mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-22 09:01:09 +03:00
788d40f26b
* fixes * test json * test json * externalize model list * externalize model list * correcting awsChatBedRock Name * lint fixes * externalize models * externalize chat models * externalize chat models * externalize llm models * externalize llm models * lint fixes * addition of models for ChatMistral * updating version numbers for all imapacted nodes. * marketplace template updates * update embeddings, marketplaces, add chatCohere * config changes for new env variable * removal of local models.json * update models json file --------- Co-authored-by: Henry <hzj94@hotmail.com>
1140 lines
47 KiB
JSON
1140 lines
47 KiB
JSON
{
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"description": "Split flows based on if else condition",
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"categories": "IfElse Function,ChatOpenAI,OpenAI,LLM Chain,Langchain",
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"framework": "Langchain",
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"badge": "new",
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"nodes": [
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{
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"width": 300,
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"height": 511,
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"id": "promptTemplate_0",
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"position": {
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"type": "customNode",
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"data": {
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"id": "promptTemplate_0",
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"label": "Prompt Template",
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"version": 1,
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"name": "promptTemplate",
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"type": "PromptTemplate",
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"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
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"category": "Prompts",
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"description": "Schema to represent a basic prompt for an LLM",
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"inputParams": [
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{
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"label": "Template",
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"name": "template",
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"type": "string",
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"rows": 4,
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"placeholder": "What is a good name for a company that makes {product}?",
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"id": "promptTemplate_0-input-template-string"
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},
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{
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"label": "Format Prompt Values",
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"name": "promptValues",
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"type": "json",
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"optional": true,
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"acceptVariable": true,
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"list": true,
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"id": "promptTemplate_0-input-promptValues-json"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"template": "You are an AI who performs one task based on the following objective: {objective}.\nRespond with how you would complete this task:",
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"promptValues": "{\"objective\":\"{{question}}\"}"
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},
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"outputAnchors": [
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{
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"id": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
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"name": "promptTemplate",
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"label": "PromptTemplate",
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"type": "PromptTemplate | BaseStringPromptTemplate | BasePromptTemplate"
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}
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],
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"outputs": {},
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"selected": false
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},
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"selected": false,
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{
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"width": 300,
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"height": 511,
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"id": "promptTemplate_1",
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"position": {
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"type": "customNode",
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"data": {
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"id": "promptTemplate_1",
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"label": "Prompt Template",
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"version": 1,
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"name": "promptTemplate",
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"type": "PromptTemplate",
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"baseClasses": ["PromptTemplate", "BaseStringPromptTemplate", "BasePromptTemplate"],
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"category": "Prompts",
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"description": "Schema to represent a basic prompt for an LLM",
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"inputParams": [
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{
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"label": "Template",
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"name": "template",
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"type": "string",
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"rows": 4,
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"placeholder": "What is a good name for a company that makes {product}?",
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"id": "promptTemplate_1-input-template-string"
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},
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{
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"label": "Format Prompt Values",
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"name": "promptValues",
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"type": "json",
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"optional": true,
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"acceptVariable": true,
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"list": true,
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"id": "promptTemplate_1-input-promptValues-json"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"template": "You are a task creation AI that uses the result of an execution agent to create new tasks with the following objective: {objective}.\nThe last completed task has the result: {result}.\nBased on the result, create new tasks to be completed by the AI system that do not overlap with result.\nReturn the tasks as an array.",
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"promptValues": "{\"objective\":\"{{question}}\",\"result\":\"{{ifElseFunction_0.data.instance}}\"}"
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},
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"outputAnchors": [
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{
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"id": "promptTemplate_1-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
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"name": "promptTemplate",
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"label": "PromptTemplate",
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"type": "PromptTemplate | BaseStringPromptTemplate | BasePromptTemplate"
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}
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],
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"outputs": {},
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"selected": false
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"dragging": false
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},
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{
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"width": 300,
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"height": 574,
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"id": "openAI_1",
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"position": {
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"type": "customNode",
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"data": {
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"id": "openAI_1",
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"label": "OpenAI",
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"version": 4.0,
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"name": "openAI",
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"type": "OpenAI",
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"baseClasses": ["OpenAI", "BaseLLM", "BaseLanguageModel"],
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"category": "LLMs",
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"description": "Wrapper around OpenAI large language models",
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"inputParams": [
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{
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"label": "Connect Credential",
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"name": "credential",
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"type": "credential",
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"credentialNames": ["openAIApi"],
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"id": "openAI_1-input-credential-credential"
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},
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{
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"label": "Model Name",
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"name": "modelName",
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"type": "asyncOptions",
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"loadMethod": "listModels",
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"default": "gpt-3.5-turbo-instruct",
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"id": "openAI_1-input-modelName-options"
