVeWy9g7s3/kBjtr4exkGDcWLp4gxdBeCe/IX3BhrqQDwo9SdgrmKGV1Eb+/H4y9lJfRpQNKQfrk4Iij/AeTgqhPB7QxBPB4541htxJwtn/N2QN49hNoMpuMs/lLIJDa2sdsjHqJ1yufU375I3rVshOSbiToCJsip2eAPDLhnAVjU1aGU3vL7kw0i/5jcGmhcJjbSkFu1W4DZtdgiEKVFtbBCZKghVwkLWkFPseF4Hi/HliiY1hlihY/ZYSFBmFAbbaQtahovyHSkvyZKzordkKWo6AKlJCQn9iHmj6LCtEpPTtWlDQIOge+yBr1Kj0jv2rYx0e+H7b3TdYsvkTHnt3enwcjJETTxJeFIpYsHBMvdXLIGSS/2x2ZlklRRXSSWDUr4La9PDgWJjHZvFSGnK8RxAnysSN7ccDmUk88jt7eDzs96j9JV5yOkJUsq2ekJQoJWVK1odCiAvZBQT8WqiZ9oH7QC28CWufxXxZdWLnzNdoLzNyuDS2pUHjWBLQAq4y2QAh3KJCgRarevqbtqwJdzEVtTbbnnvjo9pnZuPIt54m8Ptwh3zkRxS7bfs9ZRHlY7g61KJAx7Wm7/kfxBxl4h6wWxWnTKuD6iyzXQuV1n3mfOu12mSrjdbpKfuVwuUyQ9OuEufNKlT3Zc6WtT8tx9S1KaLxKGySeoHZO1v4ffhss5uWjvbqHRkrYSN47OH2zaiKTZkqVeO7l4ZAGhxIIaStVdDJkwI5JUWi4iu66vi8+NmjtqtlOmXSLKRXdzTRy0NybxoSh6u3g37uzjMHYjcrZzo59O3ehdoMOPViry2MqhFHbNuMu6zZdxucqRPm3CY/PuUuc+9IlzZs5fVOeXNcU5Jke+kqVcpMoiW8oktJWdV8FKVsZRFjVURQqKAqKo4CIoCqi/hEUBUX2VQAPvrTFLLJM7SSszyOzu8jMzO7uxdmdmJLOzFmZ25diSXZjxwpSlfrXXpSlKaaUpSmmlbuk6B7AFSUglSQCpSwgAEkA/Ee+iekfErSQTW2vRuKeNMh5f5EwzjPF2HJV/wA2vlusNuWlvbUBNxclCfeXW1lsJjW6yQpt2kLcKEsIiSA50uMrQjz3LdahUtX7s0dalSrWLlyzIwVK9arBJZnmcsVBWOGKRmHcD/i54VtVDF423mMhRxWPrT3chkrtTH0KlZe+ezcvTpWrQRR/4nlnljRfI+pgvlmUasLex04icxHg/KuV7jEeRcuVsjZj2p15pKVKxnDWZ1vjPMKJ60Rp17m5C4pLiW/NEeNJSFsuRnXJlK88424/tHGGBYfx5jcYxbBhlgtWP2xkBsExrXCail5/SyFvzXUOypC/iKnnlE6716HWkzqNu6Xfe+dz7rkDqmXys8lSOTnuhxtbtpYqA8k8GDG1asJA8M0Zk/1mvp+6KdO4OlHSvZGwYfTMm3sFVgyEkYUJYzNruyObtKVUEpYy927Igcs6g9pcgKApSlWVqUtKUpTTSlKU00pSlNNKUpTTSuFQKtKAIPUE7T0kKTv1IV213+fcEdtjVc1dZcZrVtgTp7zgbZhwn5Ty1b6W0RmVvOuK0CelCElSiN9h2B+fXK6RozyEBFUsxJ4AUEcsefAUcjknwPuQNPbknwACSfwB5JP8APJ1V3z5wv55nT46lF7NMvf61lJdcb/dBckBtCknoSkqHbZA+Y+HvX5KvrnS3Z86bcHiS7NlzZbpOtl2a9NlufrPnvNg77bVvegop+StHl2cWbluyPAsWJ5gOAOFlmkljBA/xBHUP+HDDxxxrHKRu93bxwZHYD7/AFHuP39uW4X+A9yedK1AKunpBV1FIT0gq31oStJGgfhIWhPV9kOqSySHiEHSsqPCVwLF515IkQMgjSncKxyzvz8leaW5GVJXKdX+SLVCkNbTHkSZzzVwSlXxNx7O+HEp+EKqW29vZPdedxe3cPCJ8ll7cdSrGxCRKzcySzWJfqaKtXgjlmsSJFM8cStKsUpjEMndTqTXrMNWuvdNPIsUYPhQzBm5Y/ZVVWZj9lBPsDrFfR2oAbKfVI7qH9UbP9grUJUogBKu/oSlQH+kQEj8TUx+S+zNwSaVLxTkHK7CFDvBvcCxZFCKteoXEi4/KSCd9itZHps+teKXn2aHKMYOiwZ7gN5b7+W3dIt8x0n6fEzEyoDfp6ipWyvw49YcWzAbTfJRLzxZxeRxlqJgOP0wG2l8fyamCfsNVufaWegYj5H1lHs0E8L8/wDhJUjj+vPn244MbXfW9EfrBH7CAa16VfzF/wCgr/ZWb8z2e3iNiOfva24ZcUfWBlbDH7Lla4x/trof+AV4mf8AoRj/AP5yxj/+VWnL0i6pxMUbp7u5iPumCycifb2eCpOre/nkrx7Dk88eE4HNKe1sVe8ceRXkYHyOeCgkHgE+5H5/PGHwSo9wlR/UCf7ga2gg+hCv8whf/p3WbcT2fPiQlOfnrRiFvb+s/MIb/wCy222Sfw1+vdehWj2aXLkjf5aznj+0f9jVkV//ALrbi/8Av6du1e6n0R6tXmUV9hbg5b/Dbqfsv8e8mUanCv3/AFSD+n3/AGm3c5IeExdtfyZUWID29i7Dn788e33/ACY5elXca+IfoDu5/wCENuf6tbSQD0kpCx/FFSQ9+DJIdP4IqYbGfZl4nGU25l/JeRXdAB6oWO2i24031EfORLlZE+e/0V3PzG9jJrEPBp4e8LDbsHj2FfZzaSBOzCVIyd1RPzMS7rlWgEem025OvUHY3Ui4P4UeqWTaM5RMNtyJvL/P5BbsqKOC3amHXIKzj7K7xhueA4Ibir1tkZmfj1vlqan3aWX1W/pHEOff37io4++oF8L41z/kGSIuEYfkGTqH8JJttsku26P3/ld2Whu1wj/2uYz+NZ5cY+zezu7qjz+VcigYlB1tyw4+4xf8gWd6IcuDjhstsOu46JeUg9hsbOpgoVvg2yGxFt8WFb4MdOmI0GIxEjMJUkgpjsMJZYZST30pLgPcH03XbpeaWNpWFD7t9u2+/bt2+tZDbO+EnY+IaG5unIZDdduMdwhHGGxQZuSVarWlmyDheF/vMosM4/vqY7FAumjsfGV2DXJ5bsg94ufQh8AEkxo7St/DukHABPB55HiXFPh84v4chhrCMThQbopgMSckm9FxyecOgAiXfX0qkLQV7PkR24kAa+G3gEa9lU42kklWkpHUsklSgCVfD0q0WwdepCU9u42CR0+VZlieDWWZkmZ5JZcVsFubLs69X+4xbTbIqACdvTZrjMdBOjpJc61HQSkkgGGzxHe1647xNEzGvDzYV8gZIzuM7md/iyrdhdpkqaSkKt1veEO/36Q2r4UNPR8et6QOoS3N6Oa/TbpDuDc4r4LpztIDHVisRfH1YMXgsdyO/ut30SvSgPY3qsjyPYnHLRwzSvw9vdSOsfSzopiVu733JisAvpPLQwsJWxmsiF5XjGYSr33Zy8vZEbHox0Y3ZfmrddeH1Lbyhy/xtw1iszM+TMttGJ4/BBC5dzeWHZLvwkxbZb2G5Fyu847BRb7VDmznBsojqAURW+8YPtPs15kZufH/AAsLnx3xnJVLh3K7qdLGaZhEfT0q97lx1E2G0PhSwu0QXVynEqUmRcXISjbKjx5b5r5N5zyhzMOVcyu2XXZa1BpExQbtlniqWSYOP2VChbLZCOytTduRan1KI6pJOyfKa2O9I/ha2zsl6ud3c8G69zwmKaCKSAnb+KnXslWWnTsp3ZCzFIAYruRiQwuiyV6FOwgmOnj4ivjw3r1Rhu7V6fRWNibIsCetbsR2ON2Z+q/EckN+/VlMWJoToCJMdipZHnjd47eSt15Pl03J0FqI8vTiir84gjy1/wCVdUjrU4fp0hRA9AK20pWVoHH9AB59+FHao59+FUKqqPpVVHABLE4AM7MAG48c8HgA8cAAEj3ACjgfYlj+pmJUpSudfnSlKU00pSlNNKUrcpKkpUojaU9RUpJC0hCftOEoKh5Kf0nt+UkdysCn/P8AtA/3kD+ZA1yAT7An+Q59/bWgSSSNaIWWzv4fzg7+WOrW3CgealA2pTGn0gskOVYk9kj4U3sUsU/xMZpbC1fMujP2njGJLZWX7bij62E3vI2SVaaOSzEpt1qU4WZJsUGS+yhcS9uuOxyeAXwZXbxP8iM3rJob8Th3CZkdzMp4S+j90c4FLjeEWZ9KAfebgCUZZNSkvWy0lMVhTUl1gVbFgWdizwLdbLRAjQLdao0KDb7dGQ0zDhQoLKIsaFEabUlLUSLEaDMRoJSGypKilPQAnBv4sescNOjJ0u29bjlv5BYpN3WYG5+QxzKtithu9O4i3keIpr0aEiCiY68pka3LHFtP/s/vhsnyeWh65bwx8keIxEjpsCjajI/aeYj/AHU+5DGwUtQxDCaLFyFCJ8qhtwESYyEz/oaUpWvPW5DSlKU00pSlNNKUpTTSlKU00pSlNNK8A8S2VJw7gflW+glt5vDrrbYqSroV73fi3YYXlH16/NnsuJHyKgpZSkEj3+ozvaRZ2m2cdYjx+w50SswyUXe4NpcCVCzYvHU+vzfQFmTeZVrbbSVBTq4DwbQ4lpakRz1a3Eu1enW7s0X7Hgwd6rVPcFJyORVcfjQCWXt4u2YHZvPbGjk8HhlpWbtilib9nu7WWs6Rnnj97NxDFweR575AeORyAfxyIatjp18+rf4arbSmjsjSuoJUrpCSVdI+yekDZD/8l0P33/JfOrTr7e/5A/qfYfzP21AmuaPHkTH48WIw7JlSnWGIsZhtb0iQ/K6RGYYZbCnXX5C3GmWGUJU67IfjxkJU/IYbcsQeFbhBPCPFdss8+O0vLb84jIMwlNqaWDeJaSlq2ocStSVR7FDS1BSpl1yM+8qZJYW62+neCPgJ8OS77co/OGYQlqslleWeP7dIZ6TcL8lKzLykpV8Tlsg9ZdsC3EtoVdpEmWyVx4EBxyY/Xpvvr0AGv7yfw9K2A/Cp0qlxVGbqLnK5ju5iqau3K0qlJa2HlKPPlGXubtkykkaCkR2yJj4hOGIyHZFKOysKYI2y9hCss6mOmjr9UdclfUlYEfqnZPoAAKQn3Yv3DWlKVmfq/wDStND6D+wVrSmmlKUpprhMhka2v17DSVHf9gPp8/odj1BrrbrkFjsUF+53u726zW2KjzJNxustm3QI7ff43pktbMZtI13K3RrsDrY3+M5NwObyLhl7xOJlmV4JMusMx4eXYVdUWfKrDJ18E21z/KkMlSD2U3IjLSpOwQT0KTVJ8Z/hl8SnCmRv3DljJMs5WwmVcSLFynNu1/vltltBRCbffVTps6RiuQLIXqK+97osaMd55A6kzL0f6X4Pqhk3xN/fdHa2SV1+Wxc+Mkt3cpD9BdsbNNdx+PlnTmRWqNaFrhBNFDNEzenjR8RfXfdPQvBx7gxfSrK76w7Qn53N08vHRx2Bsl1VFy9eHH5LIrWZWUpeWCLHtMwqz3akpiM9gzlP2ifhL4tQ81M5QgZleYyAlqz8bw3MylyFEn7N1gNqxlAP/XX5r1HSO2qi65k9s3nV4TJtXBfHVuwyGrUZvKs7fayHIEtAAe9QscgEY/b1kgny5s6+gk92/TUJxCglaekBB0QkgJbSkp8wrWoNMdCEo35jiiENn4XFJPwnirPLZ/wpdKtttHYylS9u+9Dx+8ztkiirqWHKYqjHSrNHySDBfN8Ap9Y557tTHUb4/wDr7vVZqWFyWL6fYuTuT5falRhkjF2qEWTN5Ga9bglRu5vVxH7LUt4CADtHqXJ/NXKfNF4F95Rz7JszuPmhxpV4mEwLenfdq02aOpFqtaCOxTAix0qBIPavL/g0kJH1SQUpbaSddnVBslSjv5AFX13W2lZH0aVLGVYaOOqVaFKvGsUFSnXhrVoUUKO2KGFEjjU9oJWNVQH9KqAAML8rmctnL1nKZrJXsvk7krT3Mjk7di9etzsfM1m3aklnnk8AAySMBwSACzllKUr1apulKUpppSlKaaUpSmmlK3dKgQCCknuAr4Sf1dWt06FdXQQEr0T5aiEuFKftLS2ohakJ9FOJSUJPZShXHI/I/wAx+Cf9wJ/kD+NfoKzEBVYkjkAAkkfkcDyP4jxoULSVgoUOhKVrPSdJbWSEuk615JIP54Hyh81is0vB54M898VuXstw0zMe42skxlzM+QXYp8mM0goMm04004nyrnf7t8RXES2/Ct6dquKowKUuZG+Df2Yudc1O2zPeZmLjx1xWXY9wjW1xl2NmmZBISXPcYT60LxCzJIITepTSJ75/gbcU/nkWUMLwDG+OsWtOGYPj1vxnGrFEYiWuz2htEaIw210glel+ZKffCQqdKlLdfkqBWtbzqlKViB1z+JrF7Sgt7X2HarZjdbrJXt5iuUs4vbpYGKTsZg0GSyyMS0cMfqVaTDutyPPDLRfY18K3wO57qDZob66rUru39gq8dmht+xHJUzm741IZO+JvSsYzAzMAz2mMNzJ1mAx/owyLkV67jTirD+IsJx7j3j+wxsdxXGoTUSBAjeSVuFKQZEybI6A7Pus9xJdn3GSvz3nl+YFfDXqFKVrWtWrN6zYuXbE9u5amksWrVmV5rNmeZ2klmnmkLSSyySMzySOzO7MWYkknW7jH4+jiqVTG4ypXoY+hWgpUaVOGOvVqVK0axV61avCqRQwwxqEijjRVRAqKAioqqUpXRr2aUpSmmlKUpppSlKaaUpSmmlKUpprjLqAdEnewNBC1HagCANJO+xBOvQbJ1o6rv+MTk8coc55TMhPiRYcTScOsvx+ZHW1Y5D6J09nX2kyb/NmO+alOnWCx0KcS31CXjxcczo4b4ivNwgSQxluSoXjOJJSopfTcLiyETrq03o/DZber3/qJSVP+7xWPMlymI7teTZWNuLBSpSQDs+a+lTwllpTjnd16Y/oJUCrr3sEisFvi934pXC9PaUvc4kTP50ISAiBZYcRUk4bk+q7WLEqMOFiStYIUSwMI431kxxXxMbjuJW3b7Tz2pyRAjID3clWMxUjkkRMOFPDAlR10pUoFaWwoJUUF1z+Ca6wCjzX9fvdvq65H8Qlyst/Cn4Y7rzvkSL3e2JNu4vsU9KL1cEJdQ/kk9hXS7YrHJJHmeYrtepDPXGsSgG23kOqQhXc+GLwg5LzZOi5TlsedjnGUcqDlwUh2FdcsbWT12+xsPBIRAfAPn3txpAiEatjzg2ROfjeK2bEbFbMbxy0QrNY7PDYgW6128LaiRY7BJbQ2kubV9omTIc6pM5zqclFaieuxug3w+3N22KW795U3rbUiZbGOxliMx2NxujrLDJIvJaLBK6KZWkCtlyghihOPlad6ftna7XWjv5GJo6SMrwwMeHtMOeGYdvKwD7kAF+76XHaTr7rXZoVlt0G0WmFHt9rtkWNCgQIbaGYsSJDSluJFjtpICGmGkhB2NntraSpKe6pStj0cSQoscahI0VUSNQFREQBVVEUBUVVCqFUABVAA8alYKFAVQAFUKAAAAqjgAAcDwP4aUpSuzXOlKUpppSlKaaV+YvGPQcjtU+y361W672q5QxCn2q6xY9xts9hSCVMzIEkux3WQsgKbUFKX0JJd/Sr9PSuUZ43SWOSSKSJ1kjkido5EdSGR0kQq8bowDJIjK8bgOjK6qw6poYrEbwzxpNDIkkUsUqK8csUqlJI5EYEMkkbMjqfDIzKwIJGqx/tP/B3xN4eWcL5I4si3HGWs9yi52e54kiQLhYLXMh2ZV8YueOe9rMq0qDza4qLeRMgstrSYLlqSVoMP9WF/bcXVCcQ4CsoWkOS8kz26Brv1dNqt+OQlOencITdiPXa+pQbCuheq9Fbe/hvzGaz3SDbGTz+QuZW/M+XhW7fcy2ZKlHMXsfUjadh3zLXhqCuHdnYtG/exk7zr50PjU23tfaXxD7zwW0cRj8Hiq1fbtlsZi4kr0YbuT29jMpekr1Yj6FRLNm7JYWtWSGrGsoMEESMAVCQk6UpKfh6trUlCdf5yiE7+7e/upXtHB3A3KHiHy2Rg/FFjZvOQxbJIyOS1IuqLJBYgxXY7DqnZctaIbYL0uO2y2t9LsguoEZt7uBM+RyWPxFKzk8rdq47G0o2nuXrs61q1aFOO+SaaTiKNAOSXkdFXjzz9saMJg8vuTK0cHgcZfzGYydiOpj8ZjK0ly9csy89kNatEDJNI3B7Y0Bdv8IPB14xo638t6/GtKyizHwVeK3AnFnJOBuQ0R29Fcyy2VWVwE79CZ+KO3qEB/wB/od9nsax8ueKZTZFrRecZyG0Kb+3+VLJc7eB/WlxWUn8FGvHjNxbfzUSzYbO4bLQv+iXGZSlfibkcjtkqzyo3I8+CfHnVQzezN4baleDce1dx4GePy8OaweTxcsYAXnvjvVYHX9Q8kD3H5BPQUrTqSDorQk/01oR/61JFciELcV0MpMhWt6jfvnt/3HmCqwSAOSQB+SeB/n7at3039ux+fbjtPv8Aj21srUjX2lJSf5q1pQs/PshRCz+CT+yv2lh415GypxDWMcf5vkS3PsCx4nf7qk/14NvfQP6yhWUODez48ZGcOtfk7hDKcfiL+JU3NJMHBosUdz8Ua/S4d5d38vKiLG+/b529lt3bWwMby5rcuBxMcYJc5HLUKbcjj6FWxZiLOQfCjz7cA8gG8Nu9Ot/btlSHbGyd27hlkK+muF29lMiGDEgEvWqvGiHg/vHkVFAPJ48jCrR+EjuFgqbKfiDiR6qb6d+Yn70dQ++hHShTiyENoUELcWpKG21H0Di1EJb/AFrKR99ThcYexX5EuS48vmDljH8Xikhx6z4NAkZVdHGfnAcu1+RabPblAnZcRZsla0OyidGpOuGPZx+FrhdyFc7fx+3muUwBuPlPIr6consL6T3ttsc93xuznZI3bbJFUO2l63UEbt+K/pVttZYcZcv7uyKeBXwdR0ohvp4WXL3/AJWmUHJ9SaiMh28AxRTgntyv6e/2f3Xvej1585jMf0+xUhQyWt0XImyLRdwEhgwmLa7cSUA/u4sm2LDeWZ0Uea33AHgn8Q3iLejv4VhE2x4g++C5neVOTccw1lrQ+K3ynWDcL50jRUmzRp6k9ysNoG6sD+F72ZfDPh/cg5RkjbXKXJUcpfZyC/2+OjHrFKA2FY1iK1SrfFkskJ8nIJzs6/tKClQZNtC+kSLiD5TaI7DCG2UMlppKS2lLACOkBLaUoKQoEpPluaIJKk7rtqwu6lfEt1A6hJaxlaYbU25OGjbGYeaRbd2tIvY0eUy3EduyJFBE8EXycEvI9ar4QDZp0S+CTpH0jlqZvI1ZN/7yrGKdc7uWvDJRpXECMLGIwR9epTmjkRJYbVufK368o769+Ny6jrkRVo2AB0nevjUBvQAUEp6UhOh/BdIR9/c77GlKx5449vA8ngew5JJ4H5JJJJ5JJ8ngADMkADk+eSeWJJLMeAO5mPLM3aAvLEnhQPtpSlKa50pSlNNKUpTTSlKU00pSlNNKUpTTSvguF1ttpgTLpc5sa3223sOyp8+Y6mPDhxWEFx+TJkulLLEdhtKlvvuLS0yhK1uLSlKiPvrwrmPiK58x2mJiFwy2445gz6kO5XbrH+Zv2VMsqR0WR69E9Fqs0wAm6txYsh6WkeU2ttK1k0vM2slUx1qfEY9crkVhcUqL2EqRT224WAWLbhlrVVdu+zMI5HSFXaKOWQLE/VYeWOCR4IvXmA/dxF1jDMf+szeAB9/Y/wAdQqc/cpZV4pOY/Iw62Xq+2q3OSLDgFgtsVyVLdsyJHRJvi46ASzNvagq4omSg01GZatsZ9xl1h1pGafh79n3FsyoOW82+7Xa4jchnj6C80u0RVrB62cluMd51q/pX282zRnhal73OuN57is9uN+HOP+JLQqzcf4rbcfYeAM2aw2h28XN7v++bteHkrn3N8diETHHmAobR0gq6vVgAB2H+/wCNY77O+Hej+3rm+Op96HeO7Mjc/aU1RIHi29TtOyyovy84MmVWl2RQ0luBKVavDDAKJ+WrNDadHacXzMmQzMq5C9NK07IFPykUjHlR2SFvmGhXhIy6LEqjgRklifgiwmYTLUaHGZiRo7aGIzEZtlmOyykdKWmo7SUtMsoASEpbAV0gdtgA9hSlZNKioAqgKoVVVVACqqKFVVAAAUAeAPAJPAHOrx+wA4AA4AAAAA9gAAABpSlK/WmlKUpppSlKaaUpSmmlKVw+8NfF3WOggK206BtQBGiUaVsEd07G/h+0CK45HIHI5PsPufIHj+pA/mQPvpqtZ7aLMGrtzlxfhLD/AF/uR46l3eQ2OoBi45dkMpttDgICeuRBx1l3YUelsNqcKQ611w0Vlf42+U0cx+KbmTNIjwlWkZY5jFgfQorY/IWDxYWLW1+OFBKwzclwnbkfgBDs90uAK6wMUikhKlnXSkkKPUnSB8lr7/C2v+KdVpt7Y8pS91uo6P7fk2t0y2Rg50Mdmrt6hPbiKlWguZINkrkL8gd7LcuykyAKr+ooC9wJb5jfiP3fBv3rl1O3RTk9ejd3ZkKeNnUlknxmG9PCY2eMdz9qWKeOikjUMeFPA8DgChQAJSQFNpdHb9BRUkKP0+JDiFA6UlbTyFALZdSi057Lfw0r4V4SGf5RbXIfIfL6I15kNyWfKnWTDmVKdxizFp1XXFektOfluWw4W5DTcq2RJcdiZbn2mIlvZw+DqR4g+RU8gZva/wD3PceXW2y7kmahxETM8ngy0TrNi0MqShyTEaeEe55QWfMaaYTDgPrTJuzzSLVYihICUtqCEkKSAWk9JDJaSlsBQCEIbAQEgAd0qG9K3ib8XnViKWOPpZhLKyHvgvbvngfyqr2z4zChl7lWRpPRyN+IuAiCgvqnutQpsD/s7vh6sQWJuu+6KLwp8taxnT2vZjIeQ2A9PMblVWWN1hNdrWDx8hDCYS5SyIjAtOw/IqOrpISlv4gN9kBRI33US2pJ7H5N/jXyTLbHkteU9b4kxBBBRIQwsD8HWXUj0A2PQV29KwKBYHuV3V/+ursG/h7Ht8fY8eAPGtthjjZSrIGU+O1ixXj8Be4KAfvwBz9/tr8c5gWGvbL2JYy4Pouw2pR+fzMU/wB/4D58sfCsTjnbGK48wfqzZrWyfu0Wo4I1+uv1lK9BuXCO03LRX24NiXgjx7ju/gNeL9k4wHkY+kp/IrQ/bj8oQPbnwBrr2Y6ko6VMtoCBpCSErI+ulggj1+ny/Ua3oiqSkhZQo/LtvXfZ7uJcI3939n1+2leYjkqSSe3jtBP0gj7hBwvJ+57de4Ko+w+/n7+eOeeOOeeB+rnSlKVzr9aUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaVhp42+d2/D74cc/zNmSWcouVuOK4SHiEOryrIxIiW15kpKk9ViYVLvzpcLTYj21bSnPPU00vMP3tjah1naCQoFtwEEFII0Ub9VoI0O6VoUNpUkmrF7UvxNNc08ytcbYncRL4/4dfuNvTLjOh+BfsylqZj5HcVKSAlyPbXfLx2HIWn3dbkK7S4T7sKcxIfmjoJ07m6j9RMRRkgMuDw8seb3BIU7o/kabo8VMsWUF8lYaGmIwS/y81iyqFazMuMvxadZK3Rno5uHKV7ny+6txwTbY2dCj8WDmMjE0cuRQAFlTBUvmMq0jKIvmK1WrIwe3GjxcK6iVLcVpIHWVEqK1q873pxt15ekh6RI+0txXc9yrXplr4SPCVnfit5CTZLK27Z8JssuG7neeORguLYYjxT1w7co/vWblV53uyWged+Tm9u3FuK2kk+m+DzwAcoeJq4QcjusWbgfEceSl2dmcyIlMq+p6keZasNgTUhyesJCuq8yI4syR8CZrjiksuWkeJ+H8I4Swez8ecb43Ex/GbM0lLMdlTSpM2Usj8o3O7yg0h253S5KQl+TcJKnJMtxXS4qIEILebPXj4jsZsKpd2xs+1Vym9ZlaCaWAR2qG2w8So81sqZIJMtGg9KpjgJBVdUnviEKak2r34UfgzznVm/j979RKV/CdNYJorUFe0klXJ71VZFlWtSDcWa+DmlTvvZc+mLcTPWxskzl7UHNxfxViXDeCY7xxx9Ym7Ji2MwI8G3w2HG1OOqStTkubOedKlSJ1xlPvTrjNWVvvOuPBCUhqKhXqdKVrFtWrV61ZvXrM9y5cnks2rVmRprFixM5klmmmfmSWWV2LySSMzuxLMSSSd5+Ox1DEUKWKxdOvj8bjqtejQo1Ikgq06dSFIK1WvBGFjiggijVIo0UBEAReI1RVUpSujXt0pSlNNKUpTTSlKU00pSlNNKUpTTSlKU00pSlNNKUpTTSlKU00pSlNNKUpTTSlKU00pSlNNKUpTTSlKU00pSlNNKUpTTSlKU01gn4v8Akvl5nFH+JfDlil/ybl/PYT0FN6hRFxbBxtjM5PlXbJ7zkd0cg2e33IxVPRsfhOTkXJuQ/wC/+7MpiQ0ysS/DJ7I7CsHkxMw8Q86JyflLRRKj4bEU67gVumB5Ehbtyel+53PLnnHQpS4txZh2HZUlVpdSvqExxakkqKmkqSNJQkKQpR6R9skltIC+4IJX09h0dO9dlUlYfqluXa+1bO1NovHtuHKSetn81jyw3DmWCGOKtJlW7ZqNCojMlatjlrsgmtCS5aFy4JYOz/QTZe+N/wBbqB1DSbetnCRpW2htvLRqu0dswfRLYsxYPvlhy+Wv21+Zu5DLmeMiGhBWoVI8fWC9LEtbFtiswrbBiwYkOOmPCiRWmY0aM2hGkMxmmPLbjsJPwhDbQ3vq0K7qlKjYkszMzMzMe5mdizMT7ksxJJP3JJJ1NyRxxKscSJHGiqiRxqEREUcKqovCqFHgcDnjgEkKoClKVxr96UpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUpppSlKaaUpSmmlKUppr/9k=" } diff --git a/agent/templates/interpreter.json b/agent/templates/interpreter.json index d5892786..7f31dfe0 100644 --- a/agent/templates/interpreter.json +++ b/agent/templates/interpreter.json @@ -4,540 +4,472 @@ "description": "A translation agent based on a reflection agentic workflow, inspired by Andrew Ng's project: https://github.com/andrewyng/translation-agent\n\n1. Prompt an LLM to translate a text into the target language.\n2. Have the LLM reflect on the translation and provide constructive suggestions for improvement.\n3. Use these suggestions to improve the translation.", "canvas_type": "chatbot", "dsl": { - "answer": [], - "components": { - "Answer:TinyGamesGuess": { - "downstream": [], - "obj": { - "component_name": "Answer", - "params": { - "inputs": [], - "message_history_window_size": 22, - "output_var_name": "output", - "post_answers": [], - "query": [] - } - }, - "upstream": [ - "Generate:ChubbyCougarsRush" - ] - }, - "Generate:ChubbyCougarsRush": { - "downstream": [ - "Answer:TinyGamesGuess" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "frequency_penalty": 0.7, - "inputs": [], - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 0, - "message_history_window_size": 12, - "output_var_name": "output", - "parameters": [ - { - "component_id": "begin@lang", - "id": "73f48a67-b78f-4bcd-8326-a83c31073ab9", - "key": "target_lang" - }, - { - "component_id": "begin@file", - "id": "c9142975-25b3-4199-8fce-aa0bc29a31f2", - "key": "source_text" - }, - { - "component_id": "Generate:RichWordsDeny", - "id": "6c824b2a-fe3b-4336-95b5-e85f676bef39", - "key": "translation_1" - }, - { - "component_id": "Generate:SlimyFrogsArgue", - "id": "f3bd4569-4852-43fa-b80a-e0dd27dd9e1c", - "key": "reflection" - } - ], - "presence_penalty": 0.4, - "prompt": "Your task is to carefully read, then edit, a translation to {target_lang}, taking into\naccount a list of expert suggestions and constructive criticisms.\n\nThe source text, the initial translation, and the expert linguist suggestions are delimited by XML tags , and \\\nas follows:\n\n\n{source_text}\n\n\n\n{translation_1}\n\n\n\n{reflection}\n\n\nPlease take into account the expert suggestions when editing the translation. Edit the translation by ensuring:\n\n(i) accuracy (by correcting errors of addition, mistranslation, omission, or untranslated text),\n(ii) fluency (by applying {target_lang} grammar, spelling and punctuation rules and ensuring there are no unnecessary repetitions), \n(iii) style (by ensuring the translations reflect the style of the source text)\n(iv) terminology (inappropriate for context, inconsistent use), or\n(v) other errors.\n\nOutput only the new translation and nothing else.", - "query": [], - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Generate:SlimyFrogsArgue" - ] - }, - "Generate:RichWordsDeny": { - "downstream": [ - "Generate:SlimyFrogsArgue" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "frequency_penalty": 0.7, - "inputs": [], - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 0, - "message_history_window_size": 12, - "output_var_name": "output", - "parameters": [ - { - "component_id": "begin@lang", - "id": "a36e78fb-b431-4ae6-afa8-77839587fcf8", - "key": "lang" - }, - { - "component_id": "begin@file", - "id": "f8a704b7-693b-4480-aa9a-da4a83250059", - "key": "file" - } - ], - "presence_penalty": 0.4, - "prompt": "Role: You are a professional translator proficient in {lang}, with an exceptional ability to convert specialized academic papers into accessible popular science articles. Please assist me in translating the following paragraph into {lang}, ensuring that its style resembles that of popular science articles in {lang}.\n\nRequirements & Restrictions:\n - Use Markdown format to output.\n - DO NOT overlook any details.\n\n\n\n{file}\n\n", - "query": [], - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "begin" - ] - }, - "Generate:SlimyFrogsArgue": { - "downstream": [ - "Generate:ChubbyCougarsRush" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "frequency_penalty": 0.7, - "inputs": [], - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 0, - "message_history_window_size": 12, - "output_var_name": "output", - "parameters": [ - { - "component_id": "begin@lang", - "id": "b2f5e7ec-7f77-485f-af15-461d0f1ca913", - "key": "target_lang" - }, - { - "component_id": "begin@file", - "id": "fbc44092-9f9e-4e85-b5b1-dbd808239d3d", - "key": "source_text" - }, - { - "component_id": "Generate:RichWordsDeny", - "id": "c253af54-61d4-40f3-9990-604e2212506f", - "key": "translation_1" - } - ], - "presence_penalty": 0.4, - "prompt": "Your task is to carefully read a source text and a translation to {target_lang}, and then give constructive criticisms and helpful suggestions to improve the translation. \n\nThe source text and initial translation, delimited by XML tags and , are as follows:\n\n\n{source_text}\n\n\n\n{translation_1}\n\n\nWhen writing suggestions, pay attention to whether there are ways to improve the translation's \n(i) accuracy (by correcting errors of addition, mistranslation, omission, or untranslated text),\n(ii) fluency (by applying {target_lang} grammar, spelling and punctuation rules, and ensuring there are no unnecessary repetitions),\n(iii) style (by ensuring the translations reflect the style of the source text and take into account any cultural context),\n(iv) terminology (by ensuring terminology use is consistent and reflects the source text domain; and by only ensuring you use equivalent idioms {target_lang}).\n\nWrite a list of specific, helpful and constructive suggestions for improving the translation.\nEach suggestion should address one specific part of the translation.\nOutput only the suggestions and nothing else.", - "query": [], - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Generate:RichWordsDeny" - ] - }, - "begin": { - "downstream": [ - "Generate:RichWordsDeny" - ], - "obj": { - "component_name": "Begin", - "params": { - "inputs": [], - "message_history_window_size": 22, - "output": {}, - "output_var_name": "output", - "prologue": "", - "query": [ - { - "key": "lang", - "name": "Target Language", - "optional": false, - "type": "line", - "value": "" - }, - { - "key": "file", - "name": "Files", - "optional": false, - "type": "file", - "value": "" - } - ] - } - }, - "upstream": [] - } - }, - "embed_id": "", - "graph": { - "edges": [ - { - "id": "reactflow__edge-begin-Generate:RichWordsDenyc", - "markerEnd": "logo", - "source": "begin", - "sourceHandle": null, - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:RichWordsDeny", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:RichWordsDenyb-Generate:SlimyFrogsArguec", - "markerEnd": "logo", - "source": "Generate:RichWordsDeny", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:SlimyFrogsArgue", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:SlimyFrogsArgueb-Generate:ChubbyCougarsRushc", - "markerEnd": "logo", - "source": "Generate:SlimyFrogsArgue", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:ChubbyCougarsRush", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:ChubbyCougarsRushb-Answer:TinyGamesGuessc", - "markerEnd": "logo", - "source": "Generate:ChubbyCougarsRush", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:TinyGamesGuess", - "targetHandle": "c", - "type": "buttonEdge" - } - ], - "nodes": [ - { - "data": { - "form": { - "prologue": "", - "query": [ - { - "key": "lang", - "name": "Target Language", - "optional": false, - "type": "line", - "value": "" - }, - { - "key": "file", - "name": "Files", - "optional": false, - "type": "file", - "value": "" - } - ] - }, - "label": "Begin", - "name": "begin" - }, - "dragging": false, - "height": 128, - "id": "begin", - "position": { - "x": -383.5, - "y": 143.5 - }, - "positionAbsolute": { - "x": -383.5, - "y": 143.5 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "beginNode", - "width": 200 - }, - { - "data": { - "form": { - "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": [ - { - "component_id": "begin@lang", - "id": "a36e78fb-b431-4ae6-afa8-77839587fcf8", - "key": "lang" - }, - { - "component_id": "begin@file", - "id": "f8a704b7-693b-4480-aa9a-da4a83250059", - "key": "file" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "Role: You are a professional translator proficient in {lang}, with an exceptional ability to convert specialized academic papers into accessible popular science articles. 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Please assist me in translating the following paragraph into {begin@lang}, ensuring that its style resembles that of popular science articles in {begin@lang}.\n\nRequirements & Restrictions:\n - Use Markdown format to output.\n - DO NOT overlook any details.\n\n\n\n{begin@file}\n\n", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "begin" + ] + }, + "begin": { + "downstream": [ + "Generate:VastKeysKick" + ], + "obj": { + "component_name": "Begin", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "prologue": "", + "query": [ + { + "key": "lang", + "name": "Target Language", + "optional": false, + "type": "line" + }, + { + "key": "file", + "name": "Files", + "optional": false, + "type": "file" + } + ] + } + }, + "upstream": [] + } + }, + "embed_id": "", + "graph": { + "edges": [ + { + "id": "xy-edge__begin-Generate:VastKeysKickc", + "markerEnd": "logo", + "source": "begin", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:VastKeysKick", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Generate:VastKeysKickb-Generate:ShinySquidsSneezec", + "markerEnd": "logo", + "source": "Generate:VastKeysKick", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:ShinySquidsSneeze", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Generate:FuzzyEmusWorkb-Answer:TinyGamesGuessc", + "markerEnd": "logo", + "source": "Generate:FuzzyEmusWork", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:TinyGamesGuess", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Generate:ShinySquidsSneezeb-Generate:FuzzyEmusWorkc", + "markerEnd": "logo", + "source": "Generate:ShinySquidsSneeze", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:FuzzyEmusWork", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + } + ], + "nodes": [ + { + "data": { + "form": { + "prologue": "", + "query": [ + { + "key": "lang", + "name": "Target Language", + "optional": false, + "type": "line" + }, + { + "key": "file", + "name": "Files", + "optional": false, + "type": "file" + } + ] + }, + "label": "Begin", + "name": "begin" + }, + "dragging": false, + "height": 128, + "id": "begin", + "measured": { + "height": 128, + "width": 200 + }, + "position": { + "x": -383.5, + "y": 142.62256327439624 + }, + "positionAbsolute": { + "x": -383.5, + "y": 143.5 + }, + "selected": true, + "sourcePosition": "left", + "targetPosition": "right", + "type": "beginNode", + "width": 200 + }, + { + "data": { + "form": {}, + "label": "Answer", + "name": "Interact_0" + }, + "dragging": false, + "height": 44, + "id": "Answer:TinyGamesGuess", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": 645.5056004454161, + "y": 182.98193827439627 + }, + "positionAbsolute": { + "x": 688.5, + "y": 183.859375 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": { + "text": "Translation Agent: Agentic translation using reflection workflow\n\nThis is inspired by Andrew NG's project: https://github.com/andrewyng/translation-agent\n\n1. Prompt an LLM to translate a text into the target language;\n2. Have the LLM reflect on the translation and provide constructive suggestions for improvement;\n3. Use these suggestions to improve the translation." + }, + "label": "Note", + "name": "Brief" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 227, + "id": "Note:MoodyKnivesCheat", + "measured": { + "height": 227, + "width": 703 + }, + "position": { + "x": 46.02198421645994, + "y": -267.69527832581736 + }, + "positionAbsolute": { + "x": 46.02198421645994, + "y": -267.69527832581736 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 227, + "width": 703 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 703 + }, + { + "data": { + "form": { + "text": "Many businesses use specialized terms that are not widely used on the internet and that LLMs thus don’t know about, and there are also many terms that can be translated in multiple ways. For example, ”open source” in Spanish can be “Código abierto” or “Fuente abierta”; both are fine, but it’d better to pick one and stick with it for a single document.