update projects
This commit is contained in:
ogabrielluiz
parent
cda65c07de
commit
c8ebcd1b03
7 changed files with 524 additions and 355 deletions
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@ -7,7 +7,7 @@
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"sourceHandle": {
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"dataType": "OpenAIModel",
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"id": "OpenAIModel-k39HS",
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"name": "Text",
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"name": "text",
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"output_types": [
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"Text"
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]
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@ -23,7 +23,7 @@
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},
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"id": "reactflow__edge-OpenAIModel-k39HS{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-k39HSœ}-ChatOutput-njtka{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-njtkaœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
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"source": "OpenAIModel-k39HS",
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"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-k39HSœ, œoutput_typesœ: [œTextœ], œnameœ: œTextœ}",
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"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-k39HSœ, œoutput_typesœ: [œTextœ], œnameœ: œtextœ}",
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"style": {
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"stroke": "#555"
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},
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@ -36,7 +36,7 @@
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"sourceHandle": {
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"dataType": "Prompt",
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"id": "Prompt-uxBqP",
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"name": "Text",
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"name": "prompt",
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"output_types": [
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"Prompt"
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]
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@ -54,7 +54,7 @@
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},
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"id": "reactflow__edge-Prompt-uxBqP{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-uxBqPœ}-OpenAIModel-k39HS{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-k39HSœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
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"source": "Prompt-uxBqP",
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"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-uxBqPœ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
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"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-uxBqPœ, œoutput_typesœ: [œPromptœ], œnameœ: œpromptœ}",
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"style": {
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"stroke": "#555"
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},
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@ -68,14 +68,16 @@
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"dataType": "ChatInput",
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"id": "ChatInput-P3fgL",
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"name": "message",
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"output_types": []
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"output_types": [
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"Message"
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]
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},
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"targetHandle": {
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"fieldName": "user_input",
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"id": "Prompt-uxBqP",
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"inputTypes": [
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"Document",
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"BaseOutputParser",
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"Message",
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"Record",
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"Text"
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],
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@ -84,12 +86,12 @@
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},
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"id": "reactflow__edge-ChatInput-P3fgL{œbaseClassesœ:[œobjectœ,œRecordœ,œstrœ,œTextœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-P3fgLœ}-Prompt-uxBqP{œfieldNameœ:œuser_inputœ,œidœ:œPrompt-uxBqPœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
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"source": "ChatInput-P3fgL",
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"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-P3fgLœ, œoutput_typesœ: [], œnameœ: œmessageœ}",
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"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-P3fgLœ, œoutput_typesœ: [œMessageœ], œnameœ: œmessageœ}",
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"style": {
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"stroke": "#555"
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},
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"target": "Prompt-uxBqP",
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"targetHandle": "{œfieldNameœ: œuser_inputœ, œidœ: œPrompt-uxBqPœ, œinputTypesœ: [œDocumentœ, œBaseOutputParserœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
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"targetHandle": "{œfieldNameœ: œuser_inputœ, œidœ: œPrompt-uxBqPœ, œinputTypesœ: [œDocumentœ, œMessageœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
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}
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],
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"nodes": [
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@ -123,22 +125,33 @@
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"is_input": null,
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"is_output": null,
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"name": "",
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"output_types": [
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"Prompt"
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],
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"output_types": [],
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"outputs": [
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{
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"display_name": null,
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"method": null,
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"name": "Prompt",
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"selected": null,
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"cache": true,
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"display_name": "Prompt",
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"method": "build_prompt",
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"name": "prompt",
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"selected": "Prompt",
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"types": [
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"Prompt"
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]
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],