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},
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{
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"label": "Temperature",
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"name": "temperature",
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"type": "number",
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"default": 0.7,
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"optional": true,
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"id": "openAI_1-input-temperature-number"
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},
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{
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"label": "Max Tokens",
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"name": "maxTokens",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_1-input-maxTokens-number"
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},
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{
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"label": "Top Probability",
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"name": "topP",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_1-input-topP-number"
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},
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{
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"label": "Best Of",
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"name": "bestOf",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_1-input-bestOf-number"
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},
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{
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"label": "Frequency Penalty",
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"name": "frequencyPenalty",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_1-input-frequencyPenalty-number"
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},
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{
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"label": "Presence Penalty",
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"name": "presencePenalty",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_1-input-presencePenalty-number"
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},
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{
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"label": "Batch Size",
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"name": "batchSize",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_1-input-batchSize-number"
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},
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{
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"label": "Timeout",
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"name": "timeout",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_1-input-timeout-number"
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},
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{
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"label": "BasePath",
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"name": "basepath",
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"type": "string",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_1-input-basepath-string"
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}
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],
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"inputAnchors": [
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{
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"label": "Cache",
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"name": "cache",
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"type": "BaseCache",
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"optional": true,
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"id": "openAI_1-input-cache-BaseCache"
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}
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],
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"inputs": {
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"modelName": "gpt-3.5-turbo-instruct",
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"temperature": 0.7,
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"maxTokens": "",
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"topP": "",
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"bestOf": "",
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"frequencyPenalty": "",
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"presencePenalty": "",
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"batchSize": "",
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"timeout": "",
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"basepath": ""
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},
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"outputAnchors": [
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{
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"id": "openAI_1-output-openAI-OpenAI|BaseLLM|BaseLanguageModel",
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"name": "openAI",
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"label": "OpenAI",
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"type": "OpenAI | BaseLLM | BaseLanguageModel"
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}
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],
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"outputs": {},
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"selected": false
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"selected": false,
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{
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"width": 300,
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"height": 574,
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"id": "openAI_2",
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"position": {
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"type": "customNode",
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"data": {
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"id": "openAI_2",
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"label": "OpenAI",
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"version": 4.0,
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"name": "openAI",
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"type": "OpenAI",
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"baseClasses": ["OpenAI", "BaseLLM", "BaseLanguageModel"],
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"category": "LLMs",
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"description": "Wrapper around OpenAI large language models",
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"inputParams": [
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{
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"label": "Connect Credential",
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"name": "credential",
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"type": "credential",
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"credentialNames": ["openAIApi"],
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"id": "openAI_2-input-credential-credential"
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},
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{
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"label": "Model Name",
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"name": "modelName",
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"type": "asyncOptions",
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"loadMethod": "listModels",
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"default": "gpt-3.5-turbo-instruct",
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"id": "openAI_2-input-modelName-options"
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},
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{
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"label": "Temperature",
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"name": "temperature",
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"type": "number",
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"default": 0.7,
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"optional": true,
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"id": "openAI_2-input-temperature-number"
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},
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{
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"label": "Max Tokens",
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"name": "maxTokens",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_2-input-maxTokens-number"
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},
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{
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"label": "Top Probability",
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"name": "topP",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_2-input-topP-number"
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},
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{
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"label": "Best Of",
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"name": "bestOf",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_2-input-bestOf-number"
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},
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{
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"label": "Frequency Penalty",
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"name": "frequencyPenalty",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_2-input-frequencyPenalty-number"
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},
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{
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"label": "Presence Penalty",
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"name": "presencePenalty",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_2-input-presencePenalty-number"
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},
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{
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"label": "Batch Size",
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"name": "batchSize",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_2-input-batchSize-number"
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},
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{
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"label": "Timeout",
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"name": "timeout",
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"type": "number",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_2-input-timeout-number"
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},