\n\nYou can add those glossary translation into prompt to any of `Translate directly` or 'Reflect'." + }, + "label": "Note", + "name": "Tip: Add glossary " + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 181, + "id": "Note:SourCarrotsAct", + "measured": { + "height": 181, + "width": 832 + }, + "position": { + "x": 65.0676250238289, + "y": 397.6323270065299 + }, + "positionAbsolute": { + "x": 65.0676250238289, + "y": 397.6323270065299 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 181, + "width": 832 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 832 + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": false, + "max_tokens": 256, + "message_history_window_size": 1, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You are a professional translator proficient in {begin@lang}, with an exceptional ability to convert specialized academic papers into accessible popular science articles. Please assist me in translating the following paragraph into {begin@lang}, ensuring that its style resembles that of popular science articles in {begin@lang}.\n\nRequirements & Restrictions:\n - Use Markdown format to output.\n - DO NOT overlook any details.\n\n\n\n{begin@file}\n\n", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Translate directly" + }, + "dragging": false, + "id": "Generate:VastKeysKick", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": -132.6338674989604, + "y": 153.70663786774483 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": false, + "max_tokens": 256, + "message_history_window_size": 1, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Your task is to carefully read a source text and a translation to {begin@lang}, and then give constructive criticisms and helpful suggestions to improve the translation. \n\nThe source text and initial translation, delimited by XML tags and , are as follows:\n\n\n{begin@file}\n\n\n\n{Generate:VastKeysKick}\n\n\nWhen writing suggestions, pay attention to whether there are ways to improve the translation's \n(i) accuracy (by correcting errors of addition, mistranslation, omission, or untranslated text),\n(ii) fluency (by applying {begin@lang} grammar, spelling and punctuation rules, and ensuring there are no unnecessary repetitions),\n(iii) style (by ensuring the translations reflect the style of the source text and take into account any cultural context),\n(iv) terminology (by ensuring terminology use is consistent and reflects the source text domain; and by only ensuring you use equivalent idioms {begin@lang}).\n\nWrite a list of specific, helpful and constructive suggestions for improving the translation.\nEach suggestion should address one specific part of the translation.\nOutput only the suggestions and nothing else.", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Reflect" + }, + "dragging": false, + "id": "Generate:ShinySquidsSneeze", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": 121.1675336631696, + "y": 152.92865408917177 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": false, + "max_tokens": 256, + "message_history_window_size": 1, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Your task is to carefully read, then edit, a translation to {begin@lang}, taking into\naccount a list of expert suggestions and constructive criticisms.\n\nThe source text, the initial translation, and the expert linguist suggestions are delimited by XML tags , and \nas follows:\n\n\n{begin@file}\n\n\n\n{Generate:VastKeysKick}\n\n\n\n{Generate:ShinySquidsSneeze}\n\n\nPlease take into account the expert suggestions when editing the translation. Edit the translation by ensuring:\n\n(i) accuracy (by correcting errors of addition, mistranslation, omission, or untranslated text),\n(ii) fluency (by applying {begin@lang} grammar, spelling and punctuation rules and ensuring there are no unnecessary repetitions), \n(iii) style (by ensuring the translations reflect the style of the source text)\n(iv) terminology (inappropriate for context, inconsistent use), or\n(v) other errors.\n\nOutput only the new translation and nothing else.", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Improve" + }, + "dragging": false, + "id": "Generate:FuzzyEmusWork", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": 383.1474420163898, + "y": 152.0472805236579 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" + } + ] + }, + "history": [], + "messages": [], + "path": [], + "reference": [] + }, 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" } diff --git a/agent/templates/investment_advisor.json b/agent/templates/investment_advisor.json index e920aadd..eec6031b 100644 --- a/agent/templates/investment_advisor.json +++ b/agent/templates/investment_advisor.json @@ -4,568 +4,640 @@ "description": "An intelligent investment advisor that answers your financial questions using real-time domestic financial data.", "canvas_type": "chatbot", "dsl": { - "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": { - "obj": { - "component_name": "AkShare", - "params": { - "top_n": 10 - } - }, - "downstream": [ - "Generate:RottenPianosUnite" - ], - "upstream": [ - "KeywordExtract:BreezyGoatsRead" - ] - }, - "Answer:NeatLandsWave": { - "obj": { - "component_name": "Answer", - "params": {} - }, - "downstream": [ - "WenCai:TenParksOpen", - "KeywordExtract:BreezyGoatsRead" - ], - "upstream": [ - "begin", - "Generate:RottenPianosUnite" - ] - }, - "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" - } - ], - "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" - ] - }, - "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" - ] + "answer": [], + "components": { + "AkShare:CalmHotelsKnow": { + "downstream": [ + "Generate:SolidAreasRing" + ], + "obj": { + "component_name": "AkShare", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [], + "top_n": 10 } }, - "graph": { - "nodes": [ - { - "data": { - "form": { - "prologue": "Hi there!" - }, - "label": "Begin", - "name": "Opening" - }, - "dragging": false, - "height": 44, - "id": "begin", - "position": { - "x": -521.8118264317484, - "y": -27.999467037576665 - }, - "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" - } - ], - "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", - 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"message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "prologue": "Hi there!", + "query": [] + } + }, + "upstream": [] + } + }, + "embed_id": "", + "graph": { + "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": { + 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" } diff --git a/agent/templates/medical_consultation.json b/agent/templates/medical_consultation.json index c6b228ff..de7493dd 100644 --- a/agent/templates/medical_consultation.json +++ b/agent/templates/medical_consultation.json @@ -6,558 +6,205 @@ "dsl": { "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" ], + "obj": { + "component_name": "Answer", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "post_answers": [], + "query": [] + } + }, "upstream": [ "begin", - "Generate:SolidCrewsStare" + "Generate:BrightCitiesSink" ] }, - "Generate:QuietMelonsHear": { + "Generate:BrightCitiesSink": { + "downstream": [ + "Answer:FlatRavensPush" + ], "obj": { "component_name": "Generate", + "inputs": [], + "output": null, "params": { "cite": true, + "debug_inputs": [], "frequency_penalty": 0.7, + "inputs": [], "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 256, + "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!", + "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{Retrieval:BeigeBagsDress}\n\nPubMed content provided\n\n{PubMed:TwentyFansShake}", + "query": [], "temperature": 0.1, "top_p": 0.3 } }, - "downstream": [ - "Retrieval:BeigeBagsDress" - ], "upstream": [ - "Answer:FlatRavensPush" + "Retrieval:BeigeBagsDress", + "PubMed:TwentyFansShake" ] }, "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", + "inputs": [], + "output": null, "params": { - "cite": true, + "cite": false, + "debug_inputs": [], "frequency_penalty": 0.7, + "inputs": [], "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" - }, - { - "component_id": "Retrieval:BeigeBagsDress", - "id": "d2e7b0e2-e222-4776-988c-db239581a083", - "key": "kb_input" - } - ], + "message_history_window_size": 1, + "output": null, + "output_var_name": "output", + "parameters": [], "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 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!", + "query": [], "temperature": 0.1, "top_p": 0.3 } }, - "downstream": [ - "Answer:FlatRavensPush" - ], "upstream": [ - "PubMed:TwentyFansShake", + "Answer:FlatRavensPush" + ] + }, + "Generate:QuietMelonsHear": { + "downstream": [ "Retrieval:BeigeBagsDress" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": true, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "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 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!", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Answer:FlatRavensPush" + ] + }, + "PubMed:TwentyFansShake": { + "downstream": [ + "Generate:BrightCitiesSink" + ], + "obj": { + "component_name": "PubMed", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "email": "928018077@qq.com", + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [ + { + "component_id": "Generate:FortyBaboonsRule", + "type": "reference" + } + ], + "top_n": 10 + } + }, + "upstream": [ + "Generate:FortyBaboonsRule" ] }, "Retrieval:BeigeBagsDress": { + "downstream": [ + "Generate:BrightCitiesSink" + ], "obj": { "component_name": "Retrieval", + "inputs": [], + "output": null, "params": { + "debug_inputs": [], + "empty_response": "", + "inputs": [], "kb_ids": [], "keywords_similarity_weight": 0.3, + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [ + { + "component_id": "Generate:QuietMelonsHear", + "type": "reference" + } + ], + "rerank_id": "", "similarity_threshold": 0.2, + "top_k": 1024, "top_n": 8 } }, - "downstream": [ - "Generate:SolidCrewsStare" - ], "upstream": [ "Generate:QuietMelonsHear" ] + }, + "begin": { + "downstream": [ + "Answer:FlatRavensPush" + ], + "obj": { + "component_name": "Begin", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "prologue": "Hi! I'm your smart assistant. What can I do for you?", + "query": [] + } + }, + "upstream": [] } }, + "embed_id": "", "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 - }, - "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" - } - ], - "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": 172, - "id": "Generate:SolidCrewsStare", - "position": { - "x": 427.0382682049008, - "y": -221.26975391424511 - }, - "positionAbsolute": { - "x": 427.0382682049008, - "y": -221.26975391424511 - }, - "selected": true, - "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": "Search Q&A" - }, - "dragging": false, - "height": 44, - "id": "Retrieval:BeigeBagsDress", - "position": { - "x": 382.25527986090765, - "y": 35.38705653631584 - }, - "positionAbsolute": { - "x": 382.25527986090765, - "y": 35.38705653631584 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "retrievalNode", - "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: Interface" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 162, - "id": "Note:RedZebrasEnjoy", - "position": { - "x": -374.13983303471906, - "y": 219.54112331790157 - }, - "positionAbsolute": { - "x": -374.13983303471906, - "y": 219.54112331790157 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 162, - "width": 200 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 200 - }, - { - "data": { - "form": { - "text": "Translate user's question to English by LLM." - }, - "label": "Note", - "name": "N: Translate to English" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 128, - "id": "Note:DarkIconsClap", - "position": { - "x": -0.453362859534991, - "y": 357.3687792184929 - }, - "positionAbsolute": { - "x": -0.453362859534991, - "y": 357.3687792184929 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 128, - "width": 204 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 204 - }, - { - "data": { - "form": { - "text": "Translate user's question to Chinese by LLM." - }, - "label": "Note", - "name": "N: Translate to Chinese" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 128, - "id": "Note:SmallRiversTap", - "position": { - "x": -5.453362859535048, - "y": -105.63122078150693 - }, - "positionAbsolute": { - "x": -5.453362859535048, - "y": -105.63122078150693 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 128, - "width": 196 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 196 - }, - { - "data": { - "form": { - "text": "PubMed® comprises more than 37 million citations for biomedical literature from MEDLINE, life science journals, and online books. 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": { - "x": 776.4332169584197, - "y": 32.89802610798361 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 128, - "width": 387 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 387 - }, - { - "data": { - "form": { - "text": "A prompt summarize content from search result from PubMed and Q&A dataset." - }, - "label": "Note", - "name": "N: LLM" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 128, - "id": "Note:BeigeCoinsBuild", - "position": { - "x": 756.9053449234701, - "y": -212.92342186138177 - }, - "positionAbsolute": { - "x": 756.9053449234701, - "y": -212.92342186138177 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "noteNode", - "width": 269 - } - ], "edges": [ { "id": "reactflow__edge-begin-Answer:FlatRavensPushc", @@ -611,32 +258,6 @@ "targetHandle": "c", "type": "buttonEdge" }, - { - "id": "reactflow__edge-PubMed:TwentyFansShakeb-Generate:SolidCrewsStareb", - "markerEnd": "logo", - "source": "PubMed:TwentyFansShake", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:SolidCrewsStare", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Retrieval:BeigeBagsDressb-Generate:SolidCrewsStareb", - "markerEnd": "logo", - "source": "Retrieval:BeigeBagsDress", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:SolidCrewsStare", - "targetHandle": "b", - "type": "buttonEdge" - }, { "id": "reactflow__edge-Generate:QuietMelonsHearb-Retrieval:BeigeBagsDressc", "markerEnd": "logo", @@ -651,9 +272,37 @@ "type": "buttonEdge" }, { - "id": "reactflow__edge-Generate:SolidCrewsStarec-Answer:FlatRavensPushc", + "id": "xy-edge__Retrieval:BeigeBagsDressb-Generate:BrightCitiesSinkb", "markerEnd": "logo", - "source": "Generate:SolidCrewsStare", + "source": "Retrieval:BeigeBagsDress", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:BrightCitiesSink", + "targetHandle": "b", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__PubMed:TwentyFansShakeb-Generate:BrightCitiesSinkb", + "markerEnd": "logo", + "source": "PubMed:TwentyFansShake", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:BrightCitiesSink", + "targetHandle": "b", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Generate:BrightCitiesSinkc-Answer:FlatRavensPushc", + "markerEnd": "logo", + "source": "Generate:BrightCitiesSink", "sourceHandle": "c", "style": { "stroke": "rgb(202 197 245)", @@ -661,7 +310,469 @@ }, "target": "Answer:FlatRavensPush", "targetHandle": "c", - "type": "buttonEdge" + "type": "buttonEdge", + "zIndex": 1001 + } + ], + "nodes": [ + { + "data": { + "label": "Begin", + "name": "opening" + }, + "dragging": false, + "height": 44, + "id": "begin", + "measured": { + "height": 44, + "width": 100 + }, + "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", + "query": [ + { + "component_id": "Generate:FortyBaboonsRule", + "type": "reference" + } + ], + "top_n": 10 + }, + "label": "PubMed", + "name": "Search PubMed" + }, + "dragging": false, + "height": 44, + "id": "PubMed:TwentyFansShake", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": 388.4151716305788, + "y": 272.51398951401995 + }, + "positionAbsolute": { + "x": 389.7229173847695, + "y": 276.4372267765921 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": {}, + "label": "Answer", + "name": "Interface" + }, + "dragging": false, + "height": 44, + "id": "Answer:FlatRavensPush", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": -277.4280835723395, + "y": 162.89713236919926 + }, + "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", + "measured": { + "height": 86, + "width": 200 + }, + "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": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 1, + "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", + "measured": { + "height": 86, + "width": 200 + }, + "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": { + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "query": [ + { + "component_id": "Generate:QuietMelonsHear", + "type": "reference" + } + ], + "similarity_threshold": 0.2, + "top_n": 8 + }, + "label": "Retrieval", + "name": "Search Q&A" + }, + "dragging": false, + "height": 44, + "id": "Retrieval:BeigeBagsDress", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": 316.9462115194757, + "y": 57.81358887451738 + }, + "positionAbsolute": { + "x": 382.25527986090765, + "y": 35.38705653631584 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "retrievalNode", + "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: Interface" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 162, + "id": "Note:RedZebrasEnjoy", + "measured": { + "height": 162, + "width": 200 + }, + "position": { + "x": -274.75115571622416, + "y": 233.92632661399952 + }, + "positionAbsolute": { + "x": -374.13983303471906, + "y": 219.54112331790157 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 162, + "width": 200 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 200 + }, + { + "data": { + "form": { + "text": "Translate user's question to English by LLM." + }, + "label": "Note", + "name": "N: Translate to English" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:DarkIconsClap", + "measured": { + "height": 128, + "width": 227 + }, + "position": { + "x": -2.0308204014422273, + "y": 379.60045703973515 + }, + "positionAbsolute": { + "x": -0.453362859534991, + "y": 357.3687792184929 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 204 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 227 + }, + { + "data": { + "form": { + "text": "Translate user's question to Chinese by LLM." + }, + "label": "Note", + "name": "N: Translate to Chinese" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:SmallRiversTap", + "measured": { + "height": 128, + "width": 220 + }, + "position": { + "x": -2.9326060127226583, + "y": -99.3117253460485 + }, + "positionAbsolute": { + "x": -5.453362859535048, + "y": -105.63122078150693 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 196 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 220 + }, + { + "data": { + "form": { + "text": "PubMed® comprises more than 37 million citations for biomedical literature from MEDLINE, life science journals, and online books. 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", + "measured": { + "height": 220, + "width": 287 + }, + "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", + "measured": { + "height": 128, + "width": 387 + }, + "position": { + "x": 776.4332169584197, + "y": 32.89802610798361 + }, + "positionAbsolute": { + "x": 776.4332169584197, + "y": 32.89802610798361 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 128, + "width": 387 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 387 + }, + { + "data": { + "form": { + "text": "A prompt summarize content from search result from PubMed and Q&A dataset." + }, + "label": "Note", + "name": "N: LLM" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 140, + "id": "Note:BeigeCoinsBuild", + "measured": { + "height": 140, + "width": 281 + }, + "position": { + "x": 293.89948660403513, + "y": -238.31673896113236 + }, + "positionAbsolute": { + "x": 756.9053449234701, + "y": -212.92342186138177 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode", + "width": 281 + }, + { + "data": { + "form": { + "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": [], + "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{Retrieval:BeigeBagsDress}\n\nPubMed content provided\n\n{PubMed:TwentyFansShake}", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "LLM" + }, + "dragging": false, + "id": "Generate:BrightCitiesSink", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": 300, + "y": -86.3689104694316 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" } ] }, diff --git a/agent/templates/research_report.json b/agent/templates/research_report.json index 126967b7..4fbf1fe3 100644 --- a/agent/templates/research_report.json +++ b/agent/templates/research_report.json @@ -6,184 +6,40 @@ "dsl": { "answer": [], "components": { - "begin": { - "obj": { - "component_name": "Begin", - "inputs": [], - "params": { - "prologue": "", - "query": [ - { - "key": "title", - "name": "Title", - "optional": false, - "type": "line", - "value": "" - }, - { - "key": "language", - "name": "Language", - "optional": false, - "type": "line", - "value": "" - } - ] - } - }, - "downstream": [ - "Generate:SmoothTeamsJoke" - ], - "upstream": [] - }, - "Generate:SmoothTeamsJoke": { - "obj": { - "component_name": "Generate", - "inputs": [], - "params": { - "cite": false, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 256, - "message_history_window_size": 1, - "parameters": [ - { - "component_id": "begin@title", - "id": "00bd69b8-6bda-48b5-9cbf-08c899d46d82", - "key": "title" - }, - { - "component_id": "begin@language", - "id": "8d06024c-c87e-4fc2-bdb5-40ac1a2d2aa2", - "key": "language" - } - ], - "presence_penalty": 0.4, - "prompt": "\n\nGenerate a series of appropriate search engine queries to break down questions based on user inquiries\n\n\n\n\nInput: User asks how to learn programming\nOutput: programming learning methods, programming tutorials for beginners\n\n\n\nInput: User wants to understand latest technology trends \nOutput: tech trends 2024, latest technology news\n\n\n\nInput: User seeks healthy eating advice\nOutput: healthy eating guide, balanced nutrition diet\n\n\n\n\n1. Take user's question as input.\n2. Identify relevant keywords or phrases based on the topic of user's question.\n3. Use these keywords or phrases to make search engine queries.\n4. Generate a series of appropriate search engine queries to help break down user's question.\n5. Ensure output content does not contain any xml tags.\n6. The output must be pure and conform to the style without other explanations.\n7. Break down into at least 4-6 subproblems.\n8. Output is separated only by commas.\n\n\n\ntitle：{title}\nlanguage：{language}\nThe output must be pure and conform to the style without other explanations.\nOutput is separated only by commas.\nBreak down into at least 4-6 subproblems.\n\nOutput:", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "downstream": [ - "Generate:RedAliensLive", - "Iteration:BlueClothsGrab" - ], - "upstream": [ - "begin" - ] - }, "Answer:WittyBottlesJog": { + "downstream": [], "obj": { "component_name": "Answer", "inputs": [], - "params": {} - }, - "downstream": [], - "upstream": [ - "Template:LazyMasksFollow" - ] - }, - "Generate:RedAliensLive": { - "obj": { - "component_name": "Generate", - "inputs": [], + "output": null, "params": { - "cite": false, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "message_history_window_size": 1, - "parameters": [ - { - "component_id": "Generate:SmoothTeamsJoke", - "id": "c16dcf28-9525-4ad7-a9ac-c72565306af3", - "key": "query" - }, - { - "component_id": "begin@title", - "id": "b1d43b2e-5c4d-4e6f-86b9-4d9dc303ae19", - "key": "title" - }, - { - "component_id": "begin@language", - "id": "7b95cef3-f9ba-4ab1-9be7-df6e39639f4d", - "key": "language" - } - ], - "presence_penalty": 0.4, - "prompt": "According to query: '{query}'，for '{title}', generate 3 to 5 sub-titles.\n\n\nPlease generate 4 subheadings for the main title following these steps:\n - 1. Carefully read the provided main title and related content\n - 2. Analyze the core theme and key information points of the main title\n - 3. Ensure the generated subheadings maintain consistency and relevance with the main title\n - 4. Each subheading should:\n - Be concise and appropriate in length\n - Highlight a unique angle or key point\n - Capture readers' interest\n - Match the overall style and tone of the article\n - 5. Between subheadings:\n - Content should not overlap\n - Logical order should be maintained\n - Should collectively support the main title\n - Use numerical sequence (1, 2, 3...) to mark each subheading\n - 6. Output format requirements:\n - Each subheading on a separate line\n - No XML tags included\n - Output subheadings content only\n\n\nlanguage：{language}\nGenerate a series of appropriate sub-title to help break down '{title}'.\nBreaks down complex topics into manageable subtopics.\n\nOutput:", - "temperature": 0.1, - "top_p": 0.3 + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "post_answers": [], + "query": [] } }, - "downstream": [ - "Iteration:ThreeParksChew" - ], "upstream": [ - "Generate:SmoothTeamsJoke" + "Template:LegalDoorsAct" ] }, - "Template:LazyMasksFollow": { - "obj": { - "component_name": "Template", - "inputs": [], - "params": { - "content": "

