My Collection
My Collection
This page may contain outdated information. It will be updated as soon as possible.
My Collection is a space in Langflow where users can manage, organize, and access their flows and components. Flows and components are displayed as individual cards that provide relevant information.
Memories
+Memories
Chat memory components store and retrieve chat messages by session_id.
AstraDBChatMemory Component
This component creates an AstraDBChatMessageHistory instance, which allows for storing and retrieving chat messages using Astra DB, a cloud-native database service.
Tools
+Tools
Tool components are used to interact with external services, APIs, and tools. They can be used to search the web, query databases, and perform other tasks.
Bing Search API
This component allows you to call the Bing Search API.
diff --git a/Starter-Projects/starter-projects-complex-agent.html b/Starter-Projects/starter-projects-complex-agent.html index 6407db8b9b..017e788628 100644 --- a/Starter-Projects/starter-projects-complex-agent.html +++ b/Starter-Projects/starter-projects-complex-agent.html @@ -10,13 +10,13 @@ - - + + -Complex Agent
+Complex Agent
Build a Complex Agent flow for a chatbot application using CrewAI. This flow uses CrewAI to manage a Hierarchical Crew of Agents as they perform a sequence of Tasks.
This flow features a unique method of creating a CrewAI agent out of OpenAI prompt responses. The tool-calling agent's Role, Goal, and Backstory are defined by prompting OpenAI LLM with the user's query. The agent then builds a response by querying the Yahoo Finance News and Search API tools.
The Manager Agent oversees the tool-calling agent, using the OpenAI LLM as a brain to make decisions about how to manage its agents. It can answer general questions from the user, but can also call for help from the tool-calling agent if needed.
diff --git a/Starter-Projects/starter-projects-hierarchical-crew.html b/Starter-Projects/starter-projects-hierarchical-crew.html index f6056c6f4a..4f43875d44 100644 --- a/Starter-Projects/starter-projects-hierarchical-crew.html +++ b/Starter-Projects/starter-projects-hierarchical-crew.html @@ -10,13 +10,13 @@ - - + + -Hierarchical Tasks Agent
+Hierarchical Tasks Agent
Build a Hierarchical Tasks Agent flow for a multi-shot application using CrewAI. This flow uses CrewAI to manage a Hierarchical Crew of Agents as they perform disparate tasks under the control of a Manager Agent.
Unlike the agents in the Sequential Crew starter flow, the CrewAI agents in this flow don't just perform a task one after the other. One Agent is a Researcher that queries the Search API tool, another is an Editor that evaluates the retrieved information, and the Manager Agent oversees the Researcher and Editor Agents, using the OpenAI LLM as a brain to make decisions about how to manage the Researcher and Editor agents.
Prerequisites
diff --git a/Starter-Projects/starter-projects-sequential-crew.html b/Starter-Projects/starter-projects-sequential-crew.html index 5b2155b92d..56dd34d428 100644 --- a/Starter-Projects/starter-projects-sequential-crew.html +++ b/Starter-Projects/starter-projects-sequential-crew.html @@ -10,13 +10,13 @@ - - + + -Sequential Tasks Agent
+Sequential Tasks Agent
Build a Sequential Tasks Agent flow for a multi-shot application using CrewAI. This flow uses CrewAI to manage a Crew of Agents as they perform a sequence of Tasks.
Prerequisites
-
diff --git a/assets/files/AssemblyAI_Flow-79fdd9e10f4e8e0f1c087fc6124d0eb5.json b/assets/files/AssemblyAI_Flow-79fdd9e10f4e8e0f1c087fc6124d0eb5.json
new file mode 100644
index 0000000000..30f4010ff3
--- /dev/null
+++ b/assets/files/AssemblyAI_Flow-79fdd9e10f4e8e0f1c087fc6124d0eb5.json
@@ -0,0 +1 @@
+{"icon_bg_color":null,"updated_at":"2024-09-23T13:23:49+00:00","webhook":false,"id":"bb28b0b4-f5b7-4bf2-8661-fead4a32ed86","name":"AssemblyAI Transcription and Speech AI Flow","description":"Transcribe and analyze audio with AssemblyAI","icon":null,"is_component":false,"endpoint_name":null,"data":{"nodes":[{"id":"Prompt-GI1uB","type":"genericNode","position":{"x":-1437.0332295387766,"y":1086.3264409390222},"data":{"type":"Prompt","node":{"template":{"_type":"Component","code":{"type":"code","required":true,"placeholder":"","list":false,"show":true,"multiline":true,"value":"from langflow.base.prompts.api_utils import process_prompt_template\nfrom langflow.custom import Component\nfrom langflow.inputs.inputs import DefaultPromptField\nfrom langflow.io import Output, PromptInput\nfrom langflow.schema.message import Message\nfrom langflow.template.utils import update_template_values\n\n\nclass PromptComponent(Component):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n trace_type = \"prompt\"\n name = \"Prompt\"\n\n inputs = [\n PromptInput(name=\"template\", display_name=\"Template\"),\n ]\n\n outputs = [\n Output(display_name=\"Prompt Message\", name=\"prompt\", method=\"build_prompt\"),\n ]\n\n async def build_prompt(\n self,\n ) -> Message:\n prompt = await Message.from_template_and_variables(**self._attributes)\n self.status = prompt.text\n return prompt\n\n def _update_template(self, frontend_node: dict):\n prompt_template = frontend_node[\"template\"][\"template\"][\"value\"]\n custom_fields = frontend_node[\"custom_fields\"]\n frontend_node_template = frontend_node[\"template\"]\n _ = process_prompt_template(\n template=prompt_template,\n name=\"template\",\n custom_fields=custom_fields,\n frontend_node_template=frontend_node_template,\n )\n return frontend_node\n\n def post_code_processing(self, new_frontend_node: dict, current_frontend_node: dict):\n \"\"\"\n This function is called after the code validation is done.\n \"\"\"\n frontend_node = super().post_code_processing(new_frontend_node, current_frontend_node)\n template = frontend_node[\"template\"][\"template\"][\"value\"]\n # Kept it duplicated for backwards compatibility\n _ = process_prompt_template(\n template=template,\n name=\"template\",\n custom_fields=frontend_node[\"custom_fields\"],\n frontend_node_template=frontend_node[\"template\"],\n )\n # Now that template is updated, we need to grab any values that were set in the current_frontend_node\n # and update the frontend_node with those values\n update_template_values(new_template=frontend_node, previous_template=current_frontend_node[\"template\"])\n return frontend_node\n\n def _get_fallback_input(self, **kwargs):\n return DefaultPromptField(**kwargs)\n","fileTypes":[],"file_path":"","password":false,"name":"code","advanced":true,"dynamic":true,"info":"","load_from_db":false,"title_case":false},"template":{"trace_as_input":true,"list":false,"required":false,"placeholder":"","show":true,"name":"template","value":"Provide a brief summary of the transcript.","display_name":"Template","advanced":false,"dynamic":false,"info":"","title_case":false,"type":"prompt","_input_type":"PromptInput"}},"description":"Create a prompt template with dynamic variables.","icon":"prompts","is_input":null,"is_output":null,"is_composition":null,"base_classes":["Message"],"name":"","display_name":"Prompt","documentation":"","custom_fields":{"template":[]},"output_types":[],"full_path":null,"pinned":false,"conditional_paths":[],"frozen":false,"outputs":[{"types":["Message"],"selected":"Message","name":"prompt","hidden":null,"display_name":"Prompt