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"value": "__UNDEFINED__"
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},
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{
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"cache": true,
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"display_name": "Text",
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"method": "format_prompt",
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"name": "text",
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"selected": "Text",
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"types": [
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"Text"
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],
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"value": "__UNDEFINED__"
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}
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],
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"template": {
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"_type": "CustomComponent",
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"_type": "Component",
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"code": {
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"advanced": true,
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"dynamic": true,
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@ -155,7 +168,7 @@
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"show": true,
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"title_case": false,
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"type": "code",
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"value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import Input\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n \"code\": Input(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Prompt:\n prompt = await Prompt.from_template_and_variables(template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
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"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(Component):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", type=Prompt, display_name=\"Template\"),\n ]\n\n outputs = [\n Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n ]\n\n async def format_prompt(self) -> str:\n prompt = await self.build_prompt()\n formatted_text = prompt.format_text()\n self.status = formatted_text\n return formatted_text\n\n async def build_prompt(\n self,\n ) -> Prompt:\n kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
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},
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"template": {
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"advanced": false,
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@ -189,7 +202,7 @@
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"info": "",
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"input_types": [
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"Document",
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"BaseOutputParser",
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"Message",
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"Record",
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"Text"
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],
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@ -269,13 +282,15 @@
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],
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"outputs": [
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{
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"display_name": null,
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"cache": true,
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"display_name": "Text",
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"method": null,
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"name": "Text",
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"selected": null,
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"name": "text",
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"selected": "Text",
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"types": [
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"Text"
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]
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],
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"value": "__UNDEFINED__"
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}
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],
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"template": {
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@ -544,22 +559,26 @@
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"output_types": [],
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"outputs": [
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{
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"display_name": "Message",
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"cache": true,
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"display_name": "Text",
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"method": "text_response",
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"name": "message",
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"name": "text",
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"selected": "Text",
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"types": [
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"Text"
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]
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],
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"value": "__UNDEFINED__"
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},
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{
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"display_name": "Record",
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"method": "record_response",
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"name": "record",
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"selected": "Record",
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"cache": true,
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"display_name": "Message",
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"method": "message_response",
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"name": "message",
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"selected": "Message",
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"types": [
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"Record"
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]
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"Message"
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],
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"value": "__UNDEFINED__"
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}
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],
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"template": {
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@ -580,11 +599,11 @@
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"show": true,
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"title_case": false,
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"type": "code",
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"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Message\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"message\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n \"template\": self.record_template or \"\",\n }\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
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"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Text\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
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},