{title}

\n\n{sections}", - "parameters": [ - { - "component_id": "begin@title", - "id": "fe6f99aa-5bd8-4de7-aefd-e6645ad3ab4c", - "key": "title" - }, - { - "component_id": "Iteration:ThreeParksChew", - "id": "2d6b43fd-3512-482e-8329-2d4d7c16a19f", - "key": "sections" - } - ] - } - }, - "downstream": [ - "Answer:WittyBottlesJog" - ], - "upstream": [ - "Iteration:ThreeParksChew" - ] - }, - "Iteration:BlueClothsGrab": { - "obj": { - "component_name": "Iteration", - "inputs": [], - "params": { - "delimiter": ",", - "query": [ - { - "component_id": "Generate:SmoothTeamsJoke", - "type": "reference" - } - ] - } - }, - "downstream": [], - "upstream": [ - "Generate:SmoothTeamsJoke" - ] - }, - "IterationItem:RudeTablesSmile": { - "obj": { - "component_name": "IterationItem", - "inputs": [], - "params": {} - }, - "downstream": [ - "Baidu:MeanBroomsMatter" - ], - "upstream": [], - "parent_id": "Iteration:BlueClothsGrab" - }, "Baidu:MeanBroomsMatter": { + "downstream": [ + "Generate:YoungClownsKnock" + ], "obj": { "component_name": "Baidu", "inputs": [], + "output": null, "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", "query": [ { "component_id": "IterationItem:RudeTablesSmile", @@ -193,155 +49,473 @@ "top_n": 10 } }, - "downstream": [ - "Generate:FruityGrapesLook" - ], + "parent_id": "Iteration:BlueClothsGrab", "upstream": [ "IterationItem:RudeTablesSmile" - ], - "parent_id": "Iteration:BlueClothsGrab" + ] }, - "Generate:FruityGrapesLook": { + "Generate:EveryCoinsStare": { + "downstream": [ + "Generate:RedWormsDouble", + "Iteration:BlueClothsGrab" + ], "obj": { "component_name": "Generate", "inputs": [], + "output": null, "params": { "cite": false, + "debug_inputs": [], "frequency_penalty": 0.7, + "inputs": [], "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 2048, + "max_tokens": 256, "message_history_window_size": 1, - "parameters": [ - { - "component_id": "begin@language", - "id": "3af930e7-4b51-452a-ab32-cefabfab44ce", - "key": "language" - }, - { - "component_id": "Baidu:MeanBroomsMatter", - "id": "59062b99-fe21-4e98-b95c-83c7f6fe1d97", - "key": "search_res" - }, - { - "component_id": "IterationItem:RudeTablesSmile", - "id": "2728ed42-cf38-4904-a366-cc11726830ec", - "key": "item" - } - ], + "output": null, + "output_var_name": "output", + "parameters": [], "presence_penalty": 0.4, - "prompt": "Your goal is to provide answers based on information from the internet. \nYou must use the provided search results to find relevant online information. \nYou should never use your own knowledge to answer questions.\nPlease include relevant url sources in the end of your answers.\n\n{search_res}\nlanguage：{language}\n \"{search_res}\" \nUsing the above information, answer the following question or topic: \"{item} \"\nin a detailed report — The report should focus on the answer to the question, should be well structured, informative, in depth, with facts and numbers if available, a minimum of 1,200 words and with markdown syntax and apa format. Write all source urls at the end of the report in apa format. You should write your report only based on the given information and nothing else.", + "prompt": "\n\nGenerate a series of appropriate search engine queries to break down questions based on user inquiries\n\n\n\n\nInput: User asks how to learn programming\nOutput: programming learning methods, programming tutorials for beginners\n\n\n\nInput: User wants to understand latest technology trends \nOutput: tech trends 2024, latest technology news\n\n\n\nInput: User seeks healthy eating advice\nOutput: healthy eating guide, balanced nutrition diet\n\n\n\n\n1. Take user's question as input.\n2. Identify relevant keywords or phrases based on the topic of user's question.\n3. Use these keywords or phrases to make search engine queries.\n4. Generate a series of appropriate search engine queries to help break down user's question.\n5. Ensure output content does not contain any xml tags.\n6. The output must be pure and conform to the style without other explanations.\n7. Break down into at least 4-6 subproblems.\n8. Output is separated only by commas.\n\n\n\ntitle: {begin@title}\nlanguage: {begin@language}\nThe output must be pure and conform to the style without other explanations.\nOutput is separated only by commas.\nBreak down into at least 4-6 subproblems.\n\nOutput:", + "query": [], "temperature": 0.1, "top_p": 0.3 } }, + "upstream": [ + "begin" + ] + }, + "Generate:RealLoopsVanish": { + "downstream": [ + "Template:SpottyWaspsLose" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 0, + "message_history_window_size": 1, + "output": null, + "output_var_name": "output", + "parameters": [], + "presence_penalty": 0.4, + "prompt": "In a detailed report — The report should focus on the answer to {IterationItem:OliveStatesSmoke}and nothing else.\n\n\nLanguage: {begin@language}\nContext as bellow: \n\n\"{Iteration:BlueClothsGrab}\"\n\nProvide the research report in the specified language, avoiding small talk.\nThe main content is provided in markdown format\nWrite all source urls at the end of the report in apa format. ", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "parent_id": "Iteration:ThreeParksChew", + "upstream": [ + "IterationItem:OliveStatesSmoke" + ] + }, + "Generate:RedWormsDouble": { + "downstream": [ + "Iteration:ThreeParksChew" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 0, + "message_history_window_size": 1, + "output": null, + "output_var_name": "output", + "parameters": [], + "presence_penalty": 0.4, + "prompt": "According to query: ' {Generate:EveryCoinsStare}'，for ' {begin@title}', generate 3 to 5 sub-titles.\n\n\nPlease generate 4 subheadings for the main title following these steps:\n - 1. Carefully read the provided main title and related content\n - 2. Analyze the core theme and key information points of the main title\n - 3. Ensure the generated subheadings maintain consistency and relevance with the main title\n - 4. Each subheading should:\n - Be concise and appropriate in length\n - Highlight a unique angle or key point\n - Capture readers' interest\n - Match the overall style and tone of the article\n - 5. Between subheadings:\n - Content should not overlap\n - Logical order should be maintained\n - Should collectively support the main title\n - Use numerical sequence (1, 2, 3...) to mark each subheading\n - 6. Output format requirements:\n - Each subheading on a separate line\n - No XML tags included\n - Output subheadings content only\n\n\nlanguage: {begin@language}\nGenerate a series of appropriate sub-title to help break down ' {begin@title}'.\nBreaks down complex topics into manageable subtopics.\n\nOutput:", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Generate:EveryCoinsStare" + ] + }, + "Generate:YoungClownsKnock": { "downstream": [], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 0, + "message_history_window_size": 1, + "output": null, + "output_var_name": "output", + "parameters": [], + "presence_penalty": 0.4, + "prompt": "Your goal is to provide answers based on information from the internet. \nYou must use the provided search results to find relevant online information. \nYou should never use your own knowledge to answer questions.\nPlease include relevant url sources in the end of your answers.\n{Baidu:MeanBroomsMatter}\n\n\n\n\n\nlanguage: {begin@language}\n\n\n \" {Baidu:MeanBroomsMatter}\" \n\n\n\n\nUsing the above information, answer the following question or topic: \" {IterationItem:RudeTablesSmile} \"\nin a detailed report — The report should focus on the answer to the question, should be well structured, informative, in depth, with facts and numbers if available, a minimum of 1,200 words and with markdown syntax and apa format. Write all source urls at the end of the report in apa format. You should write your report only based on the given information and nothing else.", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "parent_id": "Iteration:BlueClothsGrab", "upstream": [ "Baidu:MeanBroomsMatter" - ], - "parent_id": "Iteration:BlueClothsGrab" + ] }, - "Iteration:ThreeParksChew": { + "Iteration:BlueClothsGrab": { + "downstream": [], "obj": { "component_name": "Iteration", "inputs": [], + "output": null, "params": { - "delimiter": "\n", + "debug_inputs": [], + "delimiter": ",", + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", "query": [ { - "component_id": "Generate:RedAliensLive", + "component_id": "Generate:EveryCoinsStare", "type": "reference" } ] } }, - "downstream": [ - "Template:LazyMasksFollow" - ], "upstream": [ - "Generate:RedAliensLive" + "Generate:EveryCoinsStare" ] }, - "IterationItem:OliveStatesSmoke": { - "obj": { - "component_name": "IterationItem", - "inputs": [], - "params": {} - }, + "Iteration:ThreeParksChew": { "downstream": [ - "Generate:EagerFliesTrade" + "Template:LegalDoorsAct" ], - "upstream": [], - "parent_id": "Iteration:ThreeParksChew" - }, - "Generate:EagerFliesTrade": { "obj": { - "component_name": "Generate", + "component_name": "Iteration", "inputs": [], + "output": null, "params": { - "cite": false, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "message_history_window_size": 1, - "parameters": [ + "debug_inputs": [], + "delimiter": "\n", + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [ { - "component_id": "begin@language", - "id": "3e17849a-902d-48a2-8ba9-673cedc21f82", - "key": "language" - }, - { - "component_id": "Iteration:BlueClothsGrab", - "id": "afa356ff-bc38-4363-b933-54e00562e89e", - "key": "context" - }, - { - "component_id": "IterationItem:OliveStatesSmoke", - "id": "3e79ca4b-bfbb-4ae3-80ae-a1812b97223b", - "key": "sub_title" - } - ], - "presence_penalty": 0.4, - "prompt": "in a detailed report — The report should focus on the answer to {sub_title}and nothing else.\nlanguage：{language}\ncontext：{context}\n\nProvide the research report in the specified language, avoiding small talk.\nThe main content is provided in markdown format\nWrite all source urls at the end of the report in apa format. ", - "temperature": 0.1, - "top_p": 0.3 - } - }, - "downstream": [ - "Template:SaltyMasksItch" - ], - "upstream": [ - "IterationItem:OliveStatesSmoke" - ], - "parent_id": "Iteration:ThreeParksChew" - }, - "Template:SaltyMasksItch": { - "obj": { - "component_name": "Template", - "inputs": [], - "params": { - "content": "

{subtitle}

\n
{content}
\n", - "parameters": [ - { - "component_id": "IterationItem:OliveStatesSmoke", - "id": "3ccd05b1-afcd-4632-b48c-30c4fa0b7a70", - "key": "subtitle" - }, - { - "component_id": "Generate:EagerFliesTrade", - "id": "004ae762-9a1e-4466-b3d5-6b03e0d300ad", - "key": "content" + "component_id": "Generate:RedWormsDouble", + "type": "reference" } ] } }, - "downstream": [], "upstream": [ - "Generate:EagerFliesTrade" + "Generate:RedWormsDouble" + ] + }, + "IterationItem:OliveStatesSmoke": { + "downstream": [ + "Generate:RealLoopsVanish" ], - "parent_id": "Iteration:ThreeParksChew" + "obj": { + "component_name": "IterationItem", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [] + } + }, + "parent_id": "Iteration:ThreeParksChew", + "upstream": [] + }, + "IterationItem:RudeTablesSmile": { + "downstream": [ + "Baidu:MeanBroomsMatter" + ], + "obj": { + "component_name": "IterationItem", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [] + } + }, + "parent_id": "Iteration:BlueClothsGrab", + "upstream": [] + }, + "Template:LegalDoorsAct": { + "downstream": [ + "Answer:WittyBottlesJog" + ], + "obj": { + "component_name": "Template", + "inputs": [], + "output": null, + "params": { + "content": "

{begin@title}

\n\n\n\n{Iteration:ThreeParksChew}", + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "parameters": [], + "query": [] + } + }, + "upstream": [ + "Iteration:ThreeParksChew" + ] + }, + "Template:SpottyWaspsLose": { + "downstream": [], + "obj": { + "component_name": "Template", + "inputs": [], + "output": null, + "params": { + "content": "