Message","method":"build_prompt","value":"__UNDEFINED__","cache":true}],"field_order":["template"],"beta":false,"error":null,"edited":false},"id":"Prompt-GI1uB"},"selected":false,"width":384,"height":325,"positionAbsolute":{"x":-1437.0332295387766,"y":1086.3264409390222},"dragging":false},{"id":"AssemblyAITranscriptionJobCreator-os7m9","type":"genericNode","position":{"x":-1957.7132501771657,"y":470.79685053457587},"data":{"type":"AssemblyAITranscriptionJobCreator","node":{"template":{"_type":"Component","audio_file":{"trace_as_metadata":true,"file_path":"bb28b0b4-f5b7-4bf2-8661-fead4a32ed86/2024-09-23_12-10-03_5_common_sports_injuries.mp3","fileTypes":["3ga","8svx","aac","ac3","aif","aiff","alac","amr","ape","au","dss","flac","flv","m4a","m4b","m4p","m4r","mp3","mpga","ogg","oga","mogg","opus","qcp","tta","voc","wav","wma","wv","webm","mts","m2ts","ts","mov","mp2","mp4","m4p","m4v","mxf"],"list":false,"required":false,"placeholder":"","show":true,"name":"audio_file","value":"5_common_sports_injuries.mp3","display_name":"Audio File","advanced":false,"dynamic":false,"info":"The audio file to transcribe","title_case":false,"type":"file","_input_type":"FileInput"},"api_key":{"load_from_db":false,"required":false,"placeholder":"","show":true,"name":"api_key","value":null,"display_name":"Assembly API Key","advanced":false,"input_types":["Message"],"dynamic":false,"info":"Your AssemblyAI API key. You can get one from https://www.assemblyai.com/","title_case":false,"password":true,"type":"str","_input_type":"SecretStrInput"},"audio_file_url":{"trace_as_input":true,"trace_as_metadata":true,"load_from_db":false,"list":false,"required":false,"placeholder":"","show":true,"name":"audio_file_url","value":"","display_name":"Audio File URL","advanced":true,"input_types":["Message"],"dynamic":false,"info":"The URL of the audio file to transcribe (Can be used instead of a File)","title_case":false,"type":"str","_input_type":"MessageTextInput"},"code":{"type":"code","required":true,"placeholder":"","list":false,"show":true,"multiline":true,"value":"import os\nimport assemblyai as aai\nfrom langflow.custom import Component\nfrom langflow.io import FileInput, SecretStrInput, DropdownInput, Output, BoolInput, MessageTextInput\nfrom langflow.schema import Data\nfrom loguru import logger\n\n\nclass AssemblyAITranscriptionJobCreator(Component):\n display_name = \"AssemblyAI Start Transcript\"\n description = \"Create a transcription job for an audio file using AssemblyAI with advanced options\"\n documentation = \"https://www.assemblyai.com/docs\"\n icon = \"AssemblyAI\"\n\n inputs = [\n SecretStrInput(\n name=\"api_key\",\n display_name=\"Assembly API Key\",\n info=\"Your AssemblyAI API key. You can get one from https://www.assemblyai.com/\",\n ),\n FileInput(\n name=\"audio_file\",\n display_name=\"Audio File\",\n file_types=[\n \"3ga\",\n \"8svx\",\n \"aac\",\n \"ac3\",\n \"aif\",\n \"aiff\",\n \"alac\",\n \"amr\",\n \"ape\",\n \"au\",\n \"dss\",\n \"flac\",\n \"flv\",\n \"m4a\",\n \"m4b\",\n \"m4p\",\n \"m4r\",\n \"mp3\",\n \"mpga\",\n \"ogg\",\n \"oga\",\n \"mogg\",\n \"opus\",\n \"qcp\",\n \"tta\",\n \"voc\",\n \"wav\",\n \"wma\",\n \"wv\",\n \"webm\",\n \"mts\",\n \"m2ts\",\n \"ts\",\n \"mov\",\n \"mp2\",\n \"mp4\",\n \"m4p\",\n \"m4v\",\n \"mxf\",\n ],\n info=\"The audio file to transcribe\",\n ),\n MessageTextInput(\n name=\"audio_file_url\",\n display_name=\"Audio File URL\",\n info=\"The URL of the audio file to transcribe (Can be used instead of a File)\",\n advanced=True,\n ),\n DropdownInput(\n name=\"speech_model\",\n display_name=\"Speech Model\",\n options=[\n \"best\",\n \"nano\",\n ],\n value=\"best\",\n info=\"The speech model to use for the transcription\",\n ),\n BoolInput(\n name=\"language_detection\",\n display_name=\"Automatic Language Detection\",\n info=\"Enable automatic language detection\",\n ),\n MessageTextInput(\n name=\"language_code\",\n display_name=\"Language\",\n info=\"\"\"\n The language of the audio file. Can be set manually if automatic language detection is disabled. \n See https://www.assemblyai.com/docs/getting-started/supported-languages for a list of supported language codes.\n \"\"\",\n ),\n BoolInput(\n name=\"speaker_labels\",\n display_name=\"Enable Speaker Labels\",\n info=\"Enable speaker diarization\",\n ),\n MessageTextInput(\n name=\"speakers_expected\",\n display_name=\"Expected Number of Speakers\",\n info=\"Set the expected number of speakers (optional, enter a number)\",\n advanced=True,\n ),\n BoolInput(\n name=\"punctuate\",\n display_name=\"Punctuate\",\n info=\"Enable automatic punctuation\",\n advanced=True,\n value=True,\n ),\n BoolInput(\n name=\"format_text\",\n display_name=\"Format Text\",\n info=\"Enable text formatting\",\n advanced=True,\n value=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Transcript ID\", name=\"transcript_id\", method=\"create_transcription_job\"),\n ]\n\n def create_transcription_job(self) -> Data:\n aai.settings.api_key = self.api_key\n\n # Convert speakers_expected to int if it's not empty\n speakers_expected = None\n if self.speakers_expected and self.speakers_expected.strip():\n try:\n speakers_expected = int(self.speakers_expected)\n except ValueError:\n self.status = \"Error: Expected Number of Speakers must be a valid integer\"\n return Data(data={\"error\": \"Error: Expected Number of Speakers must be a valid integer\"})\n\n language_code = self.language_code if self.language_code else None\n\n config = aai.TranscriptionConfig(\n speech_model=self.speech_model,\n language_detection=self.language_detection,\n language_code=language_code,\n speaker_labels=self.speaker_labels,\n speakers_expected=speakers_expected,\n punctuate=self.punctuate,\n format_text=self.format_text,\n )\n\n audio = None\n if self.audio_file:\n if self.audio_file_url:\n logger.warning(\"Both an audio file an audio URL were specified. The audio URL was ignored.\")\n\n # Check if the file exists\n if not os.path.exists(self.audio_file):\n self.status = \"Error: Audio file not found\"\n return Data(data={\"error\": \"Error: Audio file not found\"})\n audio = self.audio_file\n elif self.audio_file_url:\n audio = self.audio_file_url\n else:\n self.status = \"Error: Either an audio file or an audio URL must be specified\"\n return Data(data={\"error\": \"Error: Either an audio file or an audio URL must be specified\"})\n\n try:\n transcript = aai.Transcriber().submit(audio, config=config)\n\n if transcript.error:\n self.status = transcript.error\n return Data(data={\"error\": transcript.error})\n else:\n result = Data(data={\"transcript_id\": transcript.id})\n self.status = result\n return result\n except Exception as e:\n self.status = f\"An error occurred: {str(e)}\"\n return Data(data={\"error\": f\"An error occurred: {str(e)}\"})\n","fileTypes":[],"file_path":"","password":false,"name":"code","advanced":true,"dynamic":true,"info":"","load_from_db":false,"title_case":false},"format_text":{"trace_as_metadata":true,"list":false,"required":false,"placeholder":"","show":true,"name":"format_text","value":true,"display_name":"Format Text","advanced":true,"dynamic":false,"info":"Enable text formatting","title_case":false,"type":"bool","_input_type":"BoolInput"},"language_code":{"trace_as_input":true,"trace_as_metadata":true,"load_from_db":false,"list":false,"required":false,"placeholder":"","show":true,"name":"language_code","value":"","display_name":"Language","advanced":false,"input_types":["Message"],"dynamic":false,"info":"\n The language of the audio file. Can be set manually if automatic language detection is disabled. \n See https://www.assemblyai.com/docs/getting-started/supported-languages for a list of supported language codes.