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"input_value": {
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"advanced": false,
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"display_name": "Message",
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"display_name": "Text",
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"dynamic": false,
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"fileTypes": [],
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"file_path": "",
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@ -743,22 +762,26 @@
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"output_types": [],
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"outputs": [
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{
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"display_name": "Message",
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"cache": true,
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"display_name": "Text",
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"method": "text_response",
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"name": "message",
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"name": "text",
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"selected": "Text",
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"types": [
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"Text"
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]
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],
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"value": "__UNDEFINED__"
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},
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{
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"display_name": "Record",
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"method": "record_response",
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"name": "record",
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"selected": "Record",
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"cache": true,
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"display_name": "Message",
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"method": "message_response",
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"name": "message",
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"selected": "Message",
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"types": [
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"Record"
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]
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"Message"
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],
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"value": "__UNDEFINED__"
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}
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],
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"template": {
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@ -779,11 +802,11 @@
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"show": true,
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"title_case": false,
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"type": "code",
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"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n inputs = [\n Input(\n name=\"input_value\",\n type=str,\n display_name=\"Message\",\n multiline=True,\n input_types=[],\n info=\"Message to be passed as input.\",\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"User\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"text\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n },\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
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"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n inputs = [\n Input(\n name=\"input_value\",\n type=str,\n display_name=\"Text\",\n multiline=True,\n input_types=[],\n info=\"Message to be passed as input.\",\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"User\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
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},
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"input_value": {
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"advanced": false,
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"display_name": "Message",
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"display_name": "Text",
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"dynamic": false,
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"fileTypes": [],
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"file_path": "",
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@ -7,7 +7,7 @@
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"sourceHandle": {
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"dataType": "URL",
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"id": "URL-HYPkR",
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"name": "Record",
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"name": "record",
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"output_types": [
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"Record"
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]
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@ -27,7 +27,7 @@
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"id": "reactflow__edge-URL-HYPkR{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-HYPkRœ}-Prompt-Rse03{œfieldNameœ:œreference_2œ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
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"selected": false,
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"source": "URL-HYPkR",
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"sourceHandle": "{œdataTypeœ: œURLœ, œidœ: œURL-HYPkRœ, œoutput_typesœ: [œRecordœ], œnameœ: œRecordœ}",
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"sourceHandle": "{œdataTypeœ: œURLœ, œidœ: œURL-HYPkRœ, œoutput_typesœ: [œRecordœ], œnameœ: œrecordœ}",
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"style": {
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||||
"stroke": "#555"
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},
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@ -40,7 +40,7 @@
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"sourceHandle": {
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"dataType": "OpenAIModel",
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"id": "OpenAIModel-gi29P",
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"name": "Text",
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"name": "text",
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"output_types": [
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"Text"
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]
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@ -56,7 +56,7 @@
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},
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"id": "reactflow__edge-OpenAIModel-gi29P{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-gi29Pœ}-ChatOutput-JPlxl{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-JPlxlœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
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"source": "OpenAIModel-gi29P",
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"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-gi29Pœ, œoutput_typesœ: [œTextœ], œnameœ: œTextœ}",
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"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-gi29Pœ, œoutput_typesœ: [œTextœ], œnameœ: œtextœ}",
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||||
"style": {
|
||||
"stroke": "#555"
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||||
},
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@ -69,7 +69,7 @@
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"sourceHandle": {