{IterationItem:OliveStatesSmoke}

\n
{Generate:RealLoopsVanish}
", + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "parameters": [], + "query": [] + } + }, + "parent_id": "Iteration:ThreeParksChew", + "upstream": [ + "Generate:RealLoopsVanish" + ] + }, + "begin": { + "downstream": [ + "Generate:EveryCoinsStare" + ], + "obj": { + "component_name": "Begin", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "prologue": "", + "query": [ + { + "key": "title", + "name": "Title", + "optional": false, + "type": "line" + }, + { + "key": "language", + "name": "Language", + "optional": false, + "type": "line" + } + ] + } + }, + "upstream": [] } }, "embed_id": "", "graph": { + "edges": [ + { + "id": "reactflow__edge-Baidu:SharpHotelsNailb-Generate:RealCamerasSendb", + "markerEnd": "logo", + "source": "Baidu:SharpHotelsNail", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:RealCamerasSend", + "targetHandle": "b", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "reactflow__edge-Generate:BeigeEyesFlyb-Template:ThinSnailsDreamc", + "markerEnd": "logo", + "source": "Generate:BeigeEyesFly", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Template:ThinSnailsDream", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "reactflow__edge-IterationItem:RudeTablesSmile-Baidu:MeanBroomsMatterc", + "markerEnd": "logo", + "source": "IterationItem:RudeTablesSmile", + "sourceHandle": null, + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Baidu:MeanBroomsMatter", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Generate:EveryCoinsStareb-Generate:RedWormsDoublec", + "markerEnd": "logo", + "source": "Generate:EveryCoinsStare", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:RedWormsDouble", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__begin-Generate:EveryCoinsStarec", + "markerEnd": "logo", + "source": "begin", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:EveryCoinsStare", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Generate:RedWormsDoubleb-Iteration:ThreeParksChewc", + "markerEnd": "logo", + "source": "Generate:RedWormsDouble", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Iteration:ThreeParksChew", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Generate:EveryCoinsStareb-Iteration:BlueClothsGrabc", + "markerEnd": "logo", + "source": "Generate:EveryCoinsStare", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Iteration:BlueClothsGrab", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Baidu:MeanBroomsMatterb-Generate:YoungClownsKnockb", + "markerEnd": "logo", + "source": "Baidu:MeanBroomsMatter", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:YoungClownsKnock", + "targetHandle": "b", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__IterationItem:OliveStatesSmoke-Generate:RealLoopsVanishc", + "markerEnd": "logo", + "source": "IterationItem:OliveStatesSmoke", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:RealLoopsVanish", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Generate:RealLoopsVanishb-Template:SpottyWaspsLoseb", + "markerEnd": "logo", + "source": "Generate:RealLoopsVanish", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Template:SpottyWaspsLose", + "targetHandle": "b", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Iteration:ThreeParksChewb-Template:LegalDoorsActc", + "markerEnd": "logo", + "source": "Iteration:ThreeParksChew", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Template:LegalDoorsAct", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Template:LegalDoorsActb-Answer:WittyBottlesJogc", + "markerEnd": "logo", + "source": "Template:LegalDoorsAct", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:WittyBottlesJog", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + } + ], "nodes": [ { "data": { @@ -352,15 +526,13 @@ "key": "title", "name": "Title", "optional": false, - "type": "line", - "value": "" + "type": "line" }, { "key": "language", "name": "Language", "optional": false, - "type": "line", - "value": "" + "type": "line" } ] }, @@ -375,8 +547,8 @@ "width": 200 }, "position": { - "x": -185.67257819905137, - "y": 108.15225637884839 + "x": -231.29149905979648, + "y": 95.28494230291383 }, "positionAbsolute": { "x": -185.67257819905137, @@ -388,60 +560,6 @@ "type": "beginNode", "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": 1, - "parameters": [ - { - "component_id": "begin@title", - "id": "00bd69b8-6bda-48b5-9cbf-08c899d46d82", - "key": "title" - }, - { - "component_id": "begin@language", - "id": "8d06024c-c87e-4fc2-bdb5-40ac1a2d2aa2", - "key": "language" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "\n\nGenerate a series of appropriate search engine queries to break down questions based on user inquiries\n\n\n\n\nInput: User asks how to learn programming\nOutput: programming learning methods, programming tutorials for beginners\n\n\n\nInput: User wants to understand latest technology trends \nOutput: tech trends 2024, latest technology news\n\n\n\nInput: User seeks healthy eating advice\nOutput: healthy eating guide, balanced nutrition diet\n\n\n\n\n1. Take user's question as input.\n2. Identify relevant keywords or phrases based on the topic of user's question.\n3. Use these keywords or phrases to make search engine queries.\n4. Generate a series of appropriate search engine queries to help break down user's question.\n5. Ensure output content does not contain any xml tags.\n6. The output must be pure and conform to the style without other explanations.\n7. Break down into at least 4-6 subproblems.\n8. Output is separated only by commas.\n\n\n\ntitle：{title}\nlanguage：{language}\nThe output must be pure and conform to the style without other explanations.\nOutput is separated only by commas.\nBreak down into at least 4-6 subproblems.\n\nOutput:", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "GenQuery" - }, - "dragging": false, - "height": 190, - "id": "Generate:SmoothTeamsJoke", - "measured": { - "height": 190, - "width": 200 - }, - "position": { - "x": 65.8240107033929, - "y": 77.859375 - }, - "positionAbsolute": { - "x": 65.8240107033929, - "y": 77.859375 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "generateNode", - "width": 200 - }, { "data": { "form": {}, @@ -456,8 +574,8 @@ "width": 200 }, "position": { - "x": 1461.7745767525992, - "y": 237.9248108743051 + "x": 1458.2651570288865, + "y": 164.22699667633927 }, "positionAbsolute": { "x": 1462.7745767525992, @@ -469,114 +587,13 @@ "type": "logicNode", "width": 200 }, - { - "data": { - "form": { - "cite": false, - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "maxTokensEnabled": false, - "max_tokens": 256, - "message_history_window_size": 1, - "parameter": "Precise", - "parameters": [ - { - "component_id": "Generate:SmoothTeamsJoke", - "id": "c16dcf28-9525-4ad7-a9ac-c72565306af3", - "key": "query" - }, - { - "component_id": "begin@title", - "id": "b1d43b2e-5c4d-4e6f-86b9-4d9dc303ae19", - "key": "title" - }, - { - "component_id": "begin@language", - "id": "7b95cef3-f9ba-4ab1-9be7-df6e39639f4d", - "key": "language" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "According to query: '{query}'，for '{title}', generate 3 to 5 sub-titles.\n\n\nPlease generate 4 subheadings for the main title following these steps:\n - 1. Carefully read the provided main title and related content\n - 2. Analyze the core theme and key information points of the main title\n - 3. Ensure the generated subheadings maintain consistency and relevance with the main title\n - 4. Each subheading should:\n - Be concise and appropriate in length\n - Highlight a unique angle or key point\n - Capture readers' interest\n - Match the overall style and tone of the article\n - 5. Between subheadings:\n - Content should not overlap\n - Logical order should be maintained\n - Should collectively support the main title\n - Use numerical sequence (1, 2, 3...) to mark each subheading\n - 6. Output format requirements:\n - Each subheading on a separate line\n - No XML tags included\n - Output subheadings content only\n\n\nlanguage：{language}\nGenerate a series of appropriate sub-title to help break down '{title}'.\nBreaks down complex topics into manageable subtopics.\n\nOutput:", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "Subtitles" - }, - "dragging": false, - "height": 232, - "id": "Generate:RedAliensLive", - "measured": { - "height": 232, - "width": 200 - }, - "position": { - "x": 426.8776004103707, - "y": -12.491970174125129 - }, - "positionAbsolute": { - "x": 426.8776004103707, - "y": -12.491970174125129 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "generateNode", - "width": 200 - }, - { - "data": { - "form": { - "content": "

{title}

\n\n{sections}", - "parameters": [ - { - "component_id": "begin@title", - "id": "fe6f99aa-5bd8-4de7-aefd-e6645ad3ab4c", - "key": "title" - }, - { - "component_id": "Iteration:ThreeParksChew", - "id": "2d6b43fd-3512-482e-8329-2d4d7c16a19f", - "key": "sections" - } - ] - }, - "label": "Template", - "name": "Article" - }, - "dragging": false, - "height": 160, - "id": "Template:LazyMasksFollow", - "measured": { - "height": 160, - "width": 200 - }, - "position": { - "x": 1205.1589837159438, - "y": 178.93067822785585 - }, - "positionAbsolute": { - "x": 1209.1589837159438, - "y": 176.93067822785585 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "templateNode", - "width": 200 - }, { "data": { "form": { "delimiter": ",", "query": [ { - "component_id": "Generate:SmoothTeamsJoke", + "component_id": "Generate:EveryCoinsStare", "type": "reference" } ] @@ -585,15 +602,15 @@ "name": "Search" }, "dragging": false, - "height": 337, + "height": 192, "id": "Iteration:BlueClothsGrab", "measured": { - "height": 337, - "width": 356 + "height": 192, + "width": 334 }, "position": { - "x": 441.29535207641436, - "y": 291.9929929170084 + "x": 432.63496522555613, + "y": 228.82343789018051 }, "positionAbsolute": { "x": 441.29535207641436, @@ -608,7 +625,7 @@ }, "targetPosition": "left", "type": "group", - "width": 356 + "width": 334 }, { "data": { @@ -674,75 +691,13 @@ "type": "ragNode", "width": 200 }, - { - "data": { - "form": { - "cite": false, - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "maxTokensEnabled": true, - "max_tokens": 2048, - "message_history_window_size": 1, - "parameter": "Precise", - "parameters": [ - { - "component_id": "begin@language", - "id": "3af930e7-4b51-452a-ab32-cefabfab44ce", - "key": "language" - }, - { - "component_id": "Baidu:MeanBroomsMatter", - "id": "59062b99-fe21-4e98-b95c-83c7f6fe1d97", - "key": "search_res" - }, - { - "component_id": "IterationItem:RudeTablesSmile", - "id": "2728ed42-cf38-4904-a366-cc11726830ec", - "key": "item" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "Your goal is to provide answers based on information from the internet. \nYou must use the provided search results to find relevant online information. \nYou should never use your own knowledge to answer questions.\nPlease include relevant url sources in the end of your answers.\n\n{search_res}\nlanguage：{language}\n \"{search_res}\" \nUsing the above information, answer the following question or topic: \"{item} \"\nin a detailed report — The report should focus on the answer to the question, should be well structured, informative, in depth, with facts and numbers if available, a minimum of 1,200 words and with markdown syntax and apa format. Write all source urls at the end of the report in apa format. You should write your report only based on the given information and nothing else.", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "GenReport" - }, - "dragging": false, - "extent": "parent", - "height": 229, - "id": "Generate:FruityGrapesLook", - "measured": { - "height": 229, - "width": 200 - }, - "parentId": "Iteration:BlueClothsGrab", - "position": { - "x": 139, - "y": 83.00000000000006 - }, - "positionAbsolute": { - "x": -74.50000000000003, - "y": -217.140625 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "generateNode", - "width": 200 - }, { "data": { "form": { "delimiter": "\n", "query": [ { - "component_id": "Generate:RedAliensLive", + "component_id": "Generate:RedWormsDouble", "type": "reference" } ] @@ -751,15 +706,15 @@ "name": "Sections" }, "dragging": false, - "height": 442, + "height": 225, "id": "Iteration:ThreeParksChew", "measured": { - "height": 442, - "width": 333 + "height": 225, + "width": 315 }, "position": { - "x": 894.4430519048244, - "y": 39.64877134989487 + "x": 888.9524716285371, + "y": 75.91277516159235 }, "positionAbsolute": { "x": 891.9430519048244, @@ -774,7 +729,7 @@ }, "targetPosition": "left", "type": "group", - "width": 333 + "width": 315 }, { "data": { @@ -792,8 +747,8 @@ }, "parentId": "Iteration:ThreeParksChew", "position": { - "x": 27, - "y": 99 + "x": 24.66038685085823, + "y": 37.00025154774299 }, "positionAbsolute": { "x": 780.5000000000002, @@ -803,111 +758,6 @@ "type": "iterationStartNode", "width": 44 }, - { - "data": { - "form": { - "cite": false, - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "maxTokensEnabled": false, - "max_tokens": 256, - "message_history_window_size": 1, - "parameter": "Precise", - "parameters": [ - { - "component_id": "begin@language", - "id": "3e17849a-902d-48a2-8ba9-673cedc21f82", - "key": "language" - }, - { - "component_id": "Iteration:BlueClothsGrab", - "id": "afa356ff-bc38-4363-b933-54e00562e89e", - "key": "context" - }, - { - "component_id": "IterationItem:OliveStatesSmoke", - "id": "3e79ca4b-bfbb-4ae3-80ae-a1812b97223b", - "key": "sub_title" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "in a detailed report — The report should focus on the answer to {sub_title}and nothing else.\nlanguage：{language}\ncontext：{context}\n\nProvide the research report in the specified language, avoiding small talk.\nThe main content is provided in markdown format\nWrite all source urls at the end of the report in apa format. ", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "Subtitle-content" - }, - "dragging": false, - "extent": "parent", - "height": 229, - "id": "Generate:EagerFliesTrade", - "measured": { - "height": 229, - "width": 200 - }, - "parentId": "Iteration:ThreeParksChew", - "position": { - "x": 194.65347489427984, - "y": 4.791910542395684 - }, - "positionAbsolute": { - "x": 923.8046162567085, - "y": 45.64877134989487 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "generateNode", - "width": 200 - }, - { - "data": { - "form": { - "content": "

{subtitle}

\n
{content}
\n", - "parameters": [ - { - "component_id": "IterationItem:OliveStatesSmoke", - "id": "3ccd05b1-afcd-4632-b48c-30c4fa0b7a70", - "key": "subtitle" - }, - { - "component_id": "Generate:EagerFliesTrade", - "id": "004ae762-9a1e-4466-b3d5-6b03e0d300ad", - "key": "content" - } - ] - }, - "label": "Template", - "name": "Sub-section" - }, - "dragging": false, - "extent": "parent", - "height": 153, - "id": "Template:SaltyMasksItch", - "measured": { - "height": 153, - "width": 200 - }, - "parentId": "Iteration:ThreeParksChew", - "position": { - "x": 110.79092018298843, - "y": 259.6247245989738 - }, - "positionAbsolute": { - "x": 835.863238290048, - "y": 367.9383674393832 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "templateNode", - "width": 200 - }, { "data": { "form": { @@ -978,8 +828,8 @@ "width": 266 }, "position": { - "x": 439.2665425320009, - "y": -195 + "x": 431.07789651000473, + "y": -161.0756093374443 }, "selected": false, "sourcePosition": "right", @@ -1003,8 +853,8 @@ "width": 364 }, "position": { - "x": 444.1465433196574, - "y": 651.3693016100851 + "x": 435.9578972976612, + "y": 452.5021839330345 }, "resizing": false, "selected": false, @@ -1030,8 +880,8 @@ "width": 336 }, "position": { - "x": 889.6239047765729, - "y": -194.97855367579697 + "x": 881.4352587545767, + "y": -165.7333893115248 }, "resizing": false, "selected": false, @@ -1039,176 +889,212 @@ "targetPosition": "left", "type": "noteNode", "width": 336 - } - ], - "edges": [ - { - "id": "reactflow__edge-begin-Generate:SmoothTeamsJokec", - "markerEnd": "logo", - "source": "begin", - "sourceHandle": null, - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:SmoothTeamsJoke", - "targetHandle": "c", - "type": "buttonEdge", - "zIndex": 1001 }, { - "id": "reactflow__edge-Baidu:SharpHotelsNailb-Generate:RealCamerasSendb", - "markerEnd": "logo", - "source": "Baidu:SharpHotelsNail", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 1, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "\n\nGenerate a series of appropriate search engine queries to break down questions based on user inquiries\n\n\n\n\nInput: User asks how to learn programming\nOutput: programming learning methods, programming tutorials for beginners\n\n\n\nInput: User wants to understand latest technology trends \nOutput: tech trends 2024, latest technology news\n\n\n\nInput: User seeks healthy eating advice\nOutput: healthy eating guide, balanced nutrition diet\n\n\n\n\n1. Take user's question as input.\n2. Identify relevant keywords or phrases based on the topic of user's question.\n3. Use these keywords or phrases to make search engine queries.\n4. Generate a series of appropriate search engine queries to help break down user's question.\n5. Ensure output content does not contain any xml tags.\n6. The output must be pure and conform to the style without other explanations.\n7. Break down into at least 4-6 subproblems.\n8. Output is separated only by commas.\n\n\n\ntitle: {begin@title}\nlanguage: {begin@language}\nThe output must be pure and conform to the style without other explanations.\nOutput is separated only by commas.\nBreak down into at least 4-6 subproblems.\n\nOutput:", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "GenQuery" }, - "target": "Generate:RealCamerasSend", - "targetHandle": "b", - "type": "buttonEdge", - "zIndex": 1001 + "dragging": false, + "id": "Generate:EveryCoinsStare", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": 42.60311386535324, + "y": 107.45415912015176 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" }, { - "id": "reactflow__edge-Generate:SmoothTeamsJokeb-Generate:RedAliensLivec", - "markerEnd": "logo", - "source": "Generate:SmoothTeamsJoke", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": false, + "max_tokens": 256, + "message_history_window_size": 1, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "According to query: ' {Generate:EveryCoinsStare}'，for ' {begin@title}', generate 3 to 5 sub-titles.\n\n\nPlease generate 4 subheadings for the main title following these steps:\n - 1. Carefully read the provided main title and related content\n - 2. Analyze the core theme and key information points of the main title\n - 3. Ensure the generated subheadings maintain consistency and relevance with the main title\n - 4. Each subheading should:\n - Be concise and appropriate in length\n - Highlight a unique angle or key point\n - Capture readers' interest\n - Match the overall style and tone of the article\n - 5. Between subheadings:\n - Content should not overlap\n - Logical order should be maintained\n - Should collectively support the main title\n - Use numerical sequence (1, 2, 3...) to mark each subheading\n - 6. Output format requirements:\n - Each subheading on a separate line\n - No XML tags included\n - Output subheadings content only\n\n\nlanguage: {begin@language}\nGenerate a series of appropriate sub-title to help break down ' {begin@title}'.\nBreaks down complex topics into manageable subtopics.\n\nOutput:", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Subtitles" }, - "target": "Generate:RedAliensLive", - "targetHandle": "c", - "type": "buttonEdge", - "zIndex": 1001 + "dragging": false, + "id": "Generate:RedWormsDouble", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": 433.41522248658606, + "y": 14.302437349777136 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" }, { - "id": "reactflow__edge-Generate:BeigeEyesFlyb-Template:ThinSnailsDreamc", - "markerEnd": "logo", - "source": "Generate:BeigeEyesFly", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": false, + "max_tokens": 256, + "message_history_window_size": 1, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Your goal is to provide answers based on information from the internet. \nYou must use the provided search results to find relevant online information. \nYou should never use your own knowledge to answer questions.\nPlease include relevant url sources in the end of your answers.\n{Baidu:MeanBroomsMatter}\n\n\n\n\n\nlanguage: {begin@language}\n\n\n \" {Baidu:MeanBroomsMatter}\" \n\n\n\n\nUsing the above information, answer the following question or topic: \" {IterationItem:RudeTablesSmile} \"\nin a detailed report — The report should focus on the answer to the question, should be well structured, informative, in depth, with facts and numbers if available, a minimum of 1,200 words and with markdown syntax and apa format. Write all source urls at the end of the report in apa format. You should write your report only based on the given information and nothing else.", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "GenSearchReport" }, - "target": "Template:ThinSnailsDream", - "targetHandle": "c", - "type": "buttonEdge", - "zIndex": 1001 + "dragging": false, + "extent": "parent", + "id": "Generate:YoungClownsKnock", + "measured": { + "height": 106, + "width": 200 + }, + "parentId": "Iteration:BlueClothsGrab", + "position": { + "x": 115.34644687476163, + "y": 73.07611243293042 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" }, { - "id": "reactflow__edge-Template:LazyMasksFollowb-Answer:WittyBottlesJogc", - "markerEnd": "logo", - "source": "Template:LazyMasksFollow", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": false, + "max_tokens": 256, + "message_history_window_size": 1, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "In a detailed report — The report should focus on the answer to {IterationItem:OliveStatesSmoke}and nothing else.\n\n\nLanguage: {begin@language}\nContext as bellow: \n\n\"{Iteration:BlueClothsGrab}\"\n\nProvide the research report in the specified language, avoiding small talk.\nThe main content is provided in markdown format\nWrite all source urls at the end of the report in apa format. ", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Subtitle-content" }, - "target": "Answer:WittyBottlesJog", - "targetHandle": "c", - "type": "buttonEdge", - "zIndex": 1001 + "dragging": false, + "extent": "parent", + "id": "Generate:RealLoopsVanish", + "measured": { + "height": 106, + "width": 200 + }, + "parentId": "Iteration:ThreeParksChew", + "position": { + "x": 189.94391141062363, + "y": 5.408501635610101 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" }, { - "id": "reactflow__edge-IterationItem:RudeTablesSmile-Baidu:MeanBroomsMatterc", - "markerEnd": "logo", - "source": "IterationItem:RudeTablesSmile", - "sourceHandle": null, - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 + "data": { + "form": { + "content": "

{IterationItem:OliveStatesSmoke}

\n
{Generate:RealLoopsVanish}
", + "parameters": [] + }, + "label": "Template", + "name": "Sub-section" }, - "target": "Baidu:MeanBroomsMatter", - "targetHandle": "c", - "type": "buttonEdge", - "zIndex": 1001 + "dragging": false, + "extent": "parent", + "id": "Template:SpottyWaspsLose", + "measured": { + "height": 76, + "width": 200 + }, + "parentId": "Iteration:ThreeParksChew", + "position": { + "x": 107.51010102435532, + "y": 127.82322102671017 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "templateNode" }, { - "id": "reactflow__edge-Baidu:MeanBroomsMatterb-Generate:FruityGrapesLookb", - "markerEnd": "logo", - "source": "Baidu:MeanBroomsMatter", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 + "data": { + "form": { + "content": "