\n ","title_case":false,"type":"str","_input_type":"MessageTextInput"},"language_detection":{"trace_as_metadata":true,"list":false,"required":false,"placeholder":"","show":true,"name":"language_detection","value":false,"display_name":"Automatic Language Detection","advanced":false,"dynamic":false,"info":"Enable automatic language detection","title_case":false,"type":"bool","_input_type":"BoolInput"},"punctuate":{"trace_as_metadata":true,"list":false,"required":false,"placeholder":"","show":true,"name":"punctuate","value":true,"display_name":"Punctuate","advanced":true,"dynamic":false,"info":"Enable automatic punctuation","title_case":false,"type":"bool","_input_type":"BoolInput"},"speaker_labels":{"trace_as_metadata":true,"list":false,"required":false,"placeholder":"","show":true,"name":"speaker_labels","value":true,"display_name":"Enable Speaker Labels","advanced":false,"dynamic":false,"info":"Enable speaker diarization","title_case":false,"type":"bool","_input_type":"BoolInput","load_from_db":false},"speakers_expected":{"trace_as_input":true,"trace_as_metadata":true,"load_from_db":false,"list":false,"required":false,"placeholder":"","show":true,"name":"speakers_expected","value":"","display_name":"Expected Number of Speakers","advanced":true,"input_types":["Message"],"dynamic":false,"info":"Set the expected number of speakers (optional, enter a number)","title_case":false,"type":"str","_input_type":"MessageTextInput"},"speech_model":{"trace_as_metadata":true,"options":["best","nano"],"combobox":false,"required":false,"placeholder":"","show":true,"name":"speech_model","value":"best","display_name":"Speech Model","advanced":false,"dynamic":false,"info":"The speech model to use for the transcription","title_case":false,"type":"str","_input_type":"DropdownInput"}},"description":"Create a transcription job for an audio file using AssemblyAI with advanced options","icon":"AssemblyAI","base_classes":["Data"],"display_name":"AssemblyAI Start Transcript","documentation":"https://www.assemblyai.com/docs","custom_fields":{},"output_types":[],"pinned":false,"conditional_paths":[],"frozen":false,"outputs":[{"types":["Data"],"selected":"Data","name":"transcript_id","display_name":"Transcript ID","method":"create_transcription_job","value":"__UNDEFINED__","cache":true}],"field_order":["api_key","audio_file","audio_file_url","speech_model","language_detection","language_code","speaker_labels","speakers_expected","punctuate","format_text"],"beta":false,"edited":false,"lf_version":"1.0.18"},"id":"AssemblyAITranscriptionJobCreator-os7m9","description":"Create a transcription job for an audio file using AssemblyAI with advanced options","display_name":"AssemblyAI Start Transcript"},"selected":true,"width":384,"height":727,"positionAbsolute":{"x":-1957.7132501771657,"y":470.79685053457587},"dragging":false},{"id":"AssemblyAITranscriptionJobPoller-h1oNr","type":"genericNode","position":{"x":-1418.1773423834097,"y":468.77643572273803},"data":{"type":"AssemblyAITranscriptionJobPoller","node":{"template":{"_type":"Component","transcript_id":{"trace_as_metadata":true,"list":false,"trace_as_input":true,"required":false,"placeholder":"","show":true,"name":"transcript_id","value":"","display_name":"Transcript ID","advanced":false,"input_types":["Data"],"dynamic":false,"info":"The ID of the transcription job to poll","title_case":false,"type":"other","_input_type":"DataInput"},"api_key":{"load_from_db":false,"required":false,"placeholder":"","show":true,"name":"api_key","value":null,"display_name":"Assembly API Key","advanced":false,"input_types":["Message"],"dynamic":false,"info":"Your AssemblyAI API key. You can get one from https://www.assemblyai.com/","title_case":false,"password":true,"type":"str","_input_type":"SecretStrInput"},"code":{"type":"code","required":true,"placeholder":"","list":false,"show":true,"multiline":true,"value":"import assemblyai as aai\nfrom langflow.custom import Component\nfrom langflow.io import FloatInput, SecretStrInput, DataInput, Output\nfrom langflow.schema import Data\n\n\nclass AssemblyAITranscriptionJobPoller(Component):\n display_name = \"AssemblyAI Poll Transcript\"\n description = \"Poll for the status of a transcription job using AssemblyAI\"\n documentation = \"https://www.assemblyai.com/docs\"\n icon = \"AssemblyAI\"\n\n inputs = [\n SecretStrInput(\n name=\"api_key\",\n display_name=\"Assembly API Key\",\n info=\"Your AssemblyAI API key. You can get one from https://www.assemblyai.com/\",\n ),\n DataInput(\n name=\"transcript_id\",\n display_name=\"Transcript ID\",\n info=\"The ID of the transcription job to poll\",\n ),\n FloatInput(\n name=\"polling_interval\",\n display_name=\"Polling Interval\",\n value=3.0,\n info=\"The polling interval in seconds\",\n ),\n ]\n\n outputs = [\n Output(display_name=\"Transcription Result\", name=\"transcription_result\", method=\"poll_transcription_job\"),\n ]\n\n def poll_transcription_job(self) -> Data:\n \"\"\"Polls the transcription status until completion and returns the Data.\"\"\"\n aai.settings.api_key = self.api_key\n aai.settings.polling_interval = self.polling_interval\n\n # check if it's an error message from the previous step\n if self.transcript_id.data.get(\"error\"):\n self.status = self.transcript_id.data[\"error\"]\n return self.transcript_id\n\n try:\n transcript = aai.Transcript.get_by_id(self.transcript_id.data[\"transcript_id\"])\n except Exception as e:\n error = f\"Getting transcription failed: {str(e)}\"\n self.status = error\n return Data(data={\"error\": error})\n\n if transcript.status == aai.TranscriptStatus.completed:\n data = Data(data=transcript.json_response)\n self.status = data\n return data\n else:\n self.status = transcript.error\n return Data(data={\"error\": transcript.error})\n","fileTypes":[],"file_path":"","password":false,"name":"code","advanced":true,"dynamic":true,"info":"","load_from_db":false,"title_case":false},"polling_interval":{"trace_as_metadata":true,"list":false,"required":false,"placeholder":"","show":true,"name":"polling_interval","value":3,"display_name":"Polling Interval","advanced":false,"dynamic":false,"info":"The polling interval in seconds","title_case":false,"type":"float","_input_type":"FloatInput"}},"description":"Poll for the status of a transcription job using AssemblyAI","icon":"AssemblyAI","base_classes":["Data"],"display_name":"AssemblyAI Poll Transcript","documentation":"https://www.assemblyai.com/docs","custom_fields":{},"output_types":[],"pinned":false,"conditional_paths":[],"frozen":false,"outputs":[{"types":["Data"],"selected":"Data","name":"transcription_result","display_name":"Transcription