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"dataType": "URL",
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"id": "URL-2cX90",
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"name": "Record",
|
||||
"name": "record",
|
||||
"output_types": [
|
||||
"Record"
|
||||
]
|
||||
|
|
@ -88,7 +88,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-URL-2cX90{œbaseClassesœ:[œRecordœ],œdataTypeœ:œURLœ,œidœ:œURL-2cX90œ}-Prompt-Rse03{œfieldNameœ:œreference_1œ,œidœ:œPrompt-Rse03œ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "URL-2cX90",
|
||||
"sourceHandle": "{œdataTypeœ: œURLœ, œidœ: œURL-2cX90œ, œoutput_typesœ: [œRecordœ], œnameœ: œRecordœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œURLœ, œidœ: œURL-2cX90œ, œoutput_typesœ: [œRecordœ], œnameœ: œrecordœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -133,7 +133,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "Prompt",
|
||||
"id": "Prompt-Rse03",
|
||||
"name": "Text",
|
||||
"name": "prompt",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
]
|
||||
|
|
@ -152,7 +152,7 @@
|
|||
"id": "reactflow__edge-Prompt-Rse03{œbaseClassesœ:[œobjectœ,œTextœ,œstrœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-Rse03œ}-OpenAIModel-gi29P{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-gi29Pœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"selected": false,
|
||||
"source": "Prompt-Rse03",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-Rse03œ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-Rse03œ, œoutput_typesœ: [œPromptœ], œnameœ: œpromptœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -193,22 +193,33 @@
|
|||
"is_input": null,
|
||||
"is_output": null,
|
||||
"name": "",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
],
|
||||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Prompt",
|
||||
"selected": null,
|
||||
"cache": true,
|
||||
"display_name": "Prompt",
|
||||
"method": "build_prompt",
|
||||
"name": "prompt",
|
||||
"selected": "Prompt",
|
||||
"types": [
|
||||
"Prompt"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "format_prompt",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
"_type": "CustomComponent",
|
||||
"_type": "Component",
|
||||
"code": {
|
||||
"advanced": true,
|
||||
"dynamic": true,
|
||||
|
|
@ -225,7 +236,7 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import Input\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n \"code\": Input(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Prompt:\n prompt = await Prompt.from_template_and_variables(template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(Component):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", type=Prompt, display_name=\"Template\"),\n ]\n\n outputs = [\n Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n ]\n\n async def format_prompt(self) -> str:\n prompt = await self.build_prompt()\n formatted_text = prompt.format_text()\n self.status = formatted_text\n return formatted_text\n\n async def build_prompt(\n self,\n ) -> Prompt:\n kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
},
|
||||
"instructions": {
|
||||
"advanced": false,
|
||||
|
|
@ -369,13 +380,15 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": null,
|
||||
"cache": true,
|
||||
"display_name": "Record",
|
||||
"method": null,
|
||||
"name": "Record",
|
||||
"selected": null,
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"types": [
|
||||
"Record"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -470,22 +483,26 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": "Message",
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "text_response",
|
||||
"name": "message",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"display_name": "Record",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "message_response",
|
||||
"name": "message",
|
||||
"selected": "Message",
|
||||
"types": [
|
||||
"Record"
|
||||
]
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -506,11 +523,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Message\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"message\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n \"template\": self.record_template or \"\",\n }\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Text\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Message",
|
||||
"display_name": "Text",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -679,13 +696,15 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": null,
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": null,
|
||||
"name": "Text",
|
||||
"selected": null,
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -948,13 +967,15 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": null,
|
||||
"cache": true,
|
||||
"display_name": "Record",
|
||||
"method": null,
|
||||
"name": "Record",
|
||||
"selected": null,
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"types": [
|
||||
"Record"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
|
|||
|
|
@ -8,14 +8,16 @@
|
|||
"dataType": "ChatInput",
|
||||
"id": "ChatInput-MsSJ9",
|
||||
"name": "message",
|
||||
"output_types": []
|
||||
"output_types": [
|
||||
"Message"
|
||||
]
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "Question",
|
||||
"id": "Prompt-tHwPf",
|
||||
"inputTypes": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Message",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
|
|
@ -24,12 +26,12 @@
|
|||
},
|
||||
"id": "reactflow__edge-ChatInput-MsSJ9{œbaseClassesœ:[œstrœ,œRecordœ,œTextœ,œobjectœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-MsSJ9œ}-Prompt-tHwPf{œfieldNameœ:œQuestionœ,œidœ:œPrompt-tHwPfœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "ChatInput-MsSJ9",
|
||||
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-MsSJ9œ, œoutput_typesœ: [], œnameœ: œmessageœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-MsSJ9œ, œoutput_typesœ: [œMessageœ], œnameœ: œmessageœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
"target": "Prompt-tHwPf",
|
||||
"targetHandle": "{œfieldNameœ: œQuestionœ, œidœ: œPrompt-tHwPfœ, œinputTypesœ: [œDocumentœ, œBaseOutputParserœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
|
||||
"targetHandle": "{œfieldNameœ: œQuestionœ, œidœ: œPrompt-tHwPfœ, œinputTypesœ: [œDocumentœ, œMessageœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
|
||||
},
|
||||
{
|
||||
"className": "stroke-gray-900 stroke-connection",
|
||||
|
|
@ -47,7 +49,7 @@
|
|||
"id": "Prompt-tHwPf",
|
||||
"inputTypes": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Message",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
|
|
@ -61,7 +63,7 @@
|
|||
"stroke": "#555"
|
||||
},
|
||||
"target": "Prompt-tHwPf",
|
||||
"targetHandle": "{œfieldNameœ: œDocumentœ, œidœ: œPrompt-tHwPfœ, œinputTypesœ: [œDocumentœ, œBaseOutputParserœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
|
||||
"targetHandle": "{œfieldNameœ: œDocumentœ, œidœ: œPrompt-tHwPfœ, œinputTypesœ: [œDocumentœ, œMessageœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
|
||||
},
|
||||
{
|
||||
"className": "stroke-gray-900 stroke-connection",
|
||||
|
|
@ -69,7 +71,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "Prompt",
|
||||
"id": "Prompt-tHwPf",
|
||||
"name": "Text",
|
||||
"name": "prompt",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
]
|
||||
|
|
@ -87,7 +89,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-Prompt-tHwPf{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-tHwPfœ}-OpenAIModel-Bt067{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-Bt067œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "Prompt-tHwPf",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-tHwPfœ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-tHwPfœ, œoutput_typesœ: [œPromptœ], œnameœ: œpromptœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -100,7 +102,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "OpenAIModel",
|
||||
"id": "OpenAIModel-Bt067",
|
||||