{begin@title}

\n\n\n\n{Iteration:ThreeParksChew}", + "parameters": [] + }, + "label": "Template", + "name": "Article" }, - "target": "Generate:FruityGrapesLook", - "targetHandle": "b", - "type": "buttonEdge", - "zIndex": 1001 - }, - { - "id": "reactflow__edge-Generate:SmoothTeamsJokeb-Iteration:BlueClothsGrabc", - "markerEnd": "logo", - "source": "Generate:SmoothTeamsJoke", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 + "dragging": false, + "id": "Template:LegalDoorsAct", + "measured": { + "height": 76, + "width": 200 }, - "target": "Iteration:BlueClothsGrab", - "targetHandle": "c", - "type": "buttonEdge", - "zIndex": 1001 - }, - { - "id": "reactflow__edge-IterationItem:OliveStatesSmoke-Generate:EagerFliesTradec", - "markerEnd": "logo", - "source": "IterationItem:OliveStatesSmoke", - "sourceHandle": null, - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 + "position": { + "x": 1209.0758608851872, + "y": 149.01984563839733 }, - "target": "Generate:EagerFliesTrade", - "targetHandle": "c", - "type": "buttonEdge", - "zIndex": 1001 - }, - { - "id": "reactflow__edge-Generate:RedAliensLiveb-Iteration:ThreeParksChewc", - "markerEnd": "logo", - "source": "Generate:RedAliensLive", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Iteration:ThreeParksChew", - "targetHandle": "c", - "type": "buttonEdge", - "zIndex": 1001 - }, - { - "id": "reactflow__edge-Iteration:ThreeParksChewb-Template:LazyMasksFollowc", - "markerEnd": "logo", - "source": "Iteration:ThreeParksChew", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Template:LazyMasksFollow", - "targetHandle": "c", - "type": "buttonEdge", - "zIndex": 1001 - }, - { - "id": "reactflow__edge-Generate:EagerFliesTradeb-Template:SaltyMasksItchb", - "markerEnd": "logo", - "source": "Generate:EagerFliesTrade", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Template:SaltyMasksItch", - "targetHandle": "b", - "type": "buttonEdge", - "zIndex": 1001 + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "templateNode" } ] }, diff --git a/agent/templates/seo_blog.json b/agent/templates/seo_blog.json index f8ac5ffd..051d7464 100644 --- a/agent/templates/seo_blog.json +++ b/agent/templates/seo_blog.json @@ -4,1407 +4,1206 @@ "description": "A blog generator that creates SEO-optimized content based on your chosen title or keywords.", "canvas_type": "chatbot", "dsl": { - "answer": [], - "components": { - "Answer:TameWavesChange": { - "downstream": [], - "obj": { - "component_name": "Answer", - "params": { - "inputs": [], - "message_history_window_size": 22, - "output_var_name": "output", - "post_answers": [], - "query": [] - } - }, - "upstream": [ - "Template:FunnyWebsPick" - ] - }, - "Baidu:SharpSignsBeg": { - "downstream": [ - "Generate:PetiteTrainsCross" - ], - "obj": { - "component_name": "Baidu", - "params": { - "message_history_window_size": 22, - "output_var_name": "output", - "query": [ - { - "component_id": "Generate:PublicEmusThink", - "type": "reference" - } - ], - "top_n": 10 - } - }, - "upstream": [ - "Generate:PublicEmusThink" - ] - }, - "Baidu:ShyTeamsJuggle": { - "downstream": [ - "Generate:StaleFriendsEat" - ], - "obj": { - "component_name": "Baidu", - "params": { - "inputs": [], - "message_history_window_size": 22, - "output": null, - "output_var_name": "output", - "query": [ - { - "component_id": "begin@keywords", - "type": "reference" - } - ], - "top_n": 10 - } - }, - "upstream": [ - "Switch:LargeWaspsSlide" - ] - }, - "Generate:FancyMomentsTalk": { - "downstream": [ - "Generate:PublicEmusThink" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "frequency_penalty": 0.7, - "inputs": [], - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 256, - "message_history_window_size": 12, - "output_var_name": "output", - "parameters": [ - { - "component_id": "begin@title", - "id": "2beef84b-204b-475a-89b3-3833bd108088", - "key": "title" - } - ], - "presence_penalty": 0.4, - "prompt": "I'm doing research for an article called {title}, what relevant, high-traffic phrase should I type into Google to find this article? Just return the phrase without including any special symbols like quotes and colons.", - "query": [], - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Switch:LargeWaspsSlide" - ] - }, - "Generate:GreenEaglesEnjoy": { - "downstream": [ - "Template:FunnyWebsPick" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "frequency_penalty": 0.7, - "inputs": [], - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 0, - "message_history_window_size": 12, - "output_var_name": "output", - "parameters": [ - { - "component_id": "begin@audience", - "id": "f19e0efd-3738-4cc8-9c40-719e7d4e2962", - "key": "audience" - }, - { - "component_id": "Generate:PetiteTrainsCross", - "id": "83ec3179-8c92-4cfc-ab57-0dc74ac7d74c", - "key": "outline" - }, - { - "component_id": "begin@keywords", - "id": "2424501d-938b-4c5c-9e67-8285ffde4c7f", - "key": "keywords" - }, - { - "component_id": "begin@title", - "id": "0e224712-a43b-4610-9482-477e86091de5", - "key": "title" - } - ], - "presence_penalty": 0.4, - "prompt": "You are an SEO expert who writes in a direct, practical, educational style that is factual rather than storytelling or narrative, focusing on explaining to {audience} the \"how\" and \"what is\" and \u201cwhy\u201d rather than narrating to the audience. \n - Please write at a sixth grade reading level. \n - ONLY output in Markdown format.\n - Use active, present tense, avoid using complex language and syntax, such as \"unravel\", \"dig deeper\", etc., \n - DO NOT provide narration.\n - Now, excluding the title, introduce the blog in 3-5 sentences. \n - Use h2 headings to write chapter titles. \n - Provide a concise, SEO-optimized title. \n - DO NOT include h3 subheadings. \n - Feel free to use bullet points, numbered lists or paragraphs, or bold text for emphasis when appropriate. \n - You should transition naturally to each section, build on each section, and should NOT repeat the same sentence structure. \n - JUST write the introduction of the article based on the outline.\n - DO NOT include title, conclusions, summaries, or summaries, no \"summaries,\" \"conclusions,\" or variations. \n - DO NOT include links or mention any companies that compete with the brand (avoid mentioning {brands_to_avoid}).\n - JUST write the introduction of the article based on the outline.\n - MUST be in language of \"{keywords} {title}\".\n\n\n{outline}\n\n\n", - "query": [], - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Generate:PetiteTrainsCross" - ] - }, - "Generate:PetiteTrainsCross": { - "downstream": [ - "Generate:GreenEaglesEnjoy", - "Generate:StupidLlamasPull" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "frequency_penalty": 0.7, - "inputs": [], - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 0, - "message_history_window_size": 12, - "output_var_name": "output", - "parameters": [ - { - "component_id": "begin@title", - "id": "4c567588-33d9-4886-8551-15259a007636", - "key": "title_0" - }, - { - "component_id": "Generate:StaleFriendsEat", - "id": "be668c25-74b7-4168-9aa1-46f5803120b1", - "key": "title" - }, - { - "component_id": "begin@keywords", - "id": "d1309653-e36a-4fc6-b0ba-643118c4dee7", - "key": "keywords_0" - }, - { - "component_id": "Generate:FancyMomentsTalk", - "id": "029757d4-43dd-435a-8b28-c3f49049e223", - "key": "keywords" - }, - { - "component_id": "begin@audience", - "id": "f95757f3-92e2-4e01-bc63-85ea21a22992", - "key": "audience" - }, - { - "component_id": "begin@brands_to_avoid", - "id": "7dd8968a-a5bd-46de-9666-615e7f2c59ac", - "key": "brands_to_avoid" - }, - { - "component_id": "Baidu:SharpSignsBeg", - "id": "ec7f3f31-475a-4fb0-892d-5210a116fbe3", - "key": "search_res" - } - ], - "presence_penalty": 0.4, - "prompt": "I'm an expert blogger.\nHere is some research I did for the blog post title \"{title_0} {title}\".\nThese are related search results:\n{search_res}\n\nPlease study it in depth:\n\nArticle title: {title_0} {title}\nTarget keywords: {keywords_0} {keywords}\nMy blog post\u2019s audience: {audience}\nExclude brands: {brands_to_avoid}\n\nCan you write a detailed blog outline with unique chapters? \n - The outline should include specific points and details that the article can mention. \n - AVOID generalities. \n - This SHOULD be researched in depth, not generalized.\n - Each chapter includes 7-8 projects, use some of the links above for reference if you can. For each item, don't just say \"discuss how\" but actually explain in detail the points that can be made. \n - DO NOT include things that you know are false and may contain inaccuracies. You are writing for a mature audience, avoid generalities and make specific quotes. Make sure to define key terms for users in your outline. Stay away from very controversial topics. \n - In the introduction, provide the background information needed for the rest of the article.\n - Please return in base array format and only the outline array, escaping quotes in the format. Each array item includes a complete chapter:\n[\"Includes Chapter 1 of all sub-projects\", \"Includes Chapter 2 of all sub-projects\", \"Includes Chapter 3 of all sub-projects\", \"Includes Chapter 4 of all sub-projects\"...etc.]\n - Each section SHOULD be wrapped with \"\" and ensure escaping within the content to ensure it is a valid array item.\n - MUST be in language of \"{keywords_0} {title_0}\".\n\nHere is an example of valid output. Please follow this structure and ignore the content:\n[\n \"Introduction - Explore the vibrant city of Miami, a destination that offers rich history, diverse culture, and many hidden treasures. Discover the little-known wonders that make Miami a unique destination for adventure seekers. Explore from historical landmarks to exotic places Attractions include atmospheric neighborhoods, local cuisine and lively nightlife. \",\n \"History of Miami - Begin the adventure with a journey into Miami's past. Learn about the city's transformation from a sleepy settlement to a busy metropolis. Understand the impact of multiculturalism on the city's development, as reflected in its architecture, cuisine and lifestyle See. Discover the historical significance of Miami landmarks like Hemingway's home. Uncover the fascinating stories of famous Miami neighborhoods like Key West. Explore the role of art and culture in shaping Miami, as shown at Art Basel events.\n\"Major Attractions - Go beyond Miami's famous beaches and explore the city's top attractions. Discover the artistic talent of the Wynwood Arts District, known for its vibrant street art. Visit iconic South Beach, known for its nightlife and boutiques . Explore the charming Coconut Grove district, known for its tree-lined streets and shopping areas. Visit the Holocaust Memorial Museum, a sombre reminder of a dark chapter in human history. Explore the Everglades Country, one of Miami's natural treasures. The park's diverse wildlife \",\n\"Trail Discovery - Get off the tourist trail and discover Miami's hidden treasures. Experience a water taxi tour across Biscayne Bay to get another perspective on the city. Visit the little-known Kabinett Department of Art, showcasing unique installation art . Explore the abandoned bridges and hidden bars of Duval Street and go on a culinary adventure in local neighborhoods known for their authentic cuisine. Go shopping at Brickell City Center, a trendy shopping and apartment complex in the heart of Miami. body.\",\n\"Local Cuisine - Dive into Miami's food scene and sample the city's diverse flavors. Enjoy ultra-fresh food and drinks at Bartaco, a local favorite. Experience fine dining at upscale Italian restaurants like Il Mulino New York. Explore the city \u2019s local food market and sample delicious local produce in Miami. Try a unique blend of Cuban and American cuisine that is a testament to Miami\u2019s multicultural heritage.\"\n\"Nightlife - Experience the city's lively nightlife, a perfect blend of sophistication and fun. Visit America's Social Bar & Kitchen, a sports\nA hotspot for enthusiasts. Explore the nightlife of Mary Brickell Village, known for its clubby atmosphere. Spend an evening at Smith & Walensky Miami Beach's South Point Park, known for its stunning views and vintage wines. Visit iconic Miami Beach, famous for its pulsating nightlife. \",\n \"Conclusion- Miami is more than just stunning beaches and dazzling nightlife. It is a treasure trove of experiences waiting to be discovered. From its rich history and diverse culture to its hidden treasures, local cuisine and lively nightlife, Miami has something for everyone A traveler offers a unique adventure to experience the magic of Miami Beach and create unforgettable memories with your family.\"\n]", - "query": [], - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Baidu:SharpSignsBeg" - ] - }, - "Generate:PublicEmusThink": { - "downstream": [ - "Baidu:SharpSignsBeg" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "frequency_penalty": 0.7, - "inputs": [], - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 256, - "message_history_window_size": 12, - "output_var_name": "output", - "parameters": [ - { - "component_id": "begin@title", - "id": "9bd0c2d9-9fe2-494b-a354-d25a5423e4d1", - "key": "title_0" - }, - { - "component_id": "Generate:StaleFriendsEat", - "id": "31f6e9b4-928d-4561-bcb0-ccab0b122dc5", - "key": "title" - }, - { - "component_id": "begin@keywords", - "id": "94c0746d-bec8-4aa8-8de9-b865bdf2165a", - "key": "keywords_0" - }, - { - "component_id": "begin@keywords", - "id": "905a395e-c995-46e3-bbb6-d844cb36ffdb", - "key": "keywords" - }, - { - "component_id": "begin@audience", - "id": "308b091e-8316-4a1f-a91d-d7b8d4f05e72", - "key": "audience" - } - ], - "presence_penalty": 0.4, - "prompt": "I want a Google search phrase to get authoritative information for my article \"{title_0} {title} {keywords_0} {keywords}\" for {audience}. Please return a search phrase of five words or less so that I can get a good overview of the topic. Include any words you're unfamiliar with in your search query.", - "query": [], - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Generate:StaleFriendsEat", - "Generate:FancyMomentsTalk" - ] - }, - "Generate:StaleFriendsEat": { - "downstream": [ - "Generate:PublicEmusThink" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": false, - "frequency_penalty": 0.7, - "inputs": [], - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 256, - "message_history_window_size": 12, - "output_var_name": "output", - "parameters": [ - { - "component_id": "Baidu:ShyTeamsJuggle", - "id": "e9c8317b-45d0-426d-aa9b-c0c511bf2737", - "key": "google" - }, - { - "component_id": "begin@keywords", - "id": "52ae0774-5922-4983-bf31-bdfd97b03665", - "key": "keywords" - } - ], - "presence_penalty": 0.4, - "prompt": "Role: You are an SEO expert and subject area expert. Your task is to generate an SEO article title based on the keywords provided by the user and the context of the Google search.\n\nThe context of the Google search is as follows:\n{google}\nThe context of the Google search is as above.\n\nIn order to craft an SEO article title that is keyword friendly and aligns with the principles observed in the top results you share, it is important to understand why these titles are effective. Here are the principles that may help them rank high:\n1. **Keyword Placement and Clarity**: Each title directly responds to the query by containing the exact keyword or a very close variation. This clarity ensures that search engines can easily understand the relevance of the content.\n2. **Succinctness and directness**: The title is concise, making it easy to read and understand quickly. They avoid unnecessary words and get straight to the point.\n3. **Contains a definition or explanation**: The title implies that the article will define or explain the concept, which is what people searching for \"{keywords}\" are looking for.\n4. **Variety of Presentation**: Despite covering similar content, each title approaches the topic from a slightly different angle. This diversity can attract the interest of a wider audience.\n\nGiven these principles, please help me generate a title that will be optimized for the keyword \"{keywords}\" based on the syntax of a top-ranking title. Please don't copy, but give better options, and avoid using language like \"master,\" \"comprehensive,\" \"discover,\" or \"reveal.\" Do not use gerunds, only active tense and present tense. Just return the title.", - "query": [], - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Baidu:ShyTeamsJuggle" - ] - }, - "Generate:StupidLlamasPull": { - "downstream": [ - "Template:FunnyWebsPick" - ], - "obj": { - "component_name": "Generate", - "params": { - "cite": true, - "frequency_penalty": 0.7, - "inputs": [], - "llm_id": "deepseek-chat@DeepSeek", - "max_tokens": 0, - "message_history_window_size": 12, - "output_var_name": "output", - "parameters": [ - { - "component_id": "begin@audience", - "id": "a5aa62b5-2974-4eba-bb98-41589589525d", - "key": "audience" - }, - { - "component_id": "begin@title", - "id": "80ad2093-85a4-42c3-acf5-0fea1194fc6c", - "key": "title_0" - }, - { - "component_id": "Generate:StaleFriendsEat", - "id": "3aed7250-fcee-40a6-823b-33b36a049fb6", - "key": "title" - }, - { - "component_id": "begin@keywords", - "id": "a457ea6d-e271-4d6e-968d-3841f358da37", - "key": "keywords_0" - }, - { - "component_id": "Generate:FancyMomentsTalk", - "id": "a22aacc2-0ad7-43bb-b971-448910af1c7e", - "key": "keywords" - }, - { - "component_id": "Generate:PetiteTrainsCross", - "id": "bc0b8dcd-70d1-4fc4-a6ee-e5b3e652e2bd", - "key": "outline" - } - ], - "presence_penalty": 0.4, - "prompt": "You are an SEO expert who writes in a direct, practical, educational style that is factual rather than storytelling or narrative, focusing on explaining to {audience} the \"how\" and \"what is\" and \u201cwhy\u201d rather than narrating to the audience. \n - Please write at a sixth grade reading level. \n - ONLY output in Markdown format.\n - Use positive, present tense expressions and avoid using complex words and sentence structures that lack narrative, such as \"reveal\" and \"dig deep.\"\n - Next, please continue writing articles related to our topic with a concise title, {title_0}{title} {keywords_0}{keywords}. \n - Please AVOID repeating what has already been written and do not use the same sentence structure. \n - JUST write the body of the article based on the outline.\n - DO NOT include introduction, title.\n - DO NOT miss anything mentioned in article outline, except introduction and title.\n - Please use the information I provide to create in-depth, interesting and unique content. Also, incorporate the references and data points I provided earlier into the article to increase its value to the reader.\n - MUST be in language of \"{keywords_0} {title_0}\".\n\n\n{outline}\n\n", - "query": [], - "temperature": 0.1, - "top_p": 0.3 - } - }, - "upstream": [ - "Generate:PetiteTrainsCross" - ] - }, - "Switch:LargeWaspsSlide": { - "downstream": [ - "Baidu:ShyTeamsJuggle", - "Generate:FancyMomentsTalk" - ], - "obj": { - "component_name": "Switch", - "params": { - "conditions": [ - { - "items": [ - { - "cpn_id": "begin@title", - "operator": "empty" - } - ], - "logical_operator": "and", - "to": "Baidu:ShyTeamsJuggle" - } - ], - "end_cpn_id": "Generate:FancyMomentsTalk", - "inputs": [], - "message_history_window_size": 22, - "operators": [ - "contains", - "not contains", - "start with", - "end with", - "empty", - "not empty", - "=", - "\u2260", - ">", - "<", - "\u2265", - "\u2264" - ], - "output_var_name": "output", - "query": [] - } - }, - "upstream": [ - "begin" - ] - }, - "Template:FunnyWebsPick": { - "downstream": [ - "Answer:TameWavesChange" - ], - "obj": { - "component_name": "Template", - "params": { - "content": "\n## {title_0} {title}\n\n{introduction}\n\n{body}", - "inputs": [], - "message_history_window_size": 22, - "output_var_name": "output", - "parameters": [ - { - "component_id": "begin@title", - "id": "7667a7fe-9999-45c5-ad98-3b859ca528e4", - "key": "title_0" - }, - { - "component_id": "Generate:StaleFriendsEat", - "id": "08e21e37-d466-4b28-8c95-0320cdbafe90", - "key": "title" - }, - { - "component_id": "Generate:GreenEaglesEnjoy", - "id": "7686d544-8568-4117-86c2-9dc63eaee560", - "key": "introduction" - }, - { - "component_id": "Generate:StupidLlamasPull", - "id": "f44df8ea-13c9-4542-98a5-e2cc66c6f2de", - "key": "body" - } - ], - "query": [] - } - }, - "upstream": [ - "Generate:GreenEaglesEnjoy", - "Generate:StupidLlamasPull" - ] - }, - "begin": { - "downstream": [ - "Switch:LargeWaspsSlide" - ], - "obj": { - "component_name": "Begin", - "params": { - "inputs": [], - "message_history_window_size": 22, - "output_var_name": "output", - "prologue": "", - "query": [ - { - "key": "title", - "name": "Title", - "optional": true, - "type": "line", - "value": "\u80e1\u51ef\u4eba\u771f\u597d" - }, - { - "key": "keywords", - "name": "Keywords", - "optional": true, - "type": "line" - }, - { - "key": "audience", - "name": "Audience", - "optional": true, - "type": "line" - }, - { - "key": "brands_to_avoid", - "name": "Brands to avoid", - "optional": true, - "type": "line" - } - ] - } - }, - "upstream": [] - } - }, - "embed_id": "", - "graph": { - "edges": [ - { - "id": "reactflow__edge-begin-Switch:LargeWaspsSlidea", - "markerEnd": "logo", - "source": "begin", - "sourceHandle": null, - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Switch:LargeWaspsSlide", - "targetHandle": "a", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Switch:LargeWaspsSlideCase 1-Baidu:ShyTeamsJugglec", - "markerEnd": "logo", - "source": "Switch:LargeWaspsSlide", - "sourceHandle": "Case 1", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Baidu:ShyTeamsJuggle", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Switch:LargeWaspsSlideend_cpn_id-Generate:FancyMomentsTalkc", - "markerEnd": "logo", - "source": "Switch:LargeWaspsSlide", - "sourceHandle": "end_cpn_id", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:FancyMomentsTalk", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Baidu:ShyTeamsJuggleb-Generate:StaleFriendsEatc", - "markerEnd": "logo", - "source": "Baidu:ShyTeamsJuggle", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:StaleFriendsEat", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:StaleFriendsEatb-Generate:PublicEmusThinkc", - "markerEnd": "logo", - "source": "Generate:StaleFriendsEat", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:PublicEmusThink", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:FancyMomentsTalkb-Generate:PublicEmusThinkc", - "markerEnd": "logo", - "source": "Generate:FancyMomentsTalk", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:PublicEmusThink", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:PublicEmusThinkb-Baidu:SharpSignsBegc", - "markerEnd": "logo", - "source": "Generate:PublicEmusThink", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Baidu:SharpSignsBeg", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Baidu:SharpSignsBegb-Generate:PetiteTrainsCrossc", - "markerEnd": "logo", - "source": "Baidu:SharpSignsBeg", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:PetiteTrainsCross", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:PetiteTrainsCrossb-Generate:GreenEaglesEnjoyc", - "markerEnd": "logo", - "source": "Generate:PetiteTrainsCross", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:GreenEaglesEnjoy", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:PetiteTrainsCrossb-Generate:StupidLlamasPullc", - "markerEnd": "logo", - "source": "Generate:PetiteTrainsCross", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:StupidLlamasPull", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:GreenEaglesEnjoyb-Template:FunnyWebsPickc", - "markerEnd": "logo", - "source": "Generate:GreenEaglesEnjoy", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Template:FunnyWebsPick", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:StupidLlamasPullb-Template:FunnyWebsPickc", - "markerEnd": "logo", - "source": "Generate:StupidLlamasPull", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Template:FunnyWebsPick", - "targetHandle": "c", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Template:FunnyWebsPickb-Answer:TameWavesChangec", - "markerEnd": "logo", - "source": "Template:FunnyWebsPick", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:TameWavesChange", - "targetHandle": "c", - "type": "buttonEdge" - } - ], - "nodes": [ - { - "data": { - "form": { - "prologue": "", - "query": [ - { - "key": "title", - "name": "Title", - "optional": true, - "type": "line", - "value": "" - }, - { - "key": "keywords", - "name": "Keywords", - "optional": true, - "type": "line" - }, - { - "key": "audience", - "name": "Audience", - "optional": true, - "type": "line" - }, - { - "key": "brands_to_avoid", - "name": "Brands to avoid", - "optional": true, - "type": "line" - } - ] - }, - "label": "Begin", - "name": "begin" - }, - "dragging": false, - "height": 212, - "id": "begin", - "position": { - "x": -432.2850120660528, - "y": 82.47567395502324 - }, - "positionAbsolute": { - "x": -432.2850120660528, - "y": 82.47567395502324 - }, - "selected": false, - "sourcePosition": "left", - "targetPosition": "right", - "type": "beginNode", - "width": 200 - }, - { - "data": { - "form": { - "conditions": [ - { - "items": [ - { - "cpn_id": "begin@title", - "operator": "empty" - } - ], - "logical_operator": "and", - "to": "Baidu:ShyTeamsJuggle" - } - ], - "end_cpn_id": "Generate:FancyMomentsTalk" - }, - "label": "Switch", - "name": "Empty title?" - }, - "dragging": false, - "height": 164, - "id": "Switch:LargeWaspsSlide", - "position": { - "x": -171.8139076194234, - "y": 106.58178484885428 - }, - "positionAbsolute": { - "x": -171.8139076194234, - "y": 106.58178484885428 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "switchNode", - "width": 200 - }, - { - "data": { - "form": { - "query": [ - { - "component_id": "begin@keywords", - "type": "reference" - } - ], - "top_n": 10 - }, - "label": "Baidu", - "name": "Baidu4title" - }, - "dragging": false, - "height": 64, - "id": "Baidu:ShyTeamsJuggle", - "position": { - "x": 99.2698941117485, - "y": 131.97513574677558 - }, - "positionAbsolute": { - "x": 99.2698941117485, - "y": 131.97513574677558 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "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, - "parameters": [ - { - "component_id": "begin@title", - "id": "2beef84b-204b-475a-89b3-3833bd108088", - "key": "title" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "I'm doing research for an article called {title}, what relevant, high-traffic phrase should I type into Google to find this article? Just return the phrase without including any special symbols like quotes and colons.", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "Keywords gen" - }, - "dragging": false, - "height": 148, - "id": "Generate:FancyMomentsTalk", - "position": { - "x": 102.41401952481024, - "y": 250.74278147746412 - }, - "positionAbsolute": { - "x": 102.41401952481024, - "y": 250.74278147746412 - }, - "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, - "parameters": [ - { - "component_id": "Baidu:ShyTeamsJuggle", - "id": "e9c8317b-45d0-426d-aa9b-c0c511bf2737", - "key": "google" - }, - { - "component_id": "begin@keywords", - "id": "52ae0774-5922-4983-bf31-bdfd97b03665", - "key": "keywords" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "Role: You are an SEO expert and subject area expert. Your task is to generate an SEO article title based on the keywords provided by the user and the context of the Google search.\n\nThe context of the Google search is as follows:\n{google}\nThe context of the Google search is as above.\n\nIn order to craft an SEO article title that is keyword friendly and aligns with the principles observed in the top results you share, it is important to understand why these titles are effective. Here are the principles that may help them rank high:\n1. **Keyword Placement and Clarity**: Each title directly responds to the query by containing the exact keyword or a very close variation. This clarity ensures that search engines can easily understand the relevance of the content.\n2. **Succinctness and directness**: The title is concise, making it easy to read and understand quickly. They avoid unnecessary words and get straight to the point.\n3. **Contains a definition or explanation**: The title implies that the article will define or explain the concept, which is what people searching for \"{keywords}\" are looking for.\n4. **Variety of Presentation**: Despite covering similar content, each title approaches the topic from a slightly different angle. This diversity can attract the interest of a wider audience.\n\nGiven these principles, please help me generate a title that will be optimized for the keyword \"{keywords}\" based on the syntax of a top-ranking title. Please don't copy, but give better options, and avoid using language like \"master,\" \"comprehensive,\" \"discover,\" or \"reveal.