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{
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"label": "BasePath",
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"name": "basepath",
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"type": "string",
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"optional": true,
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"additionalParams": true,
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"id": "openAI_2-input-basepath-string"
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}
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],
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"inputAnchors": [
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{
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"label": "Cache",
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"name": "cache",
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"type": "BaseCache",
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"optional": true,
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"id": "openAI_2-input-cache-BaseCache"
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}
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],
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"inputs": {
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"modelName": "gpt-3.5-turbo-instruct",
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"temperature": 0.7,
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"maxTokens": "",
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"topP": "",
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"bestOf": "",
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"frequencyPenalty": "",
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"presencePenalty": "",
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"batchSize": "",
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"timeout": "",
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"basepath": ""
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},
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"outputAnchors": [
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{
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"id": "openAI_2-output-openAI-OpenAI|BaseLLM|BaseLanguageModel",
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"name": "openAI",
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"label": "OpenAI",
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"type": "OpenAI | BaseLLM | BaseLanguageModel"
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}
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],
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"outputs": {},
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"selected": false
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},
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"selected": false,
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"positionAbsolute": {
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"dragging": false
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},
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{
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"width": 300,
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"height": 456,
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"id": "llmChain_0",
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"position": {
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"y": 385.0159960992951
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},
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"type": "customNode",
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"data": {
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"id": "llmChain_0",
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"label": "LLM Chain",
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"version": 3,
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"name": "llmChain",
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"type": "LLMChain",
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"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
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"category": "Chains",
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"description": "Chain to run queries against LLMs",
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"inputParams": [
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{
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"label": "Chain Name",
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"name": "chainName",
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"type": "string",
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"placeholder": "Name Your Chain",
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"optional": true,
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"id": "llmChain_0-input-chainName-string"
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}
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],
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"inputAnchors": [
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{
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"label": "Language Model",
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"name": "model",
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"type": "BaseLanguageModel",
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"id": "llmChain_0-input-model-BaseLanguageModel"
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},
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{
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"label": "Prompt",
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"name": "prompt",
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"type": "BasePromptTemplate",
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"id": "llmChain_0-input-prompt-BasePromptTemplate"
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},
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{
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"label": "Output Parser",
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"name": "outputParser",
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"type": "BaseLLMOutputParser",
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"optional": true,
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"id": "llmChain_0-input-outputParser-BaseLLMOutputParser"
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},
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{
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"label": "Input Moderation",
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"description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
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"name": "inputModeration",
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"type": "Moderation",
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"optional": true,
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"list": true,
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"id": "llmChain_0-input-inputModeration-Moderation"
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}
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],
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"inputs": {
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"model": "{{openAI_1.data.instance}}",
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"prompt": "{{promptTemplate_0.data.instance}}",
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"outputParser": "",
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"chainName": "FirstChain",
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"inputModeration": ""
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},
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"outputAnchors": [
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{
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"name": "output",
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"label": "Output",
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"type": "options",
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"options": [
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{
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"id": "llmChain_0-output-llmChain-LLMChain|BaseChain|Runnable",
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|
"name": "llmChain",
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|
"label": "LLM Chain",
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"type": "LLMChain | BaseChain | Runnable"
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|
},
|
|
{
|
|
"id": "llmChain_0-output-outputPrediction-string|json",
|
|
"name": "outputPrediction",
|
|
"label": "Output Prediction",
|
|
"type": "string | json"
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}
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|
],
|
|
"default": "llmChain"
|
|
}
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],
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"outputs": {
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"output": "outputPrediction"
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},
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"selected": false
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},
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{
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"width": 300,
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"height": 456,
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"id": "llmChain_1",
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"position": {
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},
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"type": "customNode",
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"data": {
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"id": "llmChain_1",
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"label": "LLM Chain",
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"version": 3,
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"name": "llmChain",
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"type": "LLMChain",
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"baseClasses": ["LLMChain", "BaseChain", "Runnable"],
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"category": "Chains",
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"description": "Chain to run queries against LLMs",
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"sourceHandle": "promptTemplate_1-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
|
|
"target": "llmChain_1",
|
|
"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
|
|
"type": "buttonedge",
|
|
"id": "promptTemplate_1-promptTemplate_1-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
|
|
"data": {
|
|
"label": ""
|
|
}
|
|
},
|
|
{
|
|
"source": "openAI_2",
|
|
"sourceHandle": "openAI_2-output-openAI