"name": "Text",
|
||||
"name": "text",
|
||||
"output_types": [
|
||||
"Text"
|
||||
]
|
||||
|
|
@ -116,7 +118,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-OpenAIModel-Bt067{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-Bt067œ}-ChatOutput-F5Awj{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-F5Awjœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "OpenAIModel-Bt067",
|
||||
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-Bt067œ, œoutput_typesœ: [œTextœ], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-Bt067œ, œoutput_typesœ: [œTextœ], œnameœ: œtextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -156,18 +158,29 @@
|
|||
"is_input": null,
|
||||
"is_output": null,
|
||||
"name": "",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
],
|
||||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Prompt",
|
||||
"selected": null,
|
||||
"cache": true,
|
||||
"display_name": "Prompt",
|
||||
"method": "build_prompt",
|
||||
"name": "prompt",
|
||||
"selected": "Prompt",
|
||||
"types": [
|
||||
"Prompt"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "format_prompt",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -181,7 +194,7 @@
|
|||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Message",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
|
|
@ -207,7 +220,7 @@
|
|||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Message",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
|
|
@ -223,7 +236,7 @@
|
|||
"type": "str",
|
||||
"value": ""
|
||||
},
|
||||
"_type": "CustomComponent",
|
||||
"_type": "Component",
|
||||
"code": {
|
||||
"advanced": true,
|
||||
"dynamic": true,
|
||||
|
|
@ -240,7 +253,7 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import Input\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n \"code\": Input(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Prompt:\n prompt = await Prompt.from_template_and_variables(template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(Component):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", type=Prompt, display_name=\"Template\"),\n ]\n\n outputs = [\n Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n ]\n\n async def format_prompt(self) -> str:\n prompt = await self.build_prompt()\n formatted_text = prompt.format_text()\n self.status = formatted_text\n return formatted_text\n\n async def build_prompt(\n self,\n ) -> Prompt:\n kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
},
|
||||
"template": {
|
||||
"advanced": false,
|
||||
|
|
@ -430,22 +443,26 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": "Message",
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "text_response",
|
||||
"name": "message",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"display_name": "Record",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "message_response",
|
||||
"name": "message",
|
||||
"selected": "Message",
|
||||
"types": [
|
||||
"Record"
|
||||
]
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -466,11 +483,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n inputs = [\n Input(\n name=\"input_value\",\n type=str,\n display_name=\"Message\",\n multiline=True,\n input_types=[],\n info=\"Message to be passed as input.\",\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"User\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"text\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n },\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n inputs = [\n Input(\n name=\"input_value\",\n type=str,\n display_name=\"Text\",\n multiline=True,\n input_types=[],\n info=\"Message to be passed as input.\",\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"User\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Message",
|
||||
"display_name": "Text",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -605,22 +622,26 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": "Message",
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "text_response",
|
||||
"name": "message",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"display_name": "Record",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "message_response",
|
||||
"name": "message",
|
||||
"selected": "Message",
|
||||
"types": [
|
||||
"Record"
|
||||
]
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -641,11 +662,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Message\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"message\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n \"template\": self.record_template or \"\",\n }\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Text\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Message",
|
||||
"display_name": "Text",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -819,13 +840,15 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": null,
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": null,
|
||||
"name": "Text",
|
||||
"selected": null,
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
|
|||
|
|
@ -7,7 +7,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "MemoryComponent",
|
||||
"id": "MemoryComponent-cdA1J",
|
||||
"name": "Text",
|
||||
"name": "text",
|
||||
"output_types": [
|
||||
"Text"
|
||||
]
|
||||
|
|
@ -17,7 +17,7 @@
|
|||
"id": "Prompt-ODkUx",
|
||||
"inputTypes": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Message",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
|
|
@ -27,12 +27,12 @@
|
|||
"id": "reactflow__edge-MemoryComponent-cdA1J{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-cdA1Jœ}-Prompt-ODkUx{œfieldNameœ:œcontextœ,œidœ:œPrompt-ODkUxœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"selected": false,
|
||||
"source": "MemoryComponent-cdA1J",
|
||||
"sourceHandle": "{œdataTypeœ: œMemoryComponentœ, œidœ: œMemoryComponent-cdA1Jœ, œoutput_typesœ: [œTextœ], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œMemoryComponentœ, œidœ: œMemoryComponent-cdA1Jœ, œoutput_typesœ: [œTextœ], œnameœ: œtextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
"target": "Prompt-ODkUx",
|
||||
"targetHandle": "{œfieldNameœ: œcontextœ, œidœ: œPrompt-ODkUxœ, œinputTypesœ: [œDocumentœ, œBaseOutputParserœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
|
||||
"targetHandle": "{œfieldNameœ: œcontextœ, œidœ: œPrompt-ODkUxœ, œinputTypesœ: [œDocumentœ, œMessageœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
|
||||
},
|
||||
{
|
||||
"className": "stroke-gray-900 stroke-connection",
|
||||
|
|
@ -41,14 +41,16 @@
|
|||
"dataType": "ChatInput",
|
||||
"id": "ChatInput-t7F8v",
|
||||
"name": "message",
|
||||
"output_types": []
|
||||
"output_types": [
|
||||
"Message"
|
||||
]
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "user_message",
|
||||
"id": "Prompt-ODkUx",
|
||||
"inputTypes": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Message",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
|
|
@ -58,12 +60,12 @@
|
|||
"id": "reactflow__edge-ChatInput-t7F8v{œbaseClassesœ:[œTextœ,œobjectœ,œRecordœ,œstrœ],œdataTypeœ:œChatInputœ,œidœ:œChatInput-t7F8vœ}-Prompt-ODkUx{œfieldNameœ:œuser_messageœ,œidœ:œPrompt-ODkUxœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"selected": false,
|
||||
"source": "ChatInput-t7F8v",
|
||||
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-t7F8vœ, œoutput_typesœ: [], œnameœ: œmessageœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œChatInputœ, œidœ: œChatInput-t7F8vœ, œoutput_typesœ: [œMessageœ], œnameœ: œmessageœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
"target": "Prompt-ODkUx",
|
||||
"targetHandle": "{œfieldNameœ: œuser_messageœ, œidœ: œPrompt-ODkUxœ, œinputTypesœ: [œDocumentœ, œBaseOutputParserœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
|
||||
"targetHandle": "{œfieldNameœ: œuser_messageœ, œidœ: œPrompt-ODkUxœ, œinputTypesœ: [œDocumentœ, œMessageœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
|
||||
},
|
||||
{
|
||||
"className": "stroke-gray-900 stroke-connection",
|
||||
|
|