\" Do not use gerunds, only active tense and present tense. Just return the title.", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "Title Gen" - }, - "dragging": false, - "height": 190, - "id": "Generate:StaleFriendsEat", - "position": { - "x": 350.6095610475215, - "y": 67.41989677966453 - }, - "positionAbsolute": { - "x": 350.6095610475215, - "y": 67.41989677966453 - }, - "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, - "parameters": [ - { - "component_id": "begin@title", - "id": "9bd0c2d9-9fe2-494b-a354-d25a5423e4d1", - "key": "title_0" - }, - { - "component_id": "Generate:StaleFriendsEat", - "id": "31f6e9b4-928d-4561-bcb0-ccab0b122dc5", - "key": "title" - }, - { - "component_id": "begin@keywords", - "id": "94c0746d-bec8-4aa8-8de9-b865bdf2165a", - "key": "keywords_0" - }, - { - "component_id": "begin@keywords", - "id": "905a395e-c995-46e3-bbb6-d844cb36ffdb", - "key": "keywords" - }, - { - "component_id": "begin@audience", - "id": "308b091e-8316-4a1f-a91d-d7b8d4f05e72", - "key": "audience" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "I want a Google search phrase to get authoritative information for my article \"{title_0} {title} {keywords_0} {keywords}\" for {audience}. Please return a search phrase of five words or less so that I can get a good overview of the topic. Include any words you're unfamiliar with in your search query.", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "Words to search" - }, - "dragging": false, - "height": 316, - "id": "Generate:PublicEmusThink", - "position": { - "x": 662.0870460792588, - "y": 164.43785727873558 - }, - "positionAbsolute": { - "x": 662.0870460792588, - "y": 164.43785727873558 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "generateNode", - "width": 200 - }, - { - "data": { - "form": { - "query": [ - { - "component_id": "Generate:PublicEmusThink", - "type": "reference" - } - ], - "top_n": 10 - }, - "label": "Baidu", - "name": "Baidu4Info" - }, - "dragging": false, - "height": 64, - "id": "Baidu:SharpSignsBeg", - "position": { - "x": 933.5156264729844, - "y": 289.6867428262425 - }, - "positionAbsolute": { - "x": 933.5156264729844, - "y": 289.6867428262425 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "ragNode", - "width": 200 - }, - { - "data": { - "form": { - "cite": false, - "frequencyPenaltyEnabled": true, - "frequency_penalty": 0.7, - "llm_id": "deepseek-chat@DeepSeek", - "maxTokensEnabled": false, - "max_tokens": 512, - "message_history_window_size": 12, - "parameter": "Precise", - "parameters": [ - { - "component_id": "begin@title", - "id": "4c567588-33d9-4886-8551-15259a007636", - "key": "title_0" - }, - { - "component_id": "Generate:StaleFriendsEat", - "id": "be668c25-74b7-4168-9aa1-46f5803120b1", - "key": "title" - }, - { - "component_id": "begin@keywords", - "id": "d1309653-e36a-4fc6-b0ba-643118c4dee7", - "key": "keywords_0" - }, - { - "component_id": "Generate:FancyMomentsTalk", - "id": "029757d4-43dd-435a-8b28-c3f49049e223", - "key": "keywords" - }, - { - "component_id": "begin@audience", - "id": "f95757f3-92e2-4e01-bc63-85ea21a22992", - "key": "audience" - }, - { - "component_id": "begin@brands_to_avoid", - "id": "7dd8968a-a5bd-46de-9666-615e7f2c59ac", - "key": "brands_to_avoid" - }, - { - "component_id": "Baidu:SharpSignsBeg", - "id": "ec7f3f31-475a-4fb0-892d-5210a116fbe3", - "key": "search_res" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "I'm an expert blogger.\nHere is some research I did for the blog post title \"{title_0} {title}\".\nThese are related search results:\n{search_res}\n\nPlease study it in depth:\n\nArticle title: {title_0} {title}\nTarget keywords: {keywords_0} {keywords}\nMy blog post\u2019s audience: {audience}\nExclude brands: {brands_to_avoid}\n\nCan you write a detailed blog outline with unique chapters? \n - The outline should include specific points and details that the article can mention. \n - AVOID generalities. \n - This SHOULD be researched in depth, not generalized.\n - Each chapter includes 7-8 projects, use some of the links above for reference if you can. For each item, don't just say \"discuss how\" but actually explain in detail the points that can be made. \n - DO NOT include things that you know are false and may contain inaccuracies. You are writing for a mature audience, avoid generalities and make specific quotes. Make sure to define key terms for users in your outline. Stay away from very controversial topics. \n - In the introduction, provide the background information needed for the rest of the article.\n - Please return in base array format and only the outline array, escaping quotes in the format. Each array item includes a complete chapter:\n[\"Includes Chapter 1 of all sub-projects\", \"Includes Chapter 2 of all sub-projects\", \"Includes Chapter 3 of all sub-projects\", \"Includes Chapter 4 of all sub-projects\"...etc.]\n - Each section SHOULD be wrapped with \"\" and ensure escaping within the content to ensure it is a valid array item.\n - MUST be in language of \"{keywords_0} {title_0}\".\n\nHere is an example of valid output. Please follow this structure and ignore the content:\n[\n \"Introduction - Explore the vibrant city of Miami, a destination that offers rich history, diverse culture, and many hidden treasures. Discover the little-known wonders that make Miami a unique destination for adventure seekers. Explore from historical landmarks to exotic places Attractions include atmospheric neighborhoods, local cuisine and lively nightlife. \",\n \"History of Miami - Begin the adventure with a journey into Miami's past. Learn about the city's transformation from a sleepy settlement to a busy metropolis. Understand the impact of multiculturalism on the city's development, as reflected in its architecture, cuisine and lifestyle See. Discover the historical significance of Miami landmarks like Hemingway's home. Uncover the fascinating stories of famous Miami neighborhoods like Key West. Explore the role of art and culture in shaping Miami, as shown at Art Basel events.\n\"Major Attractions - Go beyond Miami's famous beaches and explore the city's top attractions. Discover the artistic talent of the Wynwood Arts District, known for its vibrant street art. Visit iconic South Beach, known for its nightlife and boutiques . Explore the charming Coconut Grove district, known for its tree-lined streets and shopping areas. Visit the Holocaust Memorial Museum, a sombre reminder of a dark chapter in human history. Explore the Everglades Country, one of Miami's natural treasures. The park's diverse wildlife \",\n\"Trail Discovery - Get off the tourist trail and discover Miami's hidden treasures. Experience a water taxi tour across Biscayne Bay to get another perspective on the city. Visit the little-known Kabinett Department of Art, showcasing unique installation art . Explore the abandoned bridges and hidden bars of Duval Street and go on a culinary adventure in local neighborhoods known for their authentic cuisine. Go shopping at Brickell City Center, a trendy shopping and apartment complex in the heart of Miami. body.\",\n\"Local Cuisine - Dive into Miami's food scene and sample the city's diverse flavors. Enjoy ultra-fresh food and drinks at Bartaco, a local favorite. Experience fine dining at upscale Italian restaurants like Il Mulino New York. Explore the city \u2019s local food market and sample delicious local produce in Miami. Try a unique blend of Cuban and American cuisine that is a testament to Miami\u2019s multicultural heritage.\"\n\"Nightlife - Experience the city's lively nightlife, a perfect blend of sophistication and fun. Visit America's Social Bar & Kitchen, a sports\nA hotspot for enthusiasts. Explore the nightlife of Mary Brickell Village, known for its clubby atmosphere. Spend an evening at Smith & Walensky Miami Beach's South Point Park, known for its stunning views and vintage wines. Visit iconic Miami Beach, famous for its pulsating nightlife. \",\n \"Conclusion- Miami is more than just stunning beaches and dazzling nightlife. It is a treasure trove of experiences waiting to be discovered. From its rich history and diverse culture to its hidden treasures, local cuisine and lively nightlife, Miami has something for everyone A traveler offers a unique adventure to experience the magic of Miami Beach and create unforgettable memories with your family.\"\n]", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "Outline gen" - }, - "dragging": false, - "height": 400, - "id": "Generate:PetiteTrainsCross", - "position": { - "x": 1214.88216855105, - "y": 118.71226462600856 - }, - "positionAbsolute": { - "x": 1214.88216855105, - "y": 118.71226462600856 - }, - "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": false, - "max_tokens": 512, - "message_history_window_size": 12, - "parameter": "Precise", - "parameters": [ - { - "component_id": "begin@audience", - "id": "f19e0efd-3738-4cc8-9c40-719e7d4e2962", - "key": "audience" - }, - { - "component_id": "Generate:PetiteTrainsCross", - "id": "83ec3179-8c92-4cfc-ab57-0dc74ac7d74c", - "key": "outline" - }, - { - "component_id": "begin@keywords", - "id": "2424501d-938b-4c5c-9e67-8285ffde4c7f", - "key": "keywords" - }, - { - "component_id": "begin@title", - "id": "0e224712-a43b-4610-9482-477e86091de5", - "key": "title" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "You are an SEO expert who writes in a direct, practical, educational style that is factual rather than storytelling or narrative, focusing on explaining to {audience} the \"how\" and \"what is\" and \u201cwhy\u201d rather than narrating to the audience. \n - Please write at a sixth grade reading level. \n - ONLY output in Markdown format.\n - Use active, present tense, avoid using complex language and syntax, such as \"unravel\", \"dig deeper\", etc., \n - DO NOT provide narration.\n - Now, excluding the title, introduce the blog in 3-5 sentences. \n - Use h2 headings to write chapter titles. \n - Provide a concise, SEO-optimized title. \n - DO NOT include h3 subheadings. \n - Feel free to use bullet points, numbered lists or paragraphs, or bold text for emphasis when appropriate. \n - You should transition naturally to each section, build on each section, and should NOT repeat the same sentence structure. \n - JUST write the introduction of the article based on the outline.\n - DO NOT include title, conclusions, summaries, or summaries, no \"summaries,\" \"conclusions,\" or variations. \n - DO NOT include links or mention any companies that compete with the brand (avoid mentioning {brands_to_avoid}).\n - JUST write the introduction of the article based on the outline.\n - MUST be in language of \"{keywords} {title}\".\n\n\n{outline}\n\n\n", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "Introduction gen" - }, - "dragging": false, - "height": 274, - "id": "Generate:GreenEaglesEnjoy", - "position": { - "x": 1532.534723197473, - "y": 122.35749974588003 - }, - "positionAbsolute": { - "x": 1532.534723197473, - "y": 122.35749974588003 - }, - "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": false, - "max_tokens": 512, - "message_history_window_size": 12, - "parameter": "Precise", - "parameters": [ - { - "component_id": "begin@audience", - "id": "a5aa62b5-2974-4eba-bb98-41589589525d", - "key": "audience" - }, - { - "component_id": "begin@title", - "id": "80ad2093-85a4-42c3-acf5-0fea1194fc6c", - "key": "title_0" - }, - { - "component_id": "Generate:StaleFriendsEat", - "id": "3aed7250-fcee-40a6-823b-33b36a049fb6", - "key": "title" - }, - { - "component_id": "begin@keywords", - "id": "a457ea6d-e271-4d6e-968d-3841f358da37", - "key": "keywords_0" - }, - { - "component_id": "Generate:FancyMomentsTalk", - "id": "a22aacc2-0ad7-43bb-b971-448910af1c7e", - "key": "keywords" - }, - { - "component_id": "Generate:PetiteTrainsCross", - "id": "bc0b8dcd-70d1-4fc4-a6ee-e5b3e652e2bd", - "key": "outline" - } - ], - "presencePenaltyEnabled": true, - "presence_penalty": 0.4, - "prompt": "You are an SEO expert who writes in a direct, practical, educational style that is factual rather than storytelling or narrative, focusing on explaining to {audience} the \"how\" and \"what is\" and \u201cwhy\u201d rather than narrating to the audience. \n - Please write at a sixth grade reading level. \n - ONLY output in Markdown format.\n - Use positive, present tense expressions and avoid using complex words and sentence structures that lack narrative, such as \"reveal\" and \"dig deep.\"\n - Next, please continue writing articles related to our topic with a concise title, {title_0}{title} {keywords_0}{keywords}. \n - Please AVOID repeating what has already been written and do not use the same sentence structure. \n - JUST write the body of the article based on the outline.\n - DO NOT include introduction, title.\n - DO NOT miss anything mentioned in article outline, except introduction and title.\n - Please use the information I provide to create in-depth, interesting and unique content. Also, incorporate the references and data points I provided earlier into the article to increase its value to the reader.\n - MUST be in language of \"{keywords_0} {title_0}\".\n\n\n{outline}\n\n", - "temperature": 0.1, - "temperatureEnabled": true, - "topPEnabled": true, - "top_p": 0.3 - }, - "label": "Generate", - "name": "Body gen" - }, - "dragging": false, - "height": 360, - "id": "Generate:StupidLlamasPull", - "position": { - "x": 1529.1859991055037, - "y": 438.3975764452973 - }, - "positionAbsolute": { - "x": 1529.1859991055037, - "y": 438.3975764452973 - }, - "selected": true, - "sourcePosition": "right", - "targetPosition": "left", - "type": "generateNode", - "width": 200 - }, - { - "data": { - "form": {}, - "label": "Answer", - "name": "Interact_0" - }, - "dragging": false, - "height": 44, - "id": "Answer:TameWavesChange", - "position": { - "x": 2150.301454782809, - "y": 360.9062777128506 - }, - "positionAbsolute": { - "x": 2150.301454782809, - "y": 360.9062777128506 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "logicNode", - "width": 200 - }, - { - "data": { - "form": { - "text": "Function: Collect information such as keywords, titles, audience, words/brands to avoid, tone, and other details provided by the user.\n\nVariables:\n - keyword\uff1aKeywords\n - title\uff1aTitle, \n - audience\uff1aAudience\n - brands_to_avoid\uff1aWords/brands to avoid.\n\nMUST NOT both of keywords and title are blank." - }, - "label": "Note", - "name": "N\uff1aBegin" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 368, - "id": "Note:FruityColtsBattle", - "position": { - "x": -430.17115299591364, - "y": -320.31044749815453 - }, - "positionAbsolute": { - "x": -430.17115299591364, - "y": -320.31044749815453 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 368, - "width": 275 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 275 - }, - { - "data": { - "form": { - "text": "If title is not empty, let LLM help you to generate keywords." - }, - "label": "Note", - "name": "N: Keywords gen" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 128, - "id": "Note:SilverGiftsHide", - "position": { - "x": 100.4673650631783, - "y": 414.8198461927788 - }, - "positionAbsolute": { - "x": 100.4673650631783, - "y": 414.8198461927788 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "noteNode", - "width": 269 - }, - { - "data": { - "form": { - "text": "Use user defined keywords to search.\nNext, generate a title based on the search result.\nChange to DuckDuckGo if you want." - }, - "label": "Note", - "name": "N: Baidu4title" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 192, - "id": "Note:ShaggyMelonsFail", - "position": { - "x": 101.98068917850298, - "y": -79.85480052081127 - }, - "positionAbsolute": { - "x": 101.98068917850298, - "y": -79.85480052081127 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 192, - "width": 254 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 254 - }, - { - "data": { - "form": { - "text": "Let LLM to generate keywords to search. \nBased on the search result, the outline of the article will be generated." - }, - "label": "Note", - "name": "N: Words to search" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 132, - "id": "Note:EvilIdeasDress", - "position": { - "x": 822.1382301557384, - "y": 1.1013324480075255 - }, - "positionAbsolute": { - "x": 822.1382301557384, - "y": 1.1013324480075255 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 132, - "width": 496 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 496 - }, - { - "data": { - "form": { - "text": "1 . User input:\nThe user enters information such as avoid keywords, title, audience, required words/brands, tone, etc. at the start node.\n\n2. Conditional judgment:\nCheck whether the title is empty, if it is empty, generate the title.\n\n3. Generate titles and keywords:\nGenerate SEO optimized titles and related keywords based on the entered user keywords.\n\n4. Web search:\nUse the generated titles and keywords to conduct a Google search to obtain relevant information.\n\n5. Generate outline and articles:\nGenerate article outlines, topics, and bodies based on user input information and search results.\n\n6. Template conversion and output:\nCombine the beginning of the article and the main body to generate a complete article, and output the result." - }, - "label": "Note", - "name": "Steps" - }, - "dragHandle": ".note-drag-handle", - "dragging": false, - "height": 450, - "id": "Note:WeakApesDivide", - "position": { - "x": 377.5385839522079, - "y": 638.4606789293297 - }, - "positionAbsolute": { - "x": 377.5385839522079, - "y": 638.4606789293297 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 450, - "width": 827 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 827 - }, - { - "data": { - "form": { - "content": "\n## {title_0} {title}\n\n{introduction}\n\n{body}", - "parameters": [ - { - "component_id": "begin@title", - "id": "7667a7fe-9999-45c5-ad98-3b859ca528e4", - "key": "title_0" - }, - { - "component_id": "Generate:StaleFriendsEat", - "id": "08e21e37-d466-4b28-8c95-0320cdbafe90", - "key": "title" - }, - { - "component_id": "Generate:GreenEaglesEnjoy", - "id": "7686d544-8568-4117-86c2-9dc63eaee560", - "key": "introduction" - }, - { - "component_id": "Generate:StupidLlamasPull", - "id": "f44df8ea-13c9-4542-98a5-e2cc66c6f2de", - "key": "body" - } - ] - }, - "label": "Template", - "name": "Template trans" - }, - "dragging": false, - "height": 244, - "id": "Template:FunnyWebsPick", - "position": { - "x": 1883.3860863976101, - "y": 263.1844950766599 - }, - "positionAbsolute": { - "x": 1883.3860863976101, - "y": 263.1844950766599 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "templateNode", - "width": 200 - } - ] - }, - "history": [], - "messages": [], - "path": [], - "reference": [] + "answer": [], + "components": { + "Answer:TameWavesChange": { + "downstream": [], + "obj": { + "component_name": "Answer", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "post_answers": [], + "query": [] + } + }, + "upstream": [ + "Template:YellowPlumsYell" + ] }, + "Baidu:SharpSignsBeg": { + "downstream": [ + "Generate:FastTipsCamp" + ], + "obj": { + "component_name": "Baidu", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [ + { + "component_id": "Generate:PublicPotsPush", + "type": "reference" + } + ], + "top_n": 10 + } + }, + "upstream": [ + "Generate:PublicPotsPush" + ] + }, + "Baidu:ShyTeamsJuggle": { + "downstream": [ + "Generate:ReadyHandsInvent" + ], + "obj": { + "component_name": "Baidu", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [ + { + "component_id": "begin@keywords", + "type": "reference" + } + ], + "top_n": 10 + } + }, + "upstream": [ + "Switch:LargeWaspsSlide" + ] + }, + "Generate:CuddlyBatsCamp": { + "downstream": [ + "Template:YellowPlumsYell" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 0, + "message_history_window_size": 1, + "output": null, + "output_var_name": "output", + "parameters": [], + "presence_penalty": 0.4, + "prompt": "You are an SEO expert who writes in a direct, practical, educational style that is factual rather than storytelling or narrative, focusing on explaining to {begin@audience} the \"how\" and \"what is\" and “why” rather than narrating to the audience. \n - Please write at a sixth grade reading level. \n - ONLY output in Markdown format.\n - Use positive, present tense expressions and avoid using complex words and sentence structures that lack narrative, such as \"reveal\" and \"dig deep.\"\n - Next, please continue writing articles related to our topic with a concise title, {begin@title}{Generate:ReadyHandsInvent} {begin@keywords}{Generate:FancyMomentsTalk}. \n - Please AVOID repeating what has already been written and do not use the same sentence structure. \n - JUST write the body of the article based on the outline.\n - DO NOT include introduction, title.\n - DO NOT miss anything mentioned in article outline, except introduction and title.\n - Please use the information I provide to create in-depth, interesting and unique content. Also, incorporate the references and data points I provided earlier into the article to increase its value to the reader.\n - MUST be in language as \" {begin@keywords} {begin@title}\".\n\n\n{Generate:FastTipsCamp}\n\n", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Generate:FastTipsCamp" + ] + }, + "Generate:FancyMomentsTalk": { + "downstream": [ + "Generate:PublicPotsPush" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 12, + "output": null, + "output_var_name": "output", + "parameters": [ + { + "component_id": "begin@title", + "id": "2beef84b-204b-475a-89b3-3833bd108088", + "key": "title" + } + ], + "presence_penalty": 0.4, + "prompt": "I'm doing research for an article called {begin@title}, what relevant, high-traffic phrase should I type into Google to find this article? Just return the phrase without including any special symbols like quotes and colons.", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Switch:LargeWaspsSlide" + ] + }, + "Generate:FastTipsCamp": { + "downstream": [ + "Generate:FortyBirdsAsk", + "Generate:CuddlyBatsCamp" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 0, + "message_history_window_size": 1, + "output": null, + "output_var_name": "output", + "parameters": [], + "presence_penalty": 0.4, + "prompt": "I'm an expert blogger.\nHere is some research I did for the blog post title \" {begin@title} {Generate:ReadyHandsInvent}\".\nThese are related search results:\n{Baidu:SharpSignsBeg}\n\nPlease study it in depth:\n\nArticle title: {begin@title} {Generate:ReadyHandsInvent}\nTarget keywords: {begin@keywords} {Generate:FancyMomentsTalk}\nMy blog post’s audience: {begin@audience}\nExclude brands: {begin@brands_to_avoid}\n\nCan you write a detailed blog outline with unique chapters? \n - The outline should include specific points and details that the article can mention. \n - AVOID generalities. \n - This SHOULD be researched in depth, not generalized.\n - Each chapter includes 7-8 projects, use some of the links above for reference if you can. For each item, don't just say \"discuss how\" but actually explain in detail the points that can be made. \n - DO NOT include things that you know are false and may contain inaccuracies. You are writing for a mature audience, avoid generalities and make specific quotes. Make sure to define key terms for users in your outline. Stay away from very controversial topics. \n - In the introduction, provide the background information needed for the rest of the article.\n - Please return in base array format and only the outline array, escaping quotes in the format. Each array item includes a complete chapter:\n[\"Includes Chapter 1 of all sub-projects\", \"Includes Chapter 2 of all sub-projects\", \"Includes Chapter 3 of all sub-projects\", \"Includes Chapter 4 of all sub-projects\"...etc.]\n - Each section SHOULD be wrapped with \"\" and ensure escaping within the content to ensure it is a valid array item.\n - MUST be in language of \" {begin@keywords} {begin@title}\".\n\nHere is an example of valid output. Please follow this structure and ignore the content:\n[\n \"Introduction - Explore the vibrant city of Miami, a destination that offers rich history, diverse culture, and many hidden treasures. Discover the little-known wonders that make Miami a unique destination for adventure seekers. Explore from historical landmarks to exotic places Attractions include atmospheric neighborhoods, local cuisine and lively nightlife. \",\n \"History of Miami - Begin the adventure with a journey into Miami's past. Learn about the city's transformation from a sleepy settlement to a busy metropolis. Understand the impact of multiculturalism on the city's development, as reflected in its architecture, cuisine and lifestyle See. Discover the historical significance of Miami landmarks like Hemingway's home. Uncover the fascinating stories of famous Miami neighborhoods like Key West. Explore the role of art and culture in shaping Miami, as shown at Art Basel events.\n\"Major Attractions - Go beyond Miami's famous beaches and explore the city's top attractions. Discover the artistic talent of the Wynwood Arts District, known for its vibrant street art. Visit iconic South Beach, known for its nightlife and boutiques . Explore the charming Coconut Grove district, known for its tree-lined streets and shopping areas. Visit the Holocaust Memorial Museum, a sombre reminder of a dark chapter in human history. Explore the Everglades Country, one of Miami's natural treasures. The park's diverse wildlife \",\n\"Trail Discovery - Get off the tourist trail and discover Miami's hidden treasures. Experience a water taxi tour across Biscayne Bay to get another perspective on the city. Visit the little-known Kabinett Department of Art, showcasing unique installation art . Explore the abandoned bridges and hidden bars of Duval Street and go on a culinary adventure in local neighborhoods known for their authentic cuisine. Go shopping at Brickell City Center, a trendy shopping and apartment complex in the heart of Miami. body.\",\n\"Local Cuisine - Dive into Miami's food scene and sample the city's diverse flavors. Enjoy ultra-fresh food and drinks at Bartaco, a local favorite. Experience fine dining at upscale Italian restaurants like Il Mulino New York. Explore the city ’s local food market and sample delicious local produce in Miami. Try a unique blend of Cuban and American cuisine that is a testament to Miami’s multicultural heritage.\"\n\"Nightlife - Experience the city's lively nightlife, a perfect blend of sophistication and fun. Visit America's Social Bar & Kitchen, a sports\nA hotspot for enthusiasts. Explore the nightlife of Mary Brickell Village, known for its clubby atmosphere. Spend an evening at Smith & Walensky Miami Beach's South Point Park, known for its stunning views and vintage wines. Visit iconic Miami Beach, famous for its pulsating nightlife. \",\n \"Conclusion- Miami is more than just stunning beaches and dazzling nightlife. It is a treasure trove of experiences waiting to be discovered. From its rich history and diverse culture to its hidden treasures, local cuisine and lively nightlife, Miami has something for everyone A traveler offers a unique adventure to experience the magic of Miami Beach and create unforgettable memories with your family.\"\n]", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Baidu:SharpSignsBeg" + ] + }, + "Generate:FortyBirdsAsk": { + "downstream": [ + "Template:YellowPlumsYell" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 0, + "message_history_window_size": 1, + "output": null, + "output_var_name": "output", + "parameters": [], + "presence_penalty": 0.4, + "prompt": "You are an SEO expert who writes in a direct, practical, educational style that is factual rather than storytelling or narrative, focusing on explaining to {begin@audience} the \"how\" and \"what is\" and “why” rather than narrating to the audience. \n - Please write at a sixth grade reading level. \n - ONLY output in Markdown format.\n - Use active, present tense, avoid using complex language and syntax, such as \"unravel\", \"dig deeper\", etc., \n - DO NOT provide narration.\n - Now, excluding the title, introduce the blog in 3-5 sentences. \n - Use h2 headings to write chapter titles. \n - Provide a concise, SEO-optimized title. \n - DO NOT include h3 subheadings. \n - Feel free to use bullet points, numbered lists or paragraphs, or bold text for emphasis when appropriate. \n - You should transition naturally to each section, build on each section, and should NOT repeat the same sentence structure. \n - JUST write the introduction of the article based on the outline.\n - DO NOT include title, conclusions, summaries, or summaries, no \"summaries,\" \"conclusions,\" or variations. \n - DO NOT include links or mention any companies that compete with the brand (avoid mentioning {begin@brands_to_avoid}).\n - JUST write the introduction of the article based on the outline.\n - MUST be in language as \"{Generate:FancyMomentsTalk} {Generate:ReadyHandsInvent}\".\n\n\n{Generate:FastTipsCamp}\n\n\n", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Generate:FastTipsCamp" + ] + }, + "Generate:PublicPotsPush": { + "downstream": [ + "Baidu:SharpSignsBeg" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 1, + "output": null, + "output_var_name": "output", + "parameters": [], + "presence_penalty": 0.4, + "prompt": "I want a Google search phrase to get authoritative information for my article \" {begin@title} {Generate:ReadyHandsInvent} {begin@keywords} {Generate:FancyMomentsTalk}\" for {begin@audience}. Please return a search phrase of five words or less so that I can get a good overview of the topic. Include any words you're unfamiliar with in your search query.", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Generate:ReadyHandsInvent", + "Generate:FancyMomentsTalk" + ] + }, + "Generate:ReadyHandsInvent": { + "downstream": [ + "Generate:PublicPotsPush" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 256, + "message_history_window_size": 1, + "output": null, + "output_var_name": "output", + "parameters": [], + "presence_penalty": 0.4, + "prompt": "Role: You are an SEO expert and subject area expert. Your task is to generate an SEO article title based on the keywords provided by the user and the context of the Google search.\n\nThe context of the Google search is as follows:\n{Baidu:ShyTeamsJuggle}\nThe context of the Google search is as above.\n\nIn order to craft an SEO article title that is keyword friendly and aligns with the principles observed in the top results you share, it is important to understand why these titles are effective. Here are the principles that may help them rank high:\n1. **Keyword Placement and Clarity**: Each title directly responds to the query by containing the exact keyword or a very close variation. This clarity ensures that search engines can easily understand the relevance of the content.\n2. **Succinctness and directness**: The title is concise, making it easy to read and understand quickly. They avoid unnecessary words and get straight to the point.\n3. **Contains a definition or explanation**: The title implies that the article will define or explain the concept, which is what people searching for \"{Generate:FancyMomentsTalk}\" are looking for.