Result","method":"poll_transcription_job","value":"__UNDEFINED__","cache":true}],"field_order":["api_key","transcript_id","polling_interval"],"beta":false,"edited":false,"lf_version":"1.0.18"},"id":"AssemblyAITranscriptionJobPoller-h1oNr","description":"Poll for the status of a transcription job using AssemblyAI","display_name":"AssemblyAI Poll Transcript"},"selected":false,"width":384,"height":455,"positionAbsolute":{"x":-1418.1773423834097,"y":468.77643572273803},"dragging":false},{"id":"AssemblyAITranscriptionParser-fObVy","type":"genericNode","position":{"x":-828.5466542294,"y":80.36599595290471},"data":{"type":"AssemblyAITranscriptionParser","node":{"template":{"_type":"Component","transcription_result":{"trace_as_metadata":true,"list":false,"trace_as_input":true,"required":false,"placeholder":"","show":true,"name":"transcription_result","value":"","display_name":"Transcription Result","advanced":false,"input_types":["Data"],"dynamic":false,"info":"The transcription result from AssemblyAI","title_case":false,"type":"other","_input_type":"DataInput"},"code":{"type":"code","required":true,"placeholder":"","list":false,"show":true,"multiline":true,"value":"from langflow.custom import Component\nfrom langflow.io import DataInput, Output\nfrom langflow.schema import Data\nfrom typing import Dict, List\nimport datetime\n\n\nclass AssemblyAITranscriptionParser(Component):\n display_name = \"AssemblyAI Parse Transcript\"\n description = \"Parse AssemblyAI transcription result. If Speaker Labels was enabled, format utterances with speakers and timestamps\"\n documentation = \"https://www.assemblyai.com/docs\"\n icon = \"AssemblyAI\"\n\n inputs = [\n DataInput(\n name=\"transcription_result\",\n display_name=\"Transcription Result\",\n info=\"The transcription result from AssemblyAI\",\n ),\n ]\n\n outputs = [\n Output(display_name=\"Parsed Transcription\", name=\"parsed_transcription\", method=\"parse_transcription\"),\n ]\n\n def parse_transcription(self) -> Data:\n # check if it's an error message from the previous step\n if self.transcription_result.data.get(\"error\"):\n self.status = self.transcription_result.data[\"error\"]\n return self.transcription_result\n\n try:\n transcription_data = self.transcription_result.data\n\n if transcription_data.get(\"utterances\"):\n # If speaker diarization was enabled\n parsed_result = self.parse_with_speakers(transcription_data[\"utterances\"])\n elif transcription_data.get(\"text\"):\n # If speaker diarization was not enabled\n parsed_result = transcription_data[\"text\"]\n else:\n raise ValueError(\"Unexpected transcription format\")\n\n self.status = parsed_result\n return Data(data={\"text\": parsed_result})\n except Exception as e:\n error_message = f\"Error parsing transcription: {str(e)}\"\n self.status = error_message\n return Data(data={\"error\": error_message})\n\n def parse_with_speakers(self, utterances: List[Dict]) -> str:\n parsed_result = []\n for utterance in utterances:\n speaker = utterance[\"speaker\"]\n start_time = self.format_timestamp(utterance[\"start\"])\n text = utterance[\"text\"]\n parsed_result.append(f'Speaker {speaker} {start_time}\\n\"{text}\"\\n')\n\n return \"\\n\".join(parsed_result)\n\n def format_timestamp(self, milliseconds: int) -> str:\n return str(datetime.timedelta(milliseconds=milliseconds)).split(\".\")[0]\n","fileTypes":[],"file_path":"","password":false,"name":"code","advanced":true,"dynamic":true,"info":"","load_from_db":false,"title_case":false}},"description":"Parse AssemblyAI transcription result. If Speaker Labels was enabled, format utterances with speakers and timestamps","icon":"AssemblyAI","base_classes":["Data"],"display_name":"AssemblyAI Parse Transcript","documentation":"https://www.assemblyai.com/docs","custom_fields":{},"output_types":[],"pinned":false,"conditional_paths":[],"frozen":false,"outputs":[{"types":["Data"],"selected":"Data","name":"parsed_transcription","display_name":"Parsed Transcription","method":"parse_transcription","value":"__UNDEFINED__","cache":true}],"field_order":["transcription_result"],"beta":false,"edited":false,"lf_version":"1.0.18"},"id":"AssemblyAITranscriptionParser-fObVy","description":"Parse AssemblyAI transcription result. If Speaker Labels was enabled, format utterances with speakers and timestamps","display_name":"AssemblyAI Parse Transcript"},"selected":false,"width":384,"height":311,"positionAbsolute":{"x":-828.5466542294,"y":80.36599595290471},"dragging":false},{"id":"AssemblyAIGetSubtitles-jdwaz","type":"genericNode","position":{"x":-829.718388034151,"y":455.059121470362},"data":{"type":"AssemblyAIGetSubtitles","node":{"template":{"_type":"Component","transcription_result":{"trace_as_metadata":true,"list":false,"trace_as_input":true,"required":false,"placeholder":"","show":true,"name":"transcription_result","value":"","display_name":"Transcription Result","advanced":false,"input_types":["Data"],"dynamic":false,"info":"The transcription result from AssemblyAI","title_case":false,"type":"other","_input_type":"DataInput"},"api_key":{"load_from_db":false,"required":false,"placeholder":"","show":true,"name":"api_key","value":null,"display_name":"Assembly API Key","advanced":false,"input_types":["Message"],"dynamic":false,"info":"Your AssemblyAI API key. 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paginate over all pages\n params.limit = 100\n page = transcriber.list_transcripts(params)\n transcripts = convert_page_to_data_list(page)\n\n while page.page_details.before_id_of_prev_url is not None:\n params.before_id = page.page_details.before_id_of_prev_url\n page = transcriber.list_transcripts(params)\n transcripts.extend(convert_page_to_data_list(page))\n else:\n # just one page\n page = transcriber.list_transcripts(params)\n transcripts = convert_page_to_data_list(page)\n\n self.status = transcripts\n return transcripts\n except Exception as e:\n error_data = Data(data={\"error\": f\"An error occurred: {str(e)}\"})\n self.status = [error_data]\n return [error_data]\n","fileTypes":[],"file_path":"","password":false,"name":"code","advanced":true,"dynamic":true,"info":"","load_from_db":false,"title_case":false},"created_on":{"trace_as_input":true,"trace_as_metadata":true,"load_from_db":false,"list":false,"required":false,"placeholder":"","show":true,"name":"created_on","value":"","display_name":"Created On","advanced":false,"input_types":["Message"],"dynamic":false,"info":"Only get transcripts created on this date (YYYY-MM-DD)","title_case":false,"type":"str","_input_type":"MessageTextInput"},"limit":{"trace_as_metadata":true,"list":false,"required":false,"placeholder":"","show":true,"name":"limit","value":10,"display_name":"Limit","advanced":false,"dynamic":false,"info":"Maximum number of transcripts to retrieve (default: 20, use 0 for all)","title_case":false,"type":"int","_input_type":"IntInput","load_from_db":false},"status_filter":{"trace_as_metadata":true,"options":["all","queued","processing","completed","error"],"combobox":false,"required":false,"placeholder":"","show":true,"name":"status_filter","value":"all","display_name":"Status Filter","advanced":false,"dynamic":false,"info":"Filter by transcript status","title_case":false,"type":"str","_input_type":"DropdownInput"},"throttled_only":{"trace_as_metadata":true,"list":false,"required":false,"placeholder":"","show":true,"name":"throttled_only","value":false,"display_name":"Throttled