@ -71,7 +73,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "Prompt",
|
||||
"id": "Prompt-ODkUx",
|
||||
"name": "Text",
|
||||
"name": "prompt",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
]
|
||||
|
|
@ -89,7 +91,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-Prompt-ODkUx{œbaseClassesœ:[œTextœ,œstrœ,œobjectœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-ODkUxœ}-OpenAIModel-9RykF{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-9RykFœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "Prompt-ODkUx",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-ODkUxœ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-ODkUxœ, œoutput_typesœ: [œPromptœ], œnameœ: œpromptœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -102,7 +104,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "OpenAIModel",
|
||||
"id": "OpenAIModel-9RykF",
|
||||
"name": "Text",
|
||||
"name": "text",
|
||||
"output_types": [
|
||||
"Text"
|
||||
]
|
||||
|
|
@ -118,7 +120,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-OpenAIModel-9RykF{œbaseClassesœ:[œstrœ,œobjectœ,œTextœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-9RykFœ}-ChatOutput-P1jEe{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-P1jEeœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "OpenAIModel-9RykF",
|
||||
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-9RykFœ, œoutput_typesœ: [œTextœ], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-9RykFœ, œoutput_typesœ: [œTextœ], œnameœ: œtextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -131,7 +133,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "MemoryComponent",
|
||||
"id": "MemoryComponent-cdA1J",
|
||||
"name": "Text",
|
||||
"name": "text",
|
||||
"output_types": [
|
||||
"Text"
|
||||
]
|
||||
|
|
@ -148,7 +150,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-MemoryComponent-cdA1J{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œMemoryComponentœ,œidœ:œMemoryComponent-cdA1Jœ}-TextOutput-vrs6T{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-vrs6Tœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "MemoryComponent-cdA1J",
|
||||
"sourceHandle": "{œdataTypeœ: œMemoryComponentœ, œidœ: œMemoryComponent-cdA1Jœ, œoutput_typesœ: [œTextœ], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œMemoryComponentœ, œidœ: œMemoryComponent-cdA1Jœ, œoutput_typesœ: [œTextœ], œnameœ: œtextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -185,22 +187,26 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": "Message",
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "text_response",
|
||||
"name": "message",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"display_name": "Record",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "message_response",
|
||||
"name": "message",
|
||||
"selected": "Message",
|
||||
"types": [
|
||||
"Record"
|
||||
]
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -221,11 +227,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n inputs = [\n Input(\n name=\"input_value\",\n type=str,\n display_name=\"Message\",\n multiline=True,\n input_types=[],\n info=\"Message to be passed as input.\",\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"User\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"text\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n },\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n inputs = [\n Input(\n name=\"input_value\",\n type=str,\n display_name=\"Text\",\n multiline=True,\n input_types=[],\n info=\"Message to be passed as input.\",\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"User\",\n info=\"Type of sender.\",\n advanced=True,\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"User\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Message",
|
||||
"display_name": "Text",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -360,22 +366,26 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": "Message",
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "text_response",
|
||||
"name": "message",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"display_name": "Record",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "message_response",
|
||||
"name": "message",
|
||||
"selected": "Message",
|
||||
"types": [
|
||||
"Record"
|
||||
]
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -396,11 +406,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Message\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"message\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n \"template\": self.record_template or \"\",\n }\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Text\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Message",
|
||||
"display_name": "Text",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -563,13 +573,15 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": null,
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": null,
|
||||
"name": "Text",
|
||||
"selected": null,
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -779,22 +791,33 @@
|
|||
"is_input": null,
|
||||
"is_output": null,
|
||||
"name": "",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
],
|
||||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Prompt",
|
||||
"selected": null,
|
||||
"cache": true,
|
||||
"display_name": "Prompt",
|
||||
"method": "build_prompt",
|
||||
"name": "prompt",
|
||||
"selected": "Prompt",
|
||||
"types": [
|
||||
"Prompt"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "format_prompt",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
"_type": "CustomComponent",
|
||||
"_type": "Component",
|
||||
"code": {
|
||||
"advanced": true,
|
||||
"dynamic": true,
|
||||
|
|
@ -811,7 +834,7 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import Input\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n \"code\": Input(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Prompt:\n prompt = await Prompt.from_template_and_variables(template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(Component):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", type=Prompt, display_name=\"Template\"),\n ]\n\n outputs = [\n Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n ]\n\n async def format_prompt(self) -> str:\n prompt = await self.build_prompt()\n formatted_text = prompt.format_text()\n self.status = formatted_text\n return formatted_text\n\n async def build_prompt(\n self,\n ) -> Prompt:\n kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
},
|
||||
"context": {
|
||||
"advanced": false,
|
||||
|
|
@ -823,7 +846,7 @@
|
|||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Message",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
|
|
@ -871,7 +894,7 @@
|
|||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Message",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
|
|
@ -949,13 +972,15 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": null,
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": null,
|
||||
"name": "Text",
|
||||
"selected": null,
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
|
|||
|
|
@ -8,14 +8,16 @@
|
|||
"dataType": "TextInput",
|
||||
"id": "TextInput-sptaH",
|
||||
"name": "text",
|
||||
"output_types": []
|
||||
"output_types": [
|
||||
"Text"
|
||||
]
|
||||
},
|
||||
"targetHandle": {
|
||||
"fieldName": "document",
|
||||
"id": "Prompt-amqBu",
|
||||
"inputTypes": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Message",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
|
|
@ -24,12 +26,12 @@
|
|||
},
|
||||
"id": "reactflow__edge-TextInput-sptaH{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œTextInputœ,œidœ:œTextInput-sptaHœ}-Prompt-amqBu{œfieldNameœ:œdocumentœ,œidœ:œPrompt-amqBuœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "TextInput-sptaH",
|
||||
"sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-sptaHœ, œoutput_typesœ: [], œnameœ: œtextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œTextInputœ, œidœ: œTextInput-sptaHœ, œoutput_typesœ: [œTextœ], œnameœ: œtextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