\n4. **Variety of Presentation**: Despite covering similar content, each title approaches the topic from a slightly different angle. This diversity can attract the interest of a wider audience.\n\nGiven these principles, please help me generate a title that will be optimized for the keyword \"{Generate:FancyMomentsTalk}\" based on the syntax of a top-ranking title. \n\nPlease don't copy, but give better options, and avoid using language like \"master,\" \"comprehensive,\" \"discover,\" or \"reveal.\" \n\nDo not use gerunds, only active tense and present tense. \n\nTitle SHOULD be in language as \"{Generate:FancyMomentsTalk}\"\n\nJust return the title.", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Baidu:ShyTeamsJuggle" + ] + }, + "Switch:LargeWaspsSlide": { + "downstream": [ + "Baidu:ShyTeamsJuggle", + "Generate:FancyMomentsTalk" + ], + "obj": { + "component_name": "Switch", + "inputs": [], + "output": null, + "params": { + "conditions": [ + { + "items": [ + { + "cpn_id": "begin@title", + "operator": "empty" + } + ], + "logical_operator": "and", + "to": "Baidu:ShyTeamsJuggle" + } + ], + "debug_inputs": [], + "end_cpn_id": "Generate:FancyMomentsTalk", + "inputs": [], + "message_history_window_size": 22, + "operators": [ + "contains", + "not contains", + "start with", + "end with", + "empty", + "not empty", + "=", + "≠", + ">", + "<", + "≥", + "≤" + ], + "output": null, + "output_var_name": "output", + "query": [] + } + }, + "upstream": [ + "begin" + ] + }, + "Template:YellowPlumsYell": { + "downstream": [ + "Answer:TameWavesChange" + ], + "obj": { + "component_name": "Template", + "inputs": [], + "output": null, + "params": { + "content": "\n##{begin@title}{Generate:ReadyHandsInvent}\n\n{Generate:FortyBirdsAsk}\n\n\n\n{Generate:CuddlyBatsCamp}\n\n\n", + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "parameters": [], + "query": [] + } + }, + "upstream": [ + "Generate:FortyBirdsAsk", + "Generate:CuddlyBatsCamp" + ] + }, + "begin": { + "downstream": [ + "Switch:LargeWaspsSlide" + ], + "obj": { + "component_name": "Begin", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "prologue": "", + "query": [ + { + "key": "title", + "name": "Title", + "optional": true, + "type": "line" + }, + { + "key": "keywords", + "name": "Keywords", + "optional": true, + "type": "line" + }, + { + "key": "audience", + "name": "Audience", + "optional": true, + "type": "line" + }, + { + "key": "brands_to_avoid", + "name": "Brands to avoid", + "optional": true, + "type": "line" + } + ] + } + }, + "upstream": [] + } + }, + "embed_id": "", + "graph": { + "edges": [ + { + "id": "reactflow__edge-begin-Switch:LargeWaspsSlidea", + "markerEnd": "logo", + "source": "begin", + "sourceHandle": null, + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Switch:LargeWaspsSlide", + "targetHandle": "a", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Switch:LargeWaspsSlideCase 1-Baidu:ShyTeamsJugglec", + "markerEnd": "logo", + "source": "Switch:LargeWaspsSlide", + "sourceHandle": "Case 1", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Baidu:ShyTeamsJuggle", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Switch:LargeWaspsSlideend_cpn_id-Generate:FancyMomentsTalkc", + "markerEnd": "logo", + "source": "Switch:LargeWaspsSlide", + "sourceHandle": "end_cpn_id", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:FancyMomentsTalk", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "xy-edge__Baidu:ShyTeamsJuggleb-Generate:ReadyHandsInventc", + "markerEnd": "logo", + "source": "Baidu:ShyTeamsJuggle", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:ReadyHandsInvent", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + 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}, + { + "id": "xy-edge__Baidu:SharpSignsBegb-Generate:FastTipsCampc", + "markerEnd": "logo", + "source": "Baidu:SharpSignsBeg", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:FastTipsCamp", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Generate:FastTipsCampb-Generate:FortyBirdsAskc", + "markerEnd": "logo", + "source": "Generate:FastTipsCamp", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:FortyBirdsAsk", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Generate:FastTipsCampb-Generate:CuddlyBatsCampc", + "markerEnd": "logo", + "source": "Generate:FastTipsCamp", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:CuddlyBatsCamp", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Generate:FortyBirdsAskb-Template:YellowPlumsYellc", + "markerEnd": "logo", + "source": "Generate:FortyBirdsAsk", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Template:YellowPlumsYell", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Generate:CuddlyBatsCampb-Template:YellowPlumsYellc", + "markerEnd": "logo", + "source": "Generate:CuddlyBatsCamp", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Template:YellowPlumsYell", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Template:YellowPlumsYellb-Answer:TameWavesChangec", + "markerEnd": "logo", + "source": "Template:YellowPlumsYell", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:TameWavesChange", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + } + ], + "nodes": [ + { + "data": { + "form": { + "prologue": "", + "query": [ + { + "key": "title", + "name": "Title", + "optional": true, + "type": "line" + }, + { + "key": "keywords", + "name": "Keywords", + "optional": true, + "type": "line" + }, + { + "key": "audience", + "name": "Audience", + "optional": true, + "type": "line" + }, + { + "key": "brands_to_avoid", + "name": "Brands to avoid", + "optional": true, + "type": "line" + } + ] + }, + "label": "Begin", + "name": "begin" + }, + "dragging": false, + "height": 212, + "id": "begin", + "measured": { + "height": 212, + "width": 200 + }, + "position": { + "x": -432.2850120660528, + "y": 82.47567395502324 + }, + "positionAbsolute": { + "x": -432.2850120660528, + "y": 82.47567395502324 + }, + "selected": false, + "sourcePosition": "left", + "targetPosition": "right", + "type": "beginNode", + "width": 200 + }, + { + "data": { + "form": { + "conditions": [ + { + "items": [ + { + "cpn_id": "begin@title", + "operator": "empty" + } + ], + "logical_operator": "and", + "to": "Baidu:ShyTeamsJuggle" + } + ], + "end_cpn_id": "Generate:FancyMomentsTalk" + }, + "label": "Switch", + "name": "Empty title?" + }, + "dragging": false, + "height": 164, + "id": "Switch:LargeWaspsSlide", + "measured": { + "height": 164, + "width": 200 + }, + "position": { + "x": -171.8139076194234, + "y": 106.58178484885428 + }, + "positionAbsolute": { + "x": -171.8139076194234, + "y": 106.58178484885428 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "switchNode", + "width": 200 + }, + { + "data": { + "form": { + "query": [ + { + "component_id": "begin@keywords", + "type": "reference" + } + ], + "top_n": 10 + }, + "label": "Baidu", + "name": "Baidu4title" + }, + "dragging": false, + "height": 64, + "id": "Baidu:ShyTeamsJuggle", + "measured": { + "height": 64, + "width": 200 + }, + "position": { + "x": 99.2698941117485, + "y": 131.97513574677558 + }, + "positionAbsolute": { + "x": 99.2698941117485, + "y": 131.97513574677558 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "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": [ + { + "component_id": "begin@title", + "id": "2beef84b-204b-475a-89b3-3833bd108088", + "key": "title" + } + ], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "I'm doing research for an article called {begin@title}, what relevant, high-traffic phrase should I type into Google to find this article? Just return the phrase without including any special symbols like quotes and colons.", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Keywords gen" + }, + "dragging": false, + "height": 148, + "id": "Generate:FancyMomentsTalk", + "measured": { + "height": 148, + "width": 200 + }, + "position": { + "x": 102.41401952481024, + "y": 250.74278147746412 + }, + "positionAbsolute": { + "x": 102.41401952481024, + "y": 250.74278147746412 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode", + "width": 200 + }, + { + "data": { + "form": { + "query": [ + { + "component_id": "Generate:PublicPotsPush", + "type": "reference" + } + ], + "top_n": 10 + }, + "label": "Baidu", + "name": "Baidu4Info" + }, + "dragging": false, + "height": 64, + "id": "Baidu:SharpSignsBeg", + "measured": { + "height": 64, + "width": 200 + }, + "position": { + "x": 932.3075370153801, + "y": 293.31101119905543 + }, + "positionAbsolute": { + "x": 933.5156264729844, + "y": 289.6867428262425 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 + }, + { + "data": { + "form": {}, + "label": "Answer", + "name": "Interact_0" + }, + "dragging": false, + "height": 44, + "id": "Answer:TameWavesChange", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": 2067.9179213988796, + "y": 373.3415280349531 + }, + "positionAbsolute": { + "x": 2150.301454782809, + "y": 360.9062777128506 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "logicNode", + "width": 200 + }, + { + "data": { + "form": { + "text": "Function: Collect information such as keywords, titles, audience, words/brands to avoid, tone, and other details provided by the user.\n\nVariables:\n - keyword：Keywords\n - title：Title, \n - audience：Audience\n - brands_to_avoid：Words/brands to avoid.\n\nMUST NOT both of keywords and title are blank." + }, + "label": "Note", + "name": "N：Begin" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 368, + "id": "Note:FruityColtsBattle", + "measured": { + "height": 368, + "width": 275 + }, + "position": { + "x": -430.17115299591364, + "y": -320.31044749815453 + }, + "positionAbsolute": { + "x": -430.17115299591364, + "y": -320.31044749815453 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 368, + "width": 275 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 275 + }, + { + "data": { + "form": { + "text": "If title is not empty, let LLM help you to generate keywords." + }, + "label": "Note", + "name": "N: Keywords gen" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:SilverGiftsHide", + "measured": { + "height": 128, + "width": 269 + }, + "position": { + "x": 100.4673650631783, + "y": 414.8198461927788 + }, + "positionAbsolute": { + "x": 100.4673650631783, + "y": 414.8198461927788 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode", + "width": 269 + }, + { + "data": { + "form": { + "text": "Use user defined keywords to search.\nNext, generate a title based on the search result.\nChange to DuckDuckGo if you want." + }, + "label": "Note", + "name": "N: Baidu4title" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 192, + "id": "Note:ShaggyMelonsFail", + "measured": { + "height": 192, + "width": 254 + }, + "position": { + "x": 101.98068917850298, + "y": -79.85480052081127 + }, + "positionAbsolute": { + "x": 101.98068917850298, + "y": -79.85480052081127 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 192, + "width": 254 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 254 + }, + { + "data": { + "form": { + "text": "Let LLM to generate keywords to search. \nBased on the search result, the outline of the article will be generated." + }, + "label": "Note", + "name": "N: Words to search" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 132, + "id": "Note:EvilIdeasDress", + "measured": { + "height": 132, + "width": 496 + }, + "position": { + "x": 822.1382301557384, + "y": 1.1013324480075255 + }, + "positionAbsolute": { + "x": 822.1382301557384, + "y": 1.1013324480075255 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 132, + "width": 496 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 496 + }, + { + "data": { + "form": { + "text": "1 . User input:\nThe user enters information such as avoid keywords, title, audience, required words/brands, tone, etc. at the start node.\n\n2. Conditional judgment:\nCheck whether the title is empty, if it is empty, generate the title.\n\n3. Generate titles and keywords:\nGenerate SEO optimized titles and related keywords based on the entered user keywords.\n\n4. Web search:\nUse the generated titles and keywords to conduct a Google search to obtain relevant information.\n\n5. Generate outline and articles:\nGenerate article outlines, topics, and bodies based on user input information and search results.\n\n6. Template conversion and output:\nCombine the beginning of the article and the main body to generate a complete article, and output the result." + }, + "label": "Note", + "name": "Steps" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 456, + "id": "Note:WeakApesDivide", + "measured": { + "height": 456, + "width": 955 + }, + "position": { + "x": 441.5385839522079, + "y": 638.4606789293297 + }, + "positionAbsolute": { + "x": 377.5385839522079, + "y": 638.4606789293297 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 450, + "width": 827 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 955 + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 1, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "Role: You are an SEO expert and subject area expert. Your task is to generate an SEO article title based on the keywords provided by the user and the context of the Google search.\n\nThe context of the Google search is as follows:\n{Baidu:ShyTeamsJuggle}\nThe context of the Google search is as above.\n\nIn order to craft an SEO article title that is keyword friendly and aligns with the principles observed in the top results you share, it is important to understand why these titles are effective. Here are the principles that may help them rank high:\n1. **Keyword Placement and Clarity**: Each title directly responds to the query by containing the exact keyword or a very close variation. This clarity ensures that search engines can easily understand the relevance of the content.\n2. **Succinctness and directness**: The title is concise, making it easy to read and understand quickly. They avoid unnecessary words and get straight to the point.\n3. **Contains a definition or explanation**: The title implies that the article will define or explain the concept, which is what people searching for \"{Generate:FancyMomentsTalk}\" are looking for.\n4. **Variety of Presentation**: Despite covering similar content, each title approaches the topic from a slightly different angle. This diversity can attract the interest of a wider audience.\n\nGiven these principles, please help me generate a title that will be optimized for the keyword \"{Generate:FancyMomentsTalk}\" based on the syntax of a top-ranking title. \n\nPlease don't copy, but give better options, and avoid using language like \"master,\" \"comprehensive,\" \"discover,\" or \"reveal.\" \n\nDo not use gerunds, only active tense and present tense. \n\nTitle SHOULD be in language as \"{Generate:FancyMomentsTalk}\"\n\nJust return the title.", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Title Gen" + }, + "dragging": false, + "id": "Generate:ReadyHandsInvent", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": 362.61841535531624, + "y": 109.52633857873508 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 1, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "I want a Google search phrase to get authoritative information for my article \" {begin@title} {Generate:ReadyHandsInvent} {begin@keywords} {Generate:FancyMomentsTalk}\" for {begin@audience}. Please return a search phrase of five words or less so that I can get a good overview of the topic. Include any words you're unfamiliar with in your search query.", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Words to search" + }, + "dragging": false, + "id": "Generate:PublicPotsPush", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": 631.7110159663526, + "y": 271.70568678331114 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": false, + "max_tokens": 256, + "message_history_window_size": 1, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "I'm an expert blogger.\nHere is some research I did for the blog post title \" {begin@title} {Generate:ReadyHandsInvent}\".\nThese are related search results:\n{Baidu:SharpSignsBeg}\n\nPlease study it in depth:\n\nArticle title: {begin@title} {Generate:ReadyHandsInvent}\nTarget keywords: {begin@keywords} {Generate:FancyMomentsTalk}\nMy blog post’s audience: {begin@audience}\nExclude brands: {begin@brands_to_avoid}\n\nCan you write a detailed blog outline with unique chapters? \n - The outline should include specific points and details that the article can mention. \n - AVOID generalities. \n - This SHOULD be researched in depth, not generalized.\n - Each chapter includes 7-8 projects, use some of the links above for reference if you can. For each item, don't just say \"discuss how\" but actually explain in detail the points that can be made. \n - DO NOT include things that you know are false and may contain inaccuracies. You are writing for a mature audience, avoid generalities and make specific quotes. Make sure to define key terms for users in your outline. Stay away from very controversial topics. \n - In the introduction, provide the background information needed for the rest of the article.\n - Please return in base array format and only the outline array, escaping quotes in the format. Each array item includes a complete chapter:\n[\"Includes Chapter 1 of all sub-projects\", \"Includes Chapter 2 of all sub-projects\", \"Includes Chapter 3 of all sub-projects\", \"Includes Chapter 4 of all sub-projects\"...etc.]\n - Each section SHOULD be wrapped with \"\" and ensure escaping within the content to ensure it is a valid array item.\n - MUST be in language of \" {begin@keywords} {begin@title}\".\n\nHere is an example of valid output. Please follow this structure and ignore the content:\n[\n \"Introduction - Explore the vibrant city of Miami, a destination that offers rich history, diverse culture, and many hidden treasures. Discover the little-known wonders that make Miami a unique destination for adventure seekers. Explore from historical landmarks to exotic places Attractions include atmospheric neighborhoods, local cuisine and lively nightlife. \",\n \"History of Miami - Begin the adventure with a journey into Miami's past. Learn about the city's transformation from a sleepy settlement to a busy metropolis. Understand the impact of multiculturalism on the city's development, as reflected in its architecture, cuisine and lifestyle See. Discover the historical significance of Miami landmarks like Hemingway's home. Uncover the fascinating stories of famous Miami neighborhoods like Key West. Explore the role of art and culture in shaping Miami, as shown at Art Basel events.\n\"Major Attractions - Go beyond Miami's famous beaches and explore the city's top attractions. Discover the artistic talent of the Wynwood Arts District, known for its vibrant street art. Visit iconic South Beach, known for its nightlife and boutiques . Explore the charming Coconut Grove district, known for its tree-lined streets and shopping areas. Visit the Holocaust Memorial Museum, a sombre reminder of a dark chapter in human history. Explore the Everglades Country, one of Miami's natural treasures. The park's diverse wildlife \",\n\"Trail Discovery - Get off the tourist trail and discover Miami's hidden treasures. Experience a water taxi tour across Biscayne Bay to get another perspective on the city. Visit the little-known Kabinett Department of Art, showcasing unique installation art . Explore the abandoned bridges and hidden bars of Duval Street and go on a culinary adventure in local neighborhoods known for their authentic cuisine. Go shopping at Brickell City Center, a trendy shopping and apartment complex in the heart of Miami. body.\",\n\"Local Cuisine - Dive into Miami's food scene and sample the city's diverse flavors. Enjoy ultra-fresh food and drinks at Bartaco, a local favorite. Experience fine dining at upscale Italian restaurants like Il Mulino New York. Explore the city ’s local food market and sample delicious local produce in Miami. Try a unique blend of Cuban and American cuisine that is a testament to Miami’s multicultural heritage.\"\n\"Nightlife - Experience the city's lively nightlife, a perfect blend of sophistication and fun. Visit America's Social Bar & Kitchen, a sports\nA hotspot for enthusiasts. Explore the nightlife of Mary Brickell Village, known for its clubby atmosphere. Spend an evening at Smith & Walensky Miami Beach's South Point Park, known for its stunning views and vintage wines. Visit iconic Miami Beach, famous for its pulsating nightlife. \",\n \"Conclusion- Miami is more than just stunning beaches and dazzling nightlife. It is a treasure trove of experiences waiting to be discovered. From its rich history and diverse culture to its hidden treasures, local cuisine and lively nightlife, Miami has something for everyone A traveler offers a unique adventure to experience the magic of Miami Beach and create unforgettable memories with your family.\"\n]", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Outline gen" + }, + "dragging": false, + "id": "Generate:FastTipsCamp", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": 1188.847302971411, + "y": 272.42758089250634 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": false, + "max_tokens": 256, + "message_history_window_size": 1, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "You are an SEO expert who writes in a direct, practical, educational style that is factual rather than storytelling or narrative, focusing on explaining to {begin@audience} the \"how\" and \"what is\" and “why” rather than narrating to the audience. \n - Please write at a sixth grade reading level. \n - ONLY output in Markdown format.\n - Use active, present tense, avoid using complex language and syntax, such as \"unravel\", \"dig deeper\", etc., \n - DO NOT provide narration.\n - Now, excluding the title, introduce the blog in 3-5 sentences. \n - Use h2 headings to write chapter titles. \n - Provide a concise, SEO-optimized title. \n - DO NOT include h3 subheadings. \n - Feel free to use bullet points, numbered lists or paragraphs, or bold text for emphasis when appropriate. \n - You should transition naturally to each section, build on each section, and should NOT repeat the same sentence structure. \n - JUST write the introduction of the article based on the outline.\n - DO NOT include title, conclusions, summaries, or summaries, no \"summaries,\" \"conclusions,\" or variations. \n - DO NOT include links or mention any companies that compete with the brand (avoid mentioning {begin@brands_to_avoid}).\n - JUST write the introduction of the article based on the outline.\n - MUST be in language as \"{Generate:FancyMomentsTalk} {Generate:ReadyHandsInvent}\".\n\n\n{Generate:FastTipsCamp}\n\n\n", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Introduction gen" + }, + "dragging": false, + "id": "Generate:FortyBirdsAsk", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": 1467.1832072218494, + "y": 273.6641444369902 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": false, + "max_tokens": 256, + "message_history_window_size": 1, + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "You are an SEO expert who writes in a direct, practical, educational style that is factual rather than storytelling or narrative, focusing on explaining to {begin@audience} the \"how\" and \"what is\" and “why” rather than narrating to the audience. \n - Please write at a sixth grade reading level. \n - ONLY output in Markdown format.\n - Use positive, present tense expressions and avoid using complex words and sentence structures that lack narrative, such as \"reveal\" and \"dig deep.\"\n - Next, please continue writing articles related to our topic with a concise title, {begin@title}{Generate:ReadyHandsInvent} {begin@keywords}{Generate:FancyMomentsTalk}. \n - Please AVOID repeating what has already been written and do not use the same sentence structure. \n - JUST write the body of the article based on the outline.\n - DO NOT include introduction, title.\n - DO NOT miss anything mentioned in article outline, except introduction and title.\n - Please use the information I provide to create in-depth, interesting and unique content. Also, incorporate the references and data points I provided earlier into the article to increase its value to the reader.\n - MUST be in language as \" {begin@keywords} {begin@title}\".\n\n\n{Generate:FastTipsCamp}\n\n", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + }, + "label": "Generate", + "name": "Body gen" + }, + "dragging": false, + "id": "Generate:CuddlyBatsCamp", + "measured": { + "height": 108, + "width": 200 + }, + "position": { + "x": 1459.030461505832, + "y": 430.80927477654984 + }, + "selected": true, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" + }, + { + "data": { + "form": { + "content": "\n##{begin@title}{Generate:ReadyHandsInvent}\n\n{Generate:FortyBirdsAsk}\n\n\n\n{Generate:CuddlyBatsCamp}\n\n\n", + "parameters": [] + }, + "label": "Template", + "name": "Template trans" + }, + "dragging": false, + "id": "Template:YellowPlumsYell", + "measured": { + "height": 76, + "width": 200 + }, + "position": { + "x": 1784.1452214476085, + "y": 356.5796437282643 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "templateNode" + } + ] + }, + "history": [], + "messages": [], + "path": [], + "reference": [] + }, "avatar": 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" } \ No newline at end of file diff --git a/agent/templates/text2sql.json b/agent/templates/text2sql.json index c5a62d19..c5c65cf3 100644 --- a/agent/templates/text2sql.json +++ b/agent/templates/text2sql.json @@ -4,582 +4,649 @@ "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": { - "begin": { - "obj": { - "component_name": "Begin", - "params": {} - }, - "downstream": [ - "Answer:SocialAdsWonder" - ], - "upstream": [] + "answer": [], + "components": { + "Answer:SocialAdsWonder": { + "downstream": [ + "Retrieval:TrueCornersJam", + "Retrieval:EasyDryersShop", + "Retrieval:LazyChefsWatch" + ], + "obj": { + "component_name": "Answer", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "post_answers": [], + "query": [] + } }, - "Answer:SocialAdsWonder": { - "obj": { - "component_name": "Answer", - "params": {} - }, - "downstream": [ - "Retrieval:TrueCornersJam", - "Retrieval:EasyDryersShop", - "Retrieval:LazyChefsWatch" - ], - "upstream": [ - "begin", - "Generate:RareSymbolsGrin" - ] + "upstream": [ + "begin", + "Generate:CurlyFalconsWorry" + ] + }, + "Generate:CurlyFalconsWorry": { + "downstream": [ + "Answer:SocialAdsWonder" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": false, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "max_tokens": 0, + "message_history_window_size": 1, + "output": null, + "output_var_name": "output", + "parameters": [], + "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: {Retrieval:TrueCornersJam}.\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: {Retrieval:LazyChefsWatch}.\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: {Retrieval:EasyDryersShop}.