Only","advanced":false,"dynamic":false,"info":"Only get throttled transcripts, overrides the status filter","title_case":false,"type":"bool","_input_type":"BoolInput"}},"description":"Retrieve a list of transcripts from AssemblyAI with filtering options","icon":"AssemblyAI","base_classes":["Data"],"display_name":"AssemblyAI List Transcripts","documentation":"https://www.assemblyai.com/docs","custom_fields":{},"output_types":[],"pinned":false,"conditional_paths":[],"frozen":false,"outputs":[{"types":["Data"],"selected":"Data","name":"transcript_list","display_name":"Transcript List","method":"list_transcripts","value":"__UNDEFINED__","cache":true}],"field_order":["api_key","limit","status_filter","created_on","throttled_only"],"beta":false,"edited":false,"lf_version":"1.0.18"},"id":"AssemblyAIListTranscripts-2atfG","description":"Retrieve a list of transcripts from AssemblyAI with filtering options","display_name":"AssemblyAI List Transcripts"},"selected":false,"width":384,"height":655,"positionAbsolute":{"x":-310.6154563333001,"y":441.8728251081342},"dragging":false},{"id":"AssemblyAILeMUR-cZbQ8","type":"genericNode","position":{"x":-829.7615964557997,"y":997.4743969634249},"data":{"type":"AssemblyAILeMUR","node":{"template":{"_type":"Component","transcription_result":{"trace_as_metadata":true,"list":false,"trace_as_input":true,"required":false,"placeholder":"","show":true,"name":"transcription_result","value":"","display_name":"Transcription Result","advanced":false,"input_types":["Data"],"dynamic":false,"info":"The transcription result from AssemblyAI","title_case":false,"type":"other","_input_type":"DataInput"},"api_key":{"load_from_db":false,"required":false,"placeholder":"","show":true,"name":"api_key","value":null,"display_name":"Assembly API Key","advanced":false,"input_types":["Message"],"dynamic":false,"info":"Your AssemblyAI API key. You can get one from https://www.assemblyai.com/","title_case":false,"password":true,"type":"str","_input_type":"SecretStrInput"},"code":{"type":"code","required":true,"placeholder":"","list":false,"show":true,"multiline":true,"value":"import assemblyai as aai\nfrom langflow.custom import Component\nfrom langflow.io import DropdownInput, FloatInput, IntInput, MessageInput, SecretStrInput, DataInput, Output\nfrom langflow.schema import Data\n\n\nclass AssemblyAILeMUR(Component):\n display_name = \"AssemblyAI LeMUR\"\n description = \"Apply Large Language Models to spoken data using the AssemblyAI LeMUR framework\"\n documentation = \"https://www.assemblyai.com/docs/lemur\"\n icon = \"AssemblyAI\"\n\n inputs = [\n SecretStrInput(\n name=\"api_key\",\n display_name=\"Assembly API Key\",\n info=\"Your AssemblyAI API key. You can get one from https://www.assemblyai.com/\",\n advanced=False,\n ),\n DataInput(\n name=\"transcription_result\",\n display_name=\"Transcription Result\",\n info=\"The transcription result from AssemblyAI\",\n ),\n MessageInput(\n name=\"prompt\",\n display_name=\"Input Prompt\",\n info=\"The text to prompt the model\",\n ),\n DropdownInput(\n name=\"final_model\",\n display_name=\"Final Model\",\n options=[\"claude3_5_sonnet\", \"claude3_opus\", \"claude3_haiku\", \"claude3_sonnet\"],\n value=\"claude3_5_sonnet\",\n info=\"The model that is used for the final prompt after compression is performed\",\n ),\n FloatInput(\n name=\"temperature\",\n display_name=\"Temperature\",\n advanced=True,\n value=0.0,\n info=\"The temperature to use for the model\",\n ),\n IntInput(\n name=\"max_output_size\",\n display_name=\" Max Output Size\",\n advanced=True,\n value=2000,\n info=\"Max output size in tokens, up to 4000\",\n ),\n ]\n\n outputs = [\n Output(display_name=\"LeMUR Response\", name=\"lemur_response\", method=\"run_lemur\"),\n ]\n\n def run_lemur(self) -> Data:\n \"\"\"Use the LeMUR task endpoint to input the LLM prompt.\"\"\"\n aai.settings.api_key = self.api_key\n\n # check if it's an error message from the previous step\n if self.transcription_result.data.get(\"error\"):\n self.status = self.transcription_result.data[\"error\"]\n return self.transcription_result\n\n if not self.prompt or not self.prompt.text:\n self.status = \"No prompt specified\"\n return Data(data={\"error\": \"No prompt specified\"})\n\n try:\n transcript = aai.Transcript.get_by_id(self.transcription_result.data[\"id\"])\n except Exception as e:\n error = f\"Getting transcription failed: {str(e)}\"\n self.status = error\n return Data(data={\"error\": error})\n\n if transcript.status == aai.TranscriptStatus.completed:\n try:\n result = transcript.lemur.task(\n prompt=self.prompt.text,\n final_model=self.get_final_model(self.final_model),\n temperature=self.temperature,\n max_output_size=self.max_output_size,\n )\n\n result = Data(data=result.dict())\n self.status = result\n return result\n except Exception as e:\n error = f\"An Exception happened while calling LeMUR: {str(e)}\"\n self.status = error\n return Data(data={\"error\": error})\n else:\n self.status = transcript.error\n return Data(data={\"error\": transcript.error})\n\n def get_final_model(self, model_name: str) -> aai.LemurModel:\n if model_name == \"claude3_5_sonnet\":\n return aai.LemurModel.claude3_5_sonnet\n elif model_name == \"claude3_opus\":\n return aai.LemurModel.claude3_opus\n elif model_name == \"claude3_haiku\":\n return aai.LemurModel.claude3_haiku\n elif model_name == \"claude3_sonnet\":\n return aai.LemurModel.claude3_sonnet\n else:\n raise ValueError(f\"Model name not supported: 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One moment please.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"[Agent uses the Notion User List tool]",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Here's a list of users in your Notion workspace:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"1. John Doe (john@example.com)",props:{}}]},{tokens:[{content:"2. Jane Smith (jane@example.com)",props:{}}]},{tokens:[{content:"3. Alex Johnson (alex@example.com)",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Is there anything specific you'd like to know about these users or any other Notion-related task I can help you with?",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:'User: Create a new page in my Projects database with the title "Website Redesign".',props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Agent: Certainly! I'd be happy to create a new page in your Projects database with the title \"Website Redesign\". I'll use the Notion Page Creator tool to do this. First, let me check the properties of your Projects database to ensure we include all necessary information.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"[Agent uses the Notion Database Properties tool]",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"I've retrieved the properties for your Projects database. Now, I'll create the new page with the title \"Website Redesign\". One moment please.