"target": "Prompt-amqBu",
|
||||
"targetHandle": "{œfieldNameœ: œdocumentœ, œidœ: œPrompt-amqBuœ, œinputTypesœ: [œDocumentœ, œBaseOutputParserœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
|
||||
"targetHandle": "{œfieldNameœ: œdocumentœ, œidœ: œPrompt-amqBuœ, œinputTypesœ: [œDocumentœ, œMessageœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
|
||||
},
|
||||
{
|
||||
"className": "stroke-gray-900 stroke-connection",
|
||||
|
|
@ -37,9 +39,9 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "Prompt",
|
||||
"id": "Prompt-amqBu",
|
||||
"name": "Text",
|
||||
"name": "text",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
"Text"
|
||||
]
|
||||
},
|
||||
"targetHandle": {
|
||||
|
|
@ -54,7 +56,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-Prompt-amqBu{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-amqBuœ}-TextOutput-2MS4a{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-2MS4aœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "Prompt-amqBu",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-amqBuœ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-amqBuœ, œoutput_typesœ: [œTextœ], œnameœ: œtextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -67,7 +69,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "Prompt",
|
||||
"id": "Prompt-amqBu",
|
||||
"name": "Text",
|
||||
"name": "prompt",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
]
|
||||
|
|
@ -85,7 +87,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-Prompt-amqBu{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-amqBuœ}-OpenAIModel-uYXZJ{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-uYXZJœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "Prompt-amqBu",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-amqBuœ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-amqBuœ, œoutput_typesœ: [œPromptœ], œnameœ: œpromptœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -98,7 +100,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "OpenAIModel",
|
||||
"id": "OpenAIModel-uYXZJ",
|
||||
"name": "Text",
|
||||
"name": "text",
|
||||
"output_types": [
|
||||
"Text"
|
||||
]
|
||||
|
|
@ -108,7 +110,7 @@
|
|||
"id": "Prompt-gTNiz",
|
||||
"inputTypes": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Message",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
|
|
@ -117,12 +119,12 @@
|
|||
},
|
||||
"id": "reactflow__edge-OpenAIModel-uYXZJ{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-uYXZJœ}-Prompt-gTNiz{œfieldNameœ:œsummaryœ,œidœ:œPrompt-gTNizœ,œinputTypesœ:[œDocumentœ,œBaseOutputParserœ,œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "OpenAIModel-uYXZJ",
|
||||
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-uYXZJœ, œoutput_typesœ: [œTextœ], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-uYXZJœ, œoutput_typesœ: [œTextœ], œnameœ: œtextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
"target": "Prompt-gTNiz",
|
||||
"targetHandle": "{œfieldNameœ: œsummaryœ, œidœ: œPrompt-gTNizœ, œinputTypesœ: [œDocumentœ, œBaseOutputParserœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
|
||||
"targetHandle": "{œfieldNameœ: œsummaryœ, œidœ: œPrompt-gTNizœ, œinputTypesœ: [œDocumentœ, œMessageœ, œRecordœ, œTextœ], œtypeœ: œstrœ}"
|
||||
},
|
||||
{
|
||||
"className": "stroke-gray-900 stroke-connection",
|
||||
|
|
@ -130,7 +132,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "OpenAIModel",
|
||||
"id": "OpenAIModel-uYXZJ",
|
||||
"name": "Text",
|
||||
"name": "text",
|
||||
"output_types": [
|
||||
"Text"
|
||||
]
|
||||
|
|
@ -146,7 +148,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-OpenAIModel-uYXZJ{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-uYXZJœ}-ChatOutput-EJkG3{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-EJkG3œ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "OpenAIModel-uYXZJ",
|
||||
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-uYXZJœ, œoutput_typesœ: [œTextœ], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-uYXZJœ, œoutput_typesœ: [œTextœ], œnameœ: œtextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -159,9 +161,9 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "Prompt",
|
||||
"id": "Prompt-gTNiz",
|
||||
"name": "Text",
|
||||
"name": "text",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
"Text"
|
||||
]
|
||||
},
|
||||
"targetHandle": {
|
||||
|
|
@ -176,7 +178,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-Prompt-gTNiz{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-gTNizœ}-TextOutput-MUDOR{œfieldNameœ:œinput_valueœ,œidœ:œTextOutput-MUDORœ,œinputTypesœ:[œRecordœ,œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "Prompt-gTNiz",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-gTNizœ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-gTNizœ, œoutput_typesœ: [œTextœ], œnameœ: œtextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -189,7 +191,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "Prompt",
|
||||
"id": "Prompt-gTNiz",
|
||||
"name": "Text",
|
||||
"name": "prompt",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
]
|
||||
|
|
@ -207,7 +209,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-Prompt-gTNiz{œbaseClassesœ:[œobjectœ,œstrœ,œTextœ],œdataTypeœ:œPromptœ,œidœ:œPrompt-gTNizœ}-OpenAIModel-XawYB{œfieldNameœ:œinput_valueœ,œidœ:œOpenAIModel-XawYBœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "Prompt-gTNiz",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-gTNizœ, œoutput_typesœ: [œPromptœ], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œPromptœ, œidœ: œPrompt-gTNizœ, œoutput_typesœ: [œPromptœ], œnameœ: œpromptœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -220,7 +222,7 @@
|
|||
"sourceHandle": {
|
||||
"dataType": "OpenAIModel",
|
||||
"id": "OpenAIModel-XawYB",
|
||||
"name": "Text",
|
||||
"name": "text",
|
||||
"output_types": [
|
||||
"Text"
|
||||
]
|
||||
|
|
@ -236,7 +238,7 @@
|
|||
},
|
||||
"id": "reactflow__edge-OpenAIModel-XawYB{œbaseClassesœ:[œstrœ,œTextœ,œobjectœ],œdataTypeœ:œOpenAIModelœ,œidœ:œOpenAIModel-XawYBœ}-ChatOutput-DNmvg{œfieldNameœ:œinput_valueœ,œidœ:œChatOutput-DNmvgœ,œinputTypesœ:[œTextœ],œtypeœ:œstrœ}",
|
||||
"source": "OpenAIModel-XawYB",
|
||||
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-XawYBœ, œoutput_typesœ: [œTextœ], œnameœ: œTextœ}",
|
||||
"sourceHandle": "{œdataTypeœ: œOpenAIModelœ, œidœ: œOpenAIModel-XawYBœ, œoutput_typesœ: [œTextœ], œnameœ: œtextœ}",
|
||||
"style": {
|
||||
"stroke": "#555"
|
||||
},
|
||||
|
|
@ -275,22 +277,33 @@
|
|||
"is_input": null,
|
||||
"is_output": null,
|
||||
"name": "",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
],
|
||||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Prompt",
|
||||
"selected": null,
|
||||
"cache": true,
|
||||
"display_name": "Prompt",
|
||||
"method": "build_prompt",
|
||||
"name": "prompt",
|
||||
"selected": "Prompt",
|
||||
"types": [
|
||||
"Prompt"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "format_prompt",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
"_type": "CustomComponent",
|
||||
"_type": "Component",
|
||||
"code": {
|
||||
"advanced": true,
|
||||
"dynamic": true,
|
||||
|
|
@ -307,7 +320,7 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import Input\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n \"code\": Input(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Prompt:\n prompt = await Prompt.from_template_and_variables(template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(Component):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", type=Prompt, display_name=\"Template\"),\n ]\n\n outputs = [\n Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n ]\n\n async def format_prompt(self) -> str:\n prompt = await self.build_prompt()\n formatted_text = prompt.format_text()\n self.status = formatted_text\n return formatted_text\n\n async def build_prompt(\n self,\n ) -> Prompt:\n kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