\n\n", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } }, - "Retrieval:TrueCornersJam": { - "obj": { - "component_name": "Retrieval", - "params": { + "upstream": [ + "Retrieval:LazyChefsWatch", + "Retrieval:EasyDryersShop", + "Retrieval:TrueCornersJam" + ] + }, + "Retrieval:EasyDryersShop": { + "downstream": [ + "Generate:CurlyFalconsWorry" + ], + "obj": { + "component_name": "Retrieval", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "empty_response": "Nothing found in Q-SQL!", + "inputs": [], + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [], + "rerank_id": "", + "similarity_threshold": 0.2, + "top_k": 1024, + "top_n": 8 + } + }, + "upstream": [ + "Answer:SocialAdsWonder" + ] + }, + "Retrieval:LazyChefsWatch": { + "downstream": [ + "Generate:CurlyFalconsWorry" + ], + "obj": { + "component_name": "Retrieval", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "empty_response": "Nothing found in DB-Description!", + "inputs": [], + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [], + "rerank_id": "", + "similarity_threshold": 0.2, + "top_k": 1024, + "top_n": 8 + } + }, + "upstream": [ + "Answer:SocialAdsWonder" + ] + }, + "Retrieval:TrueCornersJam": { + "downstream": [ + "Generate:CurlyFalconsWorry" + ], + "obj": { + "component_name": "Retrieval", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "empty_response": "Nothing found in DDL!", + "inputs": [], + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [], + "rerank_id": "", + "similarity_threshold": 0.02, + "top_k": 1024, + "top_n": 8 + } + }, + "upstream": [ + "Answer:SocialAdsWonder" + ] + }, + "begin": { + "downstream": [ + "Answer:SocialAdsWonder" + ], + "obj": { + "component_name": "Begin", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "prologue": "Hi! I'm your smart assistant. What can I do for you?", + "query": [] + } + }, + "upstream": [] + } + }, + "embed_id": "", + "graph": { + "edges": [ + { + "id": "reactflow__edge-begin-Answer:SocialAdsWonderc", + "markerEnd": "logo", + "source": "begin", + "sourceHandle": null, + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:SocialAdsWonder", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Answer:SocialAdsWonderb-Retrieval:TrueCornersJamc", + "markerEnd": "logo", + "source": "Answer:SocialAdsWonder", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Retrieval:TrueCornersJam", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Answer:SocialAdsWonderb-Retrieval:EasyDryersShopc", + "markerEnd": "logo", + "source": "Answer:SocialAdsWonder", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Retrieval:EasyDryersShop", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-Answer:SocialAdsWonderb-Retrieval:LazyChefsWatchc", + "markerEnd": "logo", + "source": "Answer:SocialAdsWonder", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Retrieval:LazyChefsWatch", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "xy-edge__Retrieval:LazyChefsWatchb-Generate:CurlyFalconsWorryb", + "markerEnd": "logo", + "source": "Retrieval:LazyChefsWatch", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:CurlyFalconsWorry", + "targetHandle": "b", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Retrieval:EasyDryersShopb-Generate:CurlyFalconsWorryb", + "markerEnd": "logo", + "source": "Retrieval:EasyDryersShop", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:CurlyFalconsWorry", + "targetHandle": "b", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Retrieval:TrueCornersJamb-Generate:CurlyFalconsWorryb", + "markerEnd": "logo", + "source": "Retrieval:TrueCornersJam", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:CurlyFalconsWorry", + "targetHandle": "b", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Generate:CurlyFalconsWorryc-Answer:SocialAdsWonderc", + "markerEnd": "logo", + "source": "Generate:CurlyFalconsWorry", + "sourceHandle": "c", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:SocialAdsWonder", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + } + ], + "nodes": [ + { + "data": { + "label": "Begin", + "name": "begin" + }, + "dragging": false, + "height": 44, + "id": "begin", + "measured": { + "height": 44, + "width": 100 + }, + "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", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": -237.69220760465112, + "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 - 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"Retrieval:LazyChefsWatch": { - "obj": { - "component_name": "Retrieval", - "params": { + { + "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" }, - "downstream": [ - "Generate:RareSymbolsGrin" - ], - "upstream": [ - "Answer:SocialAdsWonder" - ] + "dragging": false, + "height": 44, + "id": "Retrieval:LazyChefsWatch", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": 51.228157704293324, + "y": 252.77721891325103 + }, + "positionAbsolute": { + "x": 51.228157704293324, + "y": 252.77721891325103 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "retrievalNode", + "width": 200 }, - "Generate:RareSymbolsGrin": { - "obj": { - "component_name": "Generate", - "params": { - "cite": true, + { + "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" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 132, + "id": "Note:GentleRabbitsWonder", + "measured": { + "height": 132, + "width": 324 + }, + "position": { + "x": -287.3066094433631, + "y": -30.808189185380513 + }, + "positionAbsolute": { + "x": -287.3066094433631, + "y": -30.808189185380513 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 132, + "width": 324 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 324 + }, + { + "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: LLM" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 163, + "id": "Note:SixCitiesJoke", + "measured": { + "height": 163, + "width": 334 + }, + "position": { + "x": 19.243366453487255, + "y": 531.9336820600888 + }, + "positionAbsolute": { + "x": 5.12121582244032, + "y": 637.6539219843564 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 147, + "width": 326 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 334 + }, + { + "data": { + "form": { + "text": "Searches for description about meanings of tables and fields." + }, + "label": "Note", + "name": "N: DB description" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:FamousCarpetsTaste", + "measured": { + "height": 128, + "width": 269 + }, + "position": { + "x": 399.9267065852242, + "y": 250.0329701879931 + }, + "positionAbsolute": { + "x": 399.9267065852242, + "y": 250.0329701879931 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode", + "width": 269 + }, + { + "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" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 140, + "id": "Note:PoliteBeesArrive", + "measured": { + "height": 140, + "width": 455 + }, + "position": { + "x": 491.0393427986917, + "y": 96.58232093146341 + }, + "positionAbsolute": { + "x": 489.0393427986917, + "y": 96.58232093146341 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 130, + "width": 451 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 455 + }, + { + "data": { + "form": { + "text": "DDL(Data Definition Language).\n\nSearches for relevant 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" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 272, + "id": "Note:SmartWingsDouble", + "measured": { + "height": 272, + "width": 288 + }, + "position": { + "x": 406.6930553966363, + "y": -208.84980249039137 + }, + "positionAbsolute": { + "x": 404.1930553966363, + "y": -208.84980249039137 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 258, + "width": 283 + }, + "targetPosition": "left", + "type": "noteNode", + "width": 288 + }, + { + "data": { + "form": { + "cite": false, + "frequencyPenaltyEnabled": true, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", + "maxTokensEnabled": false, "max_tokens": 256, - 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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}.", + "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: {Retrieval:TrueCornersJam}.\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: {Retrieval:LazyChefsWatch}.\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: {Retrieval:EasyDryersShop}.\n\n", "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, "top_p": 0.3 - } + }, + "label": "Generate", + "name": "GenSQL" }, - "downstream": [ - "Answer:SocialAdsWonder" - ], - "upstream": [ - "Retrieval:TrueCornersJam", - "Retrieval:EasyDryersShop", - "Retrieval:LazyChefsWatch" - ] + "dragging": false, + "id": "Generate:CurlyFalconsWorry", + "measured": { + "height": 106, + "width": 200 + }, + "position": { + "x": 10.728415797190792, + "y": 410.2569651241076 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" } - }, - "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" - }, - "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" - } - ], - "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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"stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:RareSymbolsGrin", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:RareSymbolsGrinc-Answer:SocialAdsWonderc", - "markerEnd": "logo", - "source": "Generate:RareSymbolsGrin", - "sourceHandle": "c", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:SocialAdsWonder", - "targetHandle": "c", - "type": "buttonEdge" - } - ] - }, - "history": [], - "messages": [], - "path": [], - "reference": [] + ] }, + "history": [], + "messages": [], + "path": [], + "reference": [] + }, "avatar": 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" } diff --git a/agent/templates/websearch_assistant.json b/agent/templates/websearch_assistant.json index 390c83c4..04c4a153 100644 --- a/agent/templates/websearch_assistant.json +++ b/agent/templates/websearch_assistant.json @@ -4,85 +4,609 @@ "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": { - "begin": { - "obj": { - "component_name": "Begin", - "params": {} - }, - "downstream": [ - "Answer:PoorMapsCover" - ], - "upstream": [] + "answer": [], + "components": { + "Answer:PoorMapsCover": { + "downstream": [ + "RewriteQuestion:OrangeBottlesSwim" + ], + "obj": { + "component_name": "Answer", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "post_answers": [], + "query": [] + } }, - "Answer:PoorMapsCover": { - "obj": { - "component_name": "Answer", - "params": {} - }, - "downstream": [ - "RewriteQuestion:OrangeBottlesSwim" - ], - "upstream": [ - "begin", - "Generate:GreatCarrotsDecide" - ] + "upstream": [ + "begin", + "Generate:ItchyRiversDrum" + ] + }, + "Baidu:OliveAreasCall": { + "downstream": [ + "Generate:ItchyRiversDrum" + ], + "obj": { + "component_name": "Baidu", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [ + { + "component_id": "KeywordExtract:BeigeTipsStand", + "type": "reference" + } + ], + "top_n": 2 + } }, - "Wikipedia:WittyRiceLearn": { - "obj": { - "component_name": "Wikipedia", - "params": { + "upstream": [ + "KeywordExtract:BeigeTipsStand" + ] + }, + "DuckDuckGo:SoftButtonsRefuse": { + "downstream": [ + "Generate:ItchyRiversDrum" + ], + "obj": { + "component_name": "DuckDuckGo", + "inputs": [], + "output": null, + "params": { + "channel": "text", + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [ + { + "component_id": "KeywordExtract:BeigeTipsStand", + "type": "reference" + } + ], + "top_n": 2 + } + }, + "upstream": [ + "KeywordExtract:BeigeTipsStand" + ] + }, + "Generate:ItchyRiversDrum": { + "downstream": [ + "Answer:PoorMapsCover" + ], + "obj": { + "component_name": "Generate", + "inputs": [], + "output": null, + "params": { + "cite": true, + "debug_inputs": [], + "frequency_penalty": 0.7, + "inputs": [], + "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 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{Retrieval:SilentCamelsStick}\n\n\n## Wikipedia content\n{Wikipedia:WittyRiceLearn}\n\n\n## Duckduckgo content\n{DuckDuckGo:SoftButtonsRefuse}\n\n\n## Baidu content\n{Baidu:OliveAreasCall}\n\n", + "query": [], + "temperature": 0.1, + "top_p": 0.3 + } + }, + "upstream": [ + "Retrieval:SilentCamelsStick", + "Wikipedia:WittyRiceLearn", + "Baidu:OliveAreasCall", + "DuckDuckGo:SoftButtonsRefuse" + ] + }, + "KeywordExtract:BeigeTipsStand": { + "downstream": [ + "Baidu:OliveAreasCall", + "DuckDuckGo:SoftButtonsRefuse", + "Wikipedia:WittyRiceLearn" + ], + "obj": { + "component_name": "KeywordExtract", + "inputs": [], + "output": null, + "params": { + "cite": true, + "debug_inputs": [], + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "inputs": [], + "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": "", + "query": [], + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_n": 2, + "top_p": 0.3 + } + }, + "upstream": [ + "RewriteQuestion:OrangeBottlesSwim" + ] + }, + "Retrieval:SilentCamelsStick": { + "downstream": [ + "Generate:ItchyRiversDrum" + ], + "obj": { + "component_name": "Retrieval", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "empty_response": "The answer you want was not found in the knowledge base!", + "inputs": [], + "kb_ids": [], + "keywords_similarity_weight": 0.3, + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [], + "rerank_id": "", + "similarity_threshold": 0.2, + "top_k": 1024, + "top_n": 8 + } + }, + "upstream": [ + "RewriteQuestion:OrangeBottlesSwim" + ] + }, + "RewriteQuestion:OrangeBottlesSwim": { + "downstream": [ + "KeywordExtract:BeigeTipsStand", + "Retrieval:SilentCamelsStick" + ], + "obj": { + "component_name": "RewriteQuestion", + "inputs": [], + "output": null, + "params": { + "cite": true, + "debug_inputs": [], + "frequencyPenaltyEnabled": true, + "frequency_penalty": 0.7, + "inputs": [], + "llm_id": "deepseek-chat@DeepSeek", + "loop": 1, + "maxTokensEnabled": true, + "max_tokens": 256, + "message_history_window_size": 6, + "output": null, + "output_var_name": "output", + "parameter": "Precise", + "parameters": [], + "presencePenaltyEnabled": true, + "presence_penalty": 0.4, + "prompt": "", + "query": [], + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 + } + }, + "upstream": [ + "Answer:PoorMapsCover" + ] + }, + "Wikipedia:WittyRiceLearn": { + "downstream": [ + "Generate:ItchyRiversDrum" + ], + "obj": { + "component_name": "Wikipedia", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "language": "en", + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "query": [ + { + "component_id": "KeywordExtract:BeigeTipsStand", + "type": "reference" + } + ], + "top_n": 2 + } + }, + "upstream": [ + "KeywordExtract:BeigeTipsStand" + ] + }, + "begin": { + "downstream": [ + "Answer:PoorMapsCover" + ], + "obj": { + "component_name": "Begin", + "inputs": [], + "output": null, + "params": { + "debug_inputs": [], + "inputs": [], + "message_history_window_size": 22, + "output": null, + "output_var_name": "output", + "prologue": "Hi! I'm your smart assistant. What can I do for you?", + "query": [] + } + }, + "upstream": [] + } + }, + "embed_id": "", + "graph": { + "edges": [ + { + "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" + }, + { + "id": "reactflow__edge-Answer:PoorMapsCoverb-RewriteQuestion:OrangeBottlesSwimc", + "markerEnd": "logo", + "source": "Answer:PoorMapsCover", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "RewriteQuestion:OrangeBottlesSwim", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-RewriteQuestion:OrangeBottlesSwimb-KeywordExtract:BeigeTipsStandc", + "markerEnd": "logo", + "source": "RewriteQuestion:OrangeBottlesSwim", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "KeywordExtract:BeigeTipsStand", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-KeywordExtract:BeigeTipsStandb-Baidu:OliveAreasCallc", + "markerEnd": "logo", + "source": "KeywordExtract:BeigeTipsStand", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Baidu:OliveAreasCall", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-KeywordExtract:BeigeTipsStandb-DuckDuckGo:SoftButtonsRefusec", + "markerEnd": "logo", + "source": "KeywordExtract:BeigeTipsStand", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "DuckDuckGo:SoftButtonsRefuse", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-KeywordExtract:BeigeTipsStandb-Wikipedia:WittyRiceLearnc", + "markerEnd": "logo", + "source": "KeywordExtract:BeigeTipsStand", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Wikipedia:WittyRiceLearn", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "reactflow__edge-RewriteQuestion:OrangeBottlesSwimb-Retrieval:SilentCamelsStickc", + "markerEnd": "logo", + "source": "RewriteQuestion:OrangeBottlesSwim", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Retrieval:SilentCamelsStick", + "targetHandle": "c", + "type": "buttonEdge" + }, + { + "id": "xy-edge__Generate:ItchyRiversDrumc-Answer:PoorMapsCoverc", + "markerEnd": "logo", + "source": "Generate:ItchyRiversDrum", + "sourceHandle": "c", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Answer:PoorMapsCover", + "targetHandle": "c", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Retrieval:SilentCamelsStickb-Generate:ItchyRiversDrumb", + "markerEnd": "logo", + "source": "Retrieval:SilentCamelsStick", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:ItchyRiversDrum", + "targetHandle": "b", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Wikipedia:WittyRiceLearnb-Generate:ItchyRiversDrumb", + "markerEnd": "logo", + "source": "Wikipedia:WittyRiceLearn", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:ItchyRiversDrum", + "targetHandle": "b", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__Baidu:OliveAreasCallb-Generate:ItchyRiversDrumb", + "markerEnd": "logo", + "source": "Baidu:OliveAreasCall", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:ItchyRiversDrum", + "targetHandle": "b", + "type": "buttonEdge", + "zIndex": 1001 + }, + { + "id": "xy-edge__DuckDuckGo:SoftButtonsRefuseb-Generate:ItchyRiversDrumb", + "markerEnd": "logo", + "source": "DuckDuckGo:SoftButtonsRefuse", + "sourceHandle": "b", + "style": { + "stroke": "rgb(202 197 245)", + "strokeWidth": 2 + }, + "target": "Generate:ItchyRiversDrum", + "targetHandle": "b", + "type": "buttonEdge", + "zIndex": 1001 + } + ], + "nodes": [ + { + "data": { + "label": "Begin", + "name": "opening" + }, + "dragging": false, + "height": 44, + "id": "begin", + "measured": { + "height": 44, + "width": 100 + }, + "position": { + "x": -1469.1118402678153, + "y": -138.55389910599428 + }, + "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", + "measured": { + "height": 44, + "width": 200 + }, + "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", + "query": [ + { + "component_id": "KeywordExtract:BeigeTipsStand", + "type": "reference" + } + ], "top_n": 2 - } + }, + "label": "Wikipedia", + "name": "Wikipedia" }, - "downstream": [ - "Generate:GreatCarrotsDecide" - ], - "upstream": [ - "KeywordExtract:BeigeTipsStand" - ] + "dragging": false, + "height": 44, + "id": "Wikipedia:WittyRiceLearn", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": -406.9217458441634, + "y": -54.01023495053805 + }, + "positionAbsolute": { + "x": -406.9217458441634, + "y": -54.01023495053805 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 }, - "Baidu:OliveAreasCall": { - "obj": { - "component_name": "Baidu", - "params": { + { + "data": { + "form": { + "query": [ + { + "component_id": "KeywordExtract:BeigeTipsStand", + "type": "reference" + } + ], "top_n": 2 - } + }, + "label": "Baidu", + "name": "Baidu" }, - "downstream": [ - "Generate:GreatCarrotsDecide" - ], - "upstream": [ - "KeywordExtract:BeigeTipsStand" - ] + "dragging": false, + "height": 44, + "id": "Baidu:OliveAreasCall", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": -334.8102520664264, + "y": -142.4206828864257 + }, + "positionAbsolute": { + "x": -334.8102520664264, + "y": -142.4206828864257 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 }, - "DuckDuckGo:SoftButtonsRefuse": { - "obj": { - "component_name": "DuckDuckGo", - "params": { + { + "data": { + "form": { "channel": "text", + "query": [ + { + "component_id": "KeywordExtract:BeigeTipsStand", + "type": "reference" + } + ], "top_n": 2 - } + }, + "label": "DuckDuckGo", + "name": "DuckDuckGo" }, - "downstream": [ - "Generate:GreatCarrotsDecide" - ], - "upstream": [ - "KeywordExtract:BeigeTipsStand" - ] + "dragging": false, + "height": 44, + "id": "DuckDuckGo:SoftButtonsRefuse", + "measured": { + "height": 44, + "width": 200 + }, + "position": { + "x": -241.42135935727495, + "y": -227.69429585279033 + }, + "positionAbsolute": { + "x": -241.42135935727495, + "y": -227.69429585279033 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "ragNode", + "width": 200 }, - "RewriteQuestion:OrangeBottlesSwim": { - "obj": { - "component_name": "RewriteQuestion", - "params": { + { + "data": { + "form": { "frequencyPenaltyEnabled": true, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", "loop": 1, "maxTokensEnabled": true, "max_tokens": 256, + "message_history_window_size": 6, "parameter": "Precise", "presencePenaltyEnabled": true, "presence_penalty": 0.4, @@ -90,20 +614,34 @@ "temperatureEnabled": true, "topPEnabled": true, "top_p": 0.3 - } + }, + "label": "RewriteQuestion", + "name": "Refine Question" }, - "downstream": [ - "KeywordExtract:BeigeTipsStand", - "Retrieval:SilentCamelsStick" - ], - "upstream": [ - "Answer:PoorMapsCover" - ] + "dragging": false, + "height": 86, + "id": "RewriteQuestion:OrangeBottlesSwim", + "measured": { + "height": 86, + "width": 200 + }, + "position": { + "x": -926.3250837910092, + "y": -156.41315582042822 + }, + "positionAbsolute": { + "x": -926.3250837910092, + "y": -156.41315582042822 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "rewriteNode", + "width": 200 }, - "KeywordExtract:BeigeTipsStand": { - "obj": { - "component_name": "KeywordExtract", - "params": { + { + "data": { + "form": { "frequencyPenaltyEnabled": true, "frequency_penalty": 0.7, "llm_id": "deepseek-chat@DeepSeek", @@ -117,743 +655,343 @@ "topPEnabled": true, "top_n": 2, "top_p": 0.3 - } + }, + "label": "KeywordExtract", + "name": "Get keywords" }, - "downstream": [ - "Baidu:OliveAreasCall", - "DuckDuckGo:SoftButtonsRefuse", - "Wikipedia:WittyRiceLearn" - ], - "upstream": [ - "RewriteQuestion:OrangeBottlesSwim" - ] + "dragging": false, + "height": 86, + "id": "KeywordExtract:BeigeTipsStand", + "measured": { + "height": 86, + "width": 200 + }, + "position": { + "x": -643.95039088561, + "y": -160.37167955274685 + }, + "positionAbsolute": { + "x": -643.95039088561, + "y": -160.37167955274685 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "keywordNode", + "width": 200 }, - "Retrieval:SilentCamelsStick": { - "obj": { - "component_name": "Retrieval", - "params": { + { + "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" }, - "downstream": [ - "Generate:GreatCarrotsDecide" - ], - "upstream": [ - "RewriteQuestion:OrangeBottlesSwim" - ] - }, - "Generate:GreatCarrotsDecide": { - "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: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" - } - ], - "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, - "top_p": 0.3 - } - }, - "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, + "dragging": false, + "height": 46, + "id": "Retrieval:SilentCamelsStick", + "measured": { "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 + "position": { + "x": -641.3113750640641, + "y": -4.669746081545384 }, - { - "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" + "positionAbsolute": { + "x": -641.3113750640641, + "y": -4.669746081545384 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "retrievalNode", + "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." }, - "dragHandle": ".note-drag-handle", - "dragging": false, + "label": "Note", + "name": "N: LLM" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 144, + "id": "Note:CuteSchoolsWear", + "measured": { "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" + "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?" }, - "dragging": false, + "label": "Note", + "name": "N: Refine question" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 209, + "id": "Note:CuteRavensBehave", + "measured": { "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" + "width": 266 }, - { - "data": { - "form": { - "text": "Based on the user's question, searches the knowledge base and returns the retrieved content." - }, - "label": "Note", - "name": "N: Search KB" + "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 + }, + { + "data": { + "form": { + "text": "Based on the user's question, searches the knowledge base and returns the retrieved content." }, - "dragging": false, + "label": "Note", + "name": "N: Search KB" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:RudeRulesLeave", + "measured": { "height": 128, - "id": "Note:RudeRulesLeave", - "position": { - "x": -917.896611693436, - "y": -3.570404025438563 - }, - "positionAbsolute": { - "x": -917.896611693436, - "y": -3.570404025438563 - }, - "selected": false, - "sourcePosition": "right", - "targetPosition": "left", - "type": "noteNode", - "width": 269, - "dragHandle": ".note-drag-handle" + "width": 269 }, - { - "data": { - "form": { - "text": "Based on the keywords, searches on Wikipedia and returns the found content." - }, - "label": "Note", - "name": "N: Wikipedia" + "position": { + "x": -917.896611693436, + "y": -3.570404025438563 + }, + "positionAbsolute": { + "x": -917.896611693436, + "y": -3.570404025438563 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode", + "width": 269 + }, + { + "data": { + "form": { + "text": "Based on the keywords, searches on Wikipedia and returns the found content." }, - "dragging": false, + "label": "Note", + "name": "N: Wikipedia" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:DryActorsTry", + "measured": { "height": 128, - "id": "Note:DryActorsTry", - "position": { - "x": 49.68127281474659, - "y": -16.899164744846445 - }, - "positionAbsolute": { - "x": 49.68127281474659, - "y": -16.899164744846445 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 128, - "width": 281 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 281, - "dragHandle": ".note-drag-handle" + "width": 281 }, - { - "data": { - "form": { - "text": "Based on the keywords, searches on Baidu and returns the found content." - }, - "label": "Note", - "name": "N :Baidu" - }, - "dragging": false, + "position": { + "x": 49.68127281474659, + "y": -16.899164744846445 + }, + "positionAbsolute": { + "x": 49.68127281474659, + "y": -16.899164744846445 + }, + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { "height": 128, - "id": "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" + "width": 281 }, - { - "data": { - "form": { - "text": "Based on the keywords, searches on DuckDuckGo and returns the found content." - }, - "label": "Note", - "name": "N: DuckduckGo" + "targetPosition": "left", + "type": "noteNode", + "width": 281 + }, + { + "data": { + "form": { + "text": "Based on the keywords, searches on Baidu and returns the found content." }, - "dragging": false, + "label": "Note", + "name": "N :Baidu" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 128, + "id": "Note:HonestShirtsNail", + "measured": { + "height": 128, + "width": 269 + }, + "position": { + "x": 43.964372149616565, + "y": -151.26282396084338 + }, + "positionAbsolute": { + "x": 43.964372149616565, + "y": -151.26282396084338 + }, + "selected": false, + "sourcePosition": "right", + "targetPosition": "left", + "type": "noteNode", + "width": 269 + }, + { + "data": { + "form": { + "text": "Based on the keywords, searches on DuckDuckGo and returns the found content." + }, + "label": "Note", + "name": "N: DuckduckGo" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 145, + "id": "Note:OddBreadsFix", + "measured": { "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" + "width": 201 }, - { - "data": { - "form": { - "text": "The large model generates keywords based on the user's question for better retrieval." - }, - "label": "Note", - "name": "N: Get keywords" + "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 + }, + { + "data": { + "form": { + "text": "The large model generates keywords based on the user's question for better retrieval." }, - "dragging": false, + "label": "Note", + "name": "N: Get keywords" + }, + "dragHandle": ".note-drag-handle", + "dragging": false, + "height": 162, + "id": "Note:GentleWorldsDesign", + "measured": { "height": 162, - "id": "Note:GentleWorldsDesign", - "position": { - "x": -646.3211655055846, - "y": -334.10598887579624 - }, - "positionAbsolute": { - "x": -646.3211655055846, - "y": -334.10598887579624 - }, - "resizing": false, - "selected": false, - "sourcePosition": "right", - "style": { - "height": 162, - "width": 201 - }, - "targetPosition": "left", - "type": "noteNode", - "width": 201, - "dragHandle": ".note-drag-handle" - } - ], - "edges": [ - { - "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" + "width": 201 }, - { - "id": "reactflow__edge-Answer:PoorMapsCoverb-RewriteQuestion:OrangeBottlesSwimc", - "markerEnd": "logo", - "source": "Answer:PoorMapsCover", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "RewriteQuestion:OrangeBottlesSwim", - "targetHandle": "c", - "type": "buttonEdge" + "position": { + "x": -646.3211655055846, + "y": -334.10598887579624 }, - { - "id": "reactflow__edge-RewriteQuestion:OrangeBottlesSwimb-KeywordExtract:BeigeTipsStandc", - "markerEnd": "logo", - "source": "RewriteQuestion:OrangeBottlesSwim", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "KeywordExtract:BeigeTipsStand", - "targetHandle": "c", - "type": "buttonEdge" + "positionAbsolute": { + "x": -646.3211655055846, + "y": -334.10598887579624 }, - { - "id": "reactflow__edge-KeywordExtract:BeigeTipsStandb-Baidu:OliveAreasCallc", - "markerEnd": "logo", - "source": "KeywordExtract:BeigeTipsStand", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Baidu:OliveAreasCall", - "targetHandle": "c", - "type": "buttonEdge" + "resizing": false, + "selected": false, + "sourcePosition": "right", + "style": { + "height": 162, + "width": 201 }, - { - "id": "reactflow__edge-KeywordExtract:BeigeTipsStandb-DuckDuckGo:SoftButtonsRefusec", - "markerEnd": "logo", - "source": "KeywordExtract:BeigeTipsStand", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 + "targetPosition": "left", + "type": "noteNode", + "width": 201 + }, + { + "data": { + "form": { + "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": [], + "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{Retrieval:SilentCamelsStick}\n\n\n## Wikipedia content\n{Wikipedia:WittyRiceLearn}\n\n\n## Duckduckgo content\n{DuckDuckGo:SoftButtonsRefuse}\n\n\n## Baidu content\n{Baidu:OliveAreasCall}\n\n", + "temperature": 0.1, + "temperatureEnabled": true, + "topPEnabled": true, + "top_p": 0.3 }, - "target": "DuckDuckGo:SoftButtonsRefuse", - "targetHandle": "c", - "type": "buttonEdge" + "label": "Generate", + "name": "LLM" }, - { - "id": "reactflow__edge-KeywordExtract:BeigeTipsStandb-Wikipedia:WittyRiceLearnc", - "markerEnd": "logo", - "source": "KeywordExtract:BeigeTipsStand", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Wikipedia:WittyRiceLearn", - "targetHandle": "c", - "type": "buttonEdge" + "dragging": false, + "id": "Generate:ItchyRiversDrum", + "measured": { + "height": 108, + "width": 200 }, - { - "id": "reactflow__edge-RewriteQuestion:OrangeBottlesSwimb-Retrieval:SilentCamelsStickc", - "markerEnd": "logo", - "source": "RewriteQuestion:OrangeBottlesSwim", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Retrieval:SilentCamelsStick", - "targetHandle": "c", - "type": "buttonEdge" + "position": { + "x": -636.2454246475879, + "y": 282.00479262604443 }, - { - "id": "reactflow__edge-Wikipedia:WittyRiceLearnb-Generate:GreatCarrotsDecideb", - "markerEnd": "logo", - "source": "Wikipedia:WittyRiceLearn", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:GreatCarrotsDecide", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Baidu:OliveAreasCallb-Generate:GreatCarrotsDecideb", - "markerEnd": "logo", - "source": "Baidu:OliveAreasCall", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:GreatCarrotsDecide", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-DuckDuckGo:SoftButtonsRefuseb-Generate:GreatCarrotsDecideb", - "markerEnd": "logo", - "source": "DuckDuckGo:SoftButtonsRefuse", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:GreatCarrotsDecide", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Retrieval:SilentCamelsStickb-Generate:GreatCarrotsDecideb", - "markerEnd": "logo", - "source": "Retrieval:SilentCamelsStick", - "sourceHandle": "b", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Generate:GreatCarrotsDecide", - "targetHandle": "b", - "type": "buttonEdge" - }, - { - "id": "reactflow__edge-Generate:GreatCarrotsDecidec-Answer:PoorMapsCoverc", - "markerEnd": "logo", - "source": "Generate:GreatCarrotsDecide", - "sourceHandle": "c", - "style": { - "stroke": "rgb(202 197 245)", - "strokeWidth": 2 - }, - "target": "Answer:PoorMapsCover", - "targetHandle": "c", - "type": "buttonEdge" - } - ] - }, - "history": [], - "messages": [], - "path": [], - "reference": [] + "selected": true, + "sourcePosition": "right", + "targetPosition": "left", + "type": "generateNode" + } + ] }, + "history": [], + "messages": [], + "path": [], + "reference": [] + }, "avatar": 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" }