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"[Agent uses the Notion Page Creator tool]",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:'Great news! I\'ve successfully created a new page in your Projects database with the title "Website Redesign". Here are the details:',props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"- Title: Website Redesign",props:{}}]},{tokens:[{content:"- Page ID: [page_id_here]",props:{}}]},{tokens:[{content:"- URL: [page_url_here]",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Is there any additional information you'd like me to add to this new project page, such as a description, due date, or assigned team members?",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:'User: Yes, please add a description: "Redesign company website to improve user experience and modernize the look."',props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Agent: Certainly! I'd be happy to add that description to the \"Website Redesign\" project page. I'll use the Add Content to Page tool to update the page with this information.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"[Agent uses the Add Content to Page tool]",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"I've successfully added the description to your \"Website Redesign\" project page. Here's a summary of what I've done:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:'1. Located the "Website Redesign" page using the page ID from our previous interaction.',props:{}}]},{tokens:[{content:"2. Added the following content to the page:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:" Description: Redesign company website to improve user experience and modernize the look.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"The description has been added as a new text block on the page. Is there anything else you'd like me to add or modify on this project page?",props:{}}]},{tokens:[{content:"",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,o.jsx)(n.h2,{id:"customization",children:"Customization"}),"\n",(0,o.jsx)(n.hr,{}),"\n",(0,o.jsx)(n.p,{children:"The flow can be customized to meet your team's specific needs."}),"\n",(0,o.jsx)(n.p,{children:"Customize this flow by:"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsx)(n.li,{children:"Adjusting the system prompt to change the agent's behavior or knowledge base."}),"\n",(0,o.jsx)(n.li,{children:"Adding or removing Notion tools based on your specific needs."}),"\n",(0,o.jsx)(n.li,{children:"Modifying the OpenAI model parameters (e.g., temperature) to adjust the agent's response style."}),"\n"]}),"\n",(0,o.jsx)(n.h2,{id:"troubleshooting",children:"Troubleshooting"}),"\n",(0,o.jsx)(n.hr,{}),"\n",(0,o.jsx)(n.p,{children:"If you encounter issues:"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsx)(n.li,{children:"Ensure all API keys are correctly set and have the necessary permissions."}),"\n",(0,o.jsx)(n.li,{children:"Check that your Notion integration has access to the relevant pages and databases."}),"\n",(0,o.jsx)(n.li,{children:"Verify that all components are properly connected in the flow."}),"\n",(0,o.jsx)(n.li,{children:"Review the Langflow logs for any error messages."}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["For more advanced usage and integration options, refer to the ",(0,o.jsx)(n.a,{href:"https://developers.notion.com/",children:"Notion API documentation"})," and ",(0,o.jsx)(n.a,{href:"/",children:"Langflow documentation"}),"."]})]})}function u(e={}){const{wrapper:n}={...(0,s.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(g,{...e})}):g(e)}function m(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},4821:(e,n,t)=>{t.d(n,{A:()=>o});const o=t.p+"assets/files/Conversational_Notion_Agent-2edcce5da4095a29ef9fa9faa62f8ee0.json"},4530:(e,n,t)=>{t.d(n,{A:()=>o});const o=t.p+"assets/images/notion_conversational_agent_tools-6952705eb98e10bd4a67b74500a6189d.png"}}]);
\ No newline at end of file
diff --git a/assets/js/6a2beaac.d384ce20.js b/assets/js/6a2beaac.d384ce20.js
deleted file mode 100644
index 79f425722a..0000000000
--- a/assets/js/6a2beaac.d384ce20.js
+++ /dev/null
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This flow performs Notion-related tasks like creating pages, searching for information, and managing content, all through a chat interface.",source:"@site/docs/Integrations/Notion/notion-agent-conversational.md",sourceDirName:"Integrations/Notion",slug:"/integrations/notion/notion-agent-conversational",permalink:"/integrations/notion/notion-agent-conversational",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:2,frontMatter:{title:"Notion Conversational Agent",sidebar_position:2,slug:"/integrations/notion/notion-agent-conversational"},sidebar:"defaultSidebar",previous:{title:"Notion Meeting Notes Agent",permalink:"/integrations/notion/notion-agent-meeting-notes"},next:{title:"Telemetry",permalink:"/contributing-telemetry"}},c={},d={annotations:i.hk,Code:i.Cy},h={staticMediaQuery:"not screen, (max-width: 768px)",lineNumbers:!0,showCopyButton:!0,themeName:"github-dark"},p=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Flow Components",id:"flow-components",level:2},{value:"Input and Output",id:"input-and-output",level:3},{value:"Language Model",id:"language-model",level:3},{value:"Agent and Tools",id:"agent-and-tools",level:3},{value:"Memory and Prompt",id:"memory-and-prompt",level:3},{value:"Run the Conversational Notion Agent",id:"run-the-conversational-notion-agent",level:2},{value:"Example Interactions",id:"example-interactions",level:2},{value:"Customization",id:"customization",level:2},{value:"Troubleshooting",id:"troubleshooting",level:2}];function g(e){const n={a:"a",h2:"h2",h3:"h3",hr:"hr",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,s.R)(),...e.components};return d||m("CH",!1),d.Code||m("CH.Code",!0),(0,o.jsxs)(o.Fragment,{children:[(0,o.jsx)("style",{dangerouslySetInnerHTML:{__html:'[data-ch-theme="github-dark"] { --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }'}}),"\n",(0,o.jsx)(n.p,{children:"The Notion Conversational Agent is an AI-powered assistant that interacts with your Notion workspace through natural language conversations. 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For example:","\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:'"Create a new page in my task database"'}),"\n",(0,o.jsx)(n.li,{children:'"Search for pages about project management"'}),"\n",(0,o.jsx)(n.li,{children:'"List all users in my Notion workspace"'}),"\n"]}),"\n"]}),"\n",(0,o.jsx)(n.li,{children:"The agent will process your request, use the appropriate Notion tools, and provide a response."}),"\n",(0,o.jsx)(n.li,{children:"Continue the conversation, asking follow-up questions or giving new commands as needed."}),"\n"]}),"\n",(0,o.jsx)(n.h2,{id:"example-interactions",children:"Example Interactions"}),"\n",(0,o.jsx)(n.hr,{}),"\n",(0,o.jsx)(d.Code,{codeConfig:h,northPanel:{tabs:[""],active:"",heightRatio:1},files:[{name:"",focus:"",code:{lines:[{tokens:[{content:"User: List all the users in my Notion workspace.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Agent: Certainly! I'll use the Notion User List tool to retrieve that information for you. One moment please.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"[Agent uses the Notion User List tool]",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Here's a list of users in your Notion workspace:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"1. John Doe (john@example.com)",props:{}}]},{tokens:[{content:"2. Jane Smith (jane@example.com)",props:{}}]},{tokens:[{content:"3. Alex Johnson (alex@example.com)",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Is there anything specific you'd like to know about these users or any other Notion-related task I can help you with?",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:'User: Create a new page in my Projects database with the title "Website Redesign".',props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Agent: Certainly! I'd be happy to create a new page in your Projects database with the title \"Website Redesign\". I'll use the Notion Page Creator tool to do this. First, let me check the properties of your Projects database to ensure we include all necessary information.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"[Agent uses the Notion Database Properties tool]",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"I've retrieved the properties for your Projects database. Now, I'll create the new page with the title \"Website Redesign\". One moment please.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"[Agent uses the Notion Page Creator tool]",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:'Great news! I\'ve successfully created a new page in your Projects database with the title "Website Redesign". Here are the details:',props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"- Title: Website Redesign",props:{}}]},{tokens:[{content:"- Page ID: [page_id_here]",props:{}}]},{tokens:[{content:"- URL: [page_url_here]",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Is there any additional information you'd like me to add to this new project page, such as a description, due date, or assigned team members?",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:'User: Yes, please add a description: "Redesign company website to improve user experience and modernize the look."',props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"Agent: Certainly! I'd be happy to add that description to the \"Website Redesign\" project page. I'll use the Add Content to Page tool to update the page with this information.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"[Agent uses the Add Content to Page tool]",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"I've successfully added the description to your \"Website Redesign\" project page. Here's a summary of what I've done:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:'1. Located the "Website Redesign" page using the page ID from our previous interaction.',props:{}}]},{tokens:[{content:"2. Added the following content to the page:",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:" Description: Redesign company website to improve user experience and modernize the look.",props:{}}]},{tokens:[{content:"",props:{}}]},{tokens:[{content:"The description has been added as a new text block on the page. Is there anything else you'd like me to add or modify on this project page?",props:{}}]},{tokens:[{content:"",props:{}}]}],lang:"text"},annotations:[]}]}),"\n",(0,o.jsx)(n.h2,{id:"customization",children:"Customization"}),"\n",(0,o.jsx)(n.hr,{}),"\n",(0,o.jsx)(n.p,{children:"The flow can be customized to meet your team's specific needs."}),"\n",(0,o.jsx)(n.p,{children:"Customize this flow by:"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsx)(n.li,{children:"Adjusting the system prompt to change the agent's behavior or knowledge base."}),"\n",(0,o.jsx)(n.li,{children:"Adding or removing Notion tools based on your specific needs."}),"\n",(0,o.jsx)(n.li,{children:"Modifying the OpenAI model parameters (e.g., temperature) to adjust the agent's response style."}),"\n"]}),"\n",(0,o.jsx)(n.h2,{id:"troubleshooting",children:"Troubleshooting"}),"\n",(0,o.jsx)(n.hr,{}),"\n",(0,o.jsx)(n.p,{children:"If you encounter issues:"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsx)(n.li,{children:"Ensure all API keys are correctly set and have the necessary permissions."}),"\n",(0,o.jsx)(n.li,{children:"Check that your Notion integration has access to the relevant pages and databases."}),"\n",(0,o.jsx)(n.li,{children:"Verify that all components are properly connected in the flow."}),"\n",(0,o.jsx)(n.li,{children:"Review the Langflow logs for any error messages."}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["For more advanced usage and integration options, refer to the ",(0,o.jsx)(n.a,{href:"https://developers.notion.com/",children:"Notion API documentation"})," and ",(0,o.jsx)(n.a,{href:"/",children:"Langflow documentation"}),"."]})]})}function u(e={}){const{wrapper:n}={...(0,s.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(g,{...e})}):g(e)}function m(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}},4821:(e,n,t)=>{t.d(n,{A:()=>o});const o=t.p+"assets/files/Conversational_Notion_Agent-2edcce5da4095a29ef9fa9faa62f8ee0.json"},4530:(e,n,t)=>{t.d(n,{A:()=>o});const o=t.p+"assets/images/notion_conversational_agent_tools-6952705eb98e10bd4a67b74500a6189d.png"}}]);
\ No newline at end of file
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+"use strict";(self.webpackChunklangflow_docs=self.webpackChunklangflow_docs||[]).push([[3964],{4745:(e,n,s)=>{s.r(n),s.d(n,{assets:()=>a,contentTitle:()=>r,default:()=>d,frontMatter:()=>l,metadata:()=>o,toc:()=>c});var t=s(4848),i=s(8453);const l={title:"AssemblyAI",sidebar_position:3,slug:"/integrations-assemblyai"},r="AssemblyAI",o={id:"Integrations/integrations-assemblyai",title:"AssemblyAI",description:"The AssemblyAI components allow you to apply powerful Speech AI models to your app for tasks like:",source:"@site/docs/Integrations/integrations-assemblyai.md",sourceDirName:"Integrations",slug:"/integrations-assemblyai",permalink:"/integrations-assemblyai",draft:!1,unlisted:!1,tags:[],version:"current",sidebarPosition:3,frontMatter:{title:"AssemblyAI",sidebar_position:3,slug:"/integrations-assemblyai"},sidebar:"defaultSidebar",previous:{title:"Notion Conversational Agent",permalink:"/integrations/notion/notion-agent-conversational"},next:{title:"Telemetry",permalink:"/contributing-telemetry"}},a={},c=[{value:"Prerequisites",id:"prerequisites",level:2},{value:"Components",id:"components",level:2},{value:"AssemblyAI Start Transcript",id:"assemblyai-start-transcript",level:3},{value:"AssebmlyAI Poll Transcript",id:"assebmlyai-poll-transcript",level:3},{value:"AssebmlyAI Parse Transcript",id:"assebmlyai-parse-transcript",level:3},{value:"AssebmlyAI Get Subtitles",id:"assebmlyai-get-subtitles",level:3},{value:"AssebmlyAI LeMUR",id:"assebmlyai-lemur",level:3},{value:"AssemblyAI List Transcripts",id:"assemblyai-list-transcripts",level:3},{value:"Flow Process",id:"flow-process",level:2},{value:"Run the Transcription and Speech AI Flow",id:"run-the-transcription-and-speech-ai-flow",level:2},{value:"Customization",id:"customization",level:2},{value:"Troubleshooting",id:"troubleshooting",level:2}];function h(e){const n={a:"a",em:"em",h1:"h1",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,i.R)(),...e.components};return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsx)(n.h1,{id:"assemblyai",children:"AssemblyAI"}),"\n",(0,t.jsx)(n.p,{children:"The AssemblyAI components allow you to apply powerful Speech AI models to your app for tasks like:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Transcribing audio and video files"}),"\n",(0,t.jsx)(n.li,{children:"Formatting transcripts"}),"\n",(0,t.jsx)(n.li,{children:"Generating subtitles"}),"\n",(0,t.jsx)(n.li,{children:"Applying LLMs to audio files"}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"More info about AssemblyAI:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/",children:"Website"})}),"\n",(0,t.jsx)(n.li,{children:(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/docs",children:"AssemblyAI API Docs"})}),"\n",(0,t.jsx)(n.li,{children:(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/dashboard/signup",children:"Get a Free API key"})}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,t.jsxs)(n.p,{children:["You need an ",(0,t.jsx)(n.strong,{children:"AssemblyAI API key"}),". After creating a free account, you'll find the API key in your dashboard. ",(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/dashboard/signup",children:"Get a Free API key here"}),"."]}),"\n",(0,t.jsxs)(n.p,{children:["Enter the key in the ",(0,t.jsx)(n.em,{children:"AssemblyAI API Key"})," field in all components that require the key."]}),"\n",(0,t.jsx)(n.p,{children:"(Optional): To use LeMUR, you need to upgrade your AssemblyAI account, since this is not included in the free account."}),"\n",(0,t.jsx)(n.h2,{id:"components",children:"Components"}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.img,{alt:"AssemblyAI Components",src:s(7835).A+"",width:"2143",height:"1532"})}),"\n",(0,t.jsx)(n.h3,{id:"assemblyai-start-transcript",children:"AssemblyAI Start Transcript"}),"\n",(0,t.jsx)(n.p,{children:"This component allows you to submit an audio or video file for transcription."}),"\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Tip"}),": You can freeze the path of this component to only submit the file once."]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Input"}),":"]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"AssemblyAI API Key: Your API key."}),"\n",(0,t.jsx)(n.li,{children:"Audio File: The audio or video file to transcribe."}),"\n",(0,t.jsxs)(n.li,{children:["Speech Model (Optional): Select the class of models. Default is ",(0,t.jsx)(n.em,{children:"Best"}),". See ",(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/docs/speech-to-text/speech-recognition#select-the-speech-model-with-best-and-nano",children:"speech models"})," for more info."]}),"\n",(0,t.jsx)(n.li,{children:"Automatic Language Detection (Optional): Enable automatic language detection."}),"\n",(0,t.jsxs)(n.li,{children:["Language (Optional): The language of the audio file. Can be set manually if automatic language detection is disabled.\nSee ",(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/docs/getting-started/supported-languages",children:"supported languages"})," for a list of supported language codes."]}),"\n",(0,t.jsx)(n.li,{children:"Enable Speaker Labels (Optional): Detect speakers in an audio file and what each speaker said."}),"\n",(0,t.jsx)(n.li,{children:"Expected Number of Speakers (Optional): Set the expected number of speakers, if Speaker Labels is enabled."}),"\n",(0,t.jsxs)(n.li,{children:["Audio File URL (Optional): The URL of the audio or video file to transcribe. Can be used instead of ",(0,t.jsx)(n.em,{children:"Audio File"}),"."]}),"\n",(0,t.jsx)(n.li,{children:"Punctuate (Optional): Apply punctuation. Default is true."}),"\n",(0,t.jsx)(n.li,{children:"Format Text (Optional): Apply casing and text formatting. 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If Speaker Labels was enabled in the ",(0,t.jsx)(n.em,{children:"Start Transcript"})," component, it formats utterances with speakers and timestamps."]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"assebmlyai-lemur",children:"AssebmlyAI LeMUR"}),"\n",(0,t.jsxs)(n.p,{children:["This component allows you to apply Large Language Models to spoken data using the ",(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/docs/lemur",children:"AssemblyAI LeMUR framework"}),"."]}),"\n",(0,t.jsx)(n.p,{children:"LeMUR automatically ingests the transcript as additional context, making it easy to apply LLMs to audio data. 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Note that you need an upgraded AssemblyAI account to use LeMUR."]}),"\n",(0,t.jsxs)(n.li,{children:["To list all transcripts, click ",(0,t.jsx)(n.strong,{children:"Play"})," on the ",(0,t.jsx)(n.em,{children:"List Transcript"})," component."]}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"customization",children:"Customization"}),"\n",(0,t.jsx)(n.p,{children:"The flow can be customized by:"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsxs)(n.li,{children:["Modifying the parameters in the ",(0,t.jsx)(n.em,{children:"Start Transcript"})," component."]}),"\n",(0,t.jsxs)(n.li,{children:["Modifying the subtitle format in the ",(0,t.jsx)(n.em,{children:"Get Subtitles"})," component."]}),"\n",(0,t.jsxs)(n.li,{children:["Modifying the LLM prompt for input of the ",(0,t.jsx)(n.em,{children:"LeMUR"})," component."]}),"\n",(0,t.jsxs)(n.li,{children:["Modifying the LLM parameters (e.g., temperature) in the ",(0,t.jsx)(n.em,{children:"LeMUR"})," component."]}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"troubleshooting",children:"Troubleshooting"}),"\n",(0,t.jsx)(n.p,{children:"If you encounter issues:"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsx)(n.li,{children:"Ensure the API key is correctly set in all components that require the key."}),"\n",(0,t.jsx)(n.li,{children:"To use LeMUR, you need to upgrade your AssemblyAI account, since this is not included in the free account."}),"\n",(0,t.jsx)(n.li,{children:"Verify that all components are properly connected in the flow."}),"\n",(0,t.jsx)(n.li,{children:"Review the Langflow logs for any error messages."}),"\n"]}),"\n",(0,t.jsxs)(n.p,{children:["For more advanced usage, refer to the ",(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/docs/",children:"AssemblyAI API documentation"}),". If you need more help, you can reach out to the ",(0,t.jsx)(n.a,{href:"https://www.assemblyai.com/contact/support",children:"AssemblyAI support"}),"."]})]})}function d(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(h,{...e})}):h(e)}},8618:(e,n,s)=>{s.d(n,{A:()=>t});const t=s.p+"assets/files/AssemblyAI_Flow-79fdd9e10f4e8e0f1c087fc6124d0eb5.json"},7835:(e,n,s)=>{s.d(n,{A:()=>t});const t=s.p+"assets/images/assemblyai-components-ab9684425dba3168de28dc1a1f770d1c.png"},8453:(e,n,s)=>{s.d(n,{R:()=>r,x:()=>o});var t=s(6540);const i={},l=t.createContext(i);function r(e){const n=t.useContext(l);return t.useMemo((function(){return"function"==typeof e?e(n):{...n,...e}}),[n,e])}function o(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(i):e.components||i:r(e.components),t.createElement(l.Provider,{value:n},e.children)}}}]);
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diff --git a/assets/js/a3ab51d1.092bb06b.js b/assets/js/a3ab51d1.092bb06b.js
deleted file mode 100644
index e153b0e9f4..0000000000
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diff --git a/assets/js/a3ab51d1.1448a30b.js b/assets/js/a3ab51d1.1448a30b.js
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