},
|
||||
"document": {
|
||||
"advanced": false,
|
||||
|
|
@ -319,7 +332,7 @@
|
|||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Message",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
|
|
@ -406,22 +419,33 @@
|
|||
"is_input": null,
|
||||
"is_output": null,
|
||||
"name": "",
|
||||
"output_types": [
|
||||
"Prompt"
|
||||
],
|
||||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": null,
|
||||
"method": null,
|
||||
"name": "Prompt",
|
||||
"selected": null,
|
||||
"cache": true,
|
||||
"display_name": "Prompt",
|
||||
"method": "build_prompt",
|
||||
"name": "prompt",
|
||||
"selected": "Prompt",
|
||||
"types": [
|
||||
"Prompt"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "format_prompt",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
"_type": "CustomComponent",
|
||||
"_type": "Component",
|
||||
"code": {
|
||||
"advanced": true,
|
||||
"dynamic": true,
|
||||
|
|
@ -438,7 +462,7 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.custom import CustomComponent\nfrom langflow.field_typing import Input\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n \"code\": Input(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Prompt:\n prompt = await Prompt.from_template_and_variables(template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
"value": "from langflow.custom import Component\nfrom langflow.field_typing import Input, Output\nfrom langflow.field_typing.prompt import Prompt\n\n\nclass PromptComponent(Component):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": Input(display_name=\"Template\"),\n }\n\n inputs = [\n Input(name=\"template\", type=Prompt, display_name=\"Template\"),\n ]\n\n outputs = [\n Output(display_name=\"Prompt\", name=\"prompt\", method=\"build_prompt\"),\n Output(display_name=\"Text\", name=\"text\", method=\"format_prompt\"),\n ]\n\n async def format_prompt(self) -> str:\n prompt = await self.build_prompt()\n formatted_text = prompt.format_text()\n self.status = formatted_text\n return formatted_text\n\n async def build_prompt(\n self,\n ) -> Prompt:\n kwargs = {k: v for k, v in self._arguments.items() if k != \"template\"}\n prompt = await Prompt.from_template_and_variables(self.template, kwargs)\n self.status = prompt.format_text()\n return prompt\n"
|
||||
},
|
||||
"summary": {
|
||||
"advanced": false,
|
||||
|
|
@ -450,7 +474,7 @@
|
|||
"info": "",
|
||||
"input_types": [
|
||||
"Document",
|
||||
"BaseOutputParser",
|
||||
"Message",
|
||||
"Record",
|
||||
"Text"
|
||||
],
|
||||
|
|
@ -532,22 +556,26 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": "Message",
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "text_response",
|
||||
"name": "message",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"display_name": "Record",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "message_response",
|
||||
"name": "message",
|
||||
"selected": "Message",
|
||||
"types": [
|
||||
"Record"
|
||||
]
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -568,11 +596,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Message\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"message\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n \"template\": self.record_template or \"\",\n }\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Text\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Message",
|
||||
"display_name": "Text",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -728,22 +756,26 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": "Message",
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "text_response",
|
||||
"name": "message",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
},
|
||||
{
|
||||
"display_name": "Record",
|
||||
"method": "record_response",
|
||||
"name": "record",
|
||||
"selected": "Record",
|
||||
"cache": true,
|
||||
"display_name": "Message",
|
||||
"method": "message_response",
|
||||
"name": "message",
|
||||
"selected": "Message",
|
||||
"types": [
|
||||
"Record"
|
||||
]
|
||||
"Message"
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -764,11 +796,11 @@
|
|||
"show": true,
|
||||
"title_case": false,
|
||||
"type": "code",
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Message\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Message\", name=\"message\", method=\"text_response\"),\n Output(display_name=\"Record\", name=\"record\", method=\"record_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Record, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def record_response(self) -> Record:\n record = Record(\n data={\n \"message\": self.input_value,\n \"sender\": self.sender,\n \"sender_name\": self.sender_name,\n \"session_id\": self.session_id,\n \"template\": self.record_template or \"\",\n }\n )\n if self.session_id and isinstance(record, (Record, str)):\n self.store_message(record, self.session_id, self.sender, self.sender_name)\n return record\n"
|
||||
"value": "from langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema.message import Message\nfrom langflow.template import Input, Output\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n inputs = [\n Input(\n name=\"input_value\", type=str, display_name=\"Text\", multiline=True, info=\"Message to be passed as output.\"\n ),\n Input(\n name=\"sender\",\n type=str,\n display_name=\"Sender Type\",\n options=[\"Machine\", \"User\"],\n value=\"Machine\",\n advanced=True,\n info=\"Type of sender.\",\n ),\n Input(name=\"sender_name\", type=str, display_name=\"Sender Name\", info=\"Name of the sender.\", value=\"AI\"),\n Input(\n name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n ),\n Input(\n name=\"record_template\",\n type=str,\n display_name=\"Record Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n ),\n ]\n outputs = [\n Output(display_name=\"Text\", name=\"text\", method=\"text_response\"),\n Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n ]\n\n def text_response(self) -> Text:\n result = self.input_value\n if self.session_id and isinstance(result, (Message, str)):\n self.store_message(result, self.session_id, self.sender, self.sender_name)\n return result\n\n def message_response(self) -> Message:\n message = Message(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=self.session_id,\n )\n if self.session_id and isinstance(message, (Message, str)):\n self.store_message(message)\n self.status = message\n return message\n"
|
||||
},
|
||||
"input_value": {
|
||||
"advanced": false,
|
||||
"display_name": "Message",
|
||||
"display_name": "Text",
|
||||
"dynamic": false,
|
||||
"fileTypes": [],
|
||||
"file_path": "",
|
||||
|
|
@ -918,13 +950,15 @@
|
|||
"output_types": [],
|
||||
"outputs": [
|
||||
{
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": "text_response",
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -1162,13 +1196,15 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": null,
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": null,
|
||||
"name": "Text",
|
||||
"selected": null,
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
@ -1559,13 +1595,15 @@
|
|||
],
|
||||
"outputs": [
|
||||
{
|
||||
"display_name": null,
|
||||
"cache": true,
|
||||
"display_name": "Text",
|
||||
"method": null,
|
||||
"name": "Text",
|
||||
"selected": null,
|
||||
"name": "text",
|
||||
"selected": "Text",
|
||||
"types": [
|
||||
"Text"
|
||||
]
|
||||
],
|
||||
"value": "__UNDEFINED__"
|
||||
}
|
||||
],
|
||||
"template": {
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
|
|
@ -25,7 +25,7 @@ export default function SwitchOutputView(nodeId): JSX.Element {
|
|||
const resultType = results?.type;
|
||||
let resultMessage = results?.message;
|
||||
const RECORD_TYPES = ["record", "object", "array", "message"];
|
||||
if (resultMessage.raw) {
|
||||
if (resultMessage?.raw) {
|
||||
resultMessage = resultMessage.raw;
|
||||
}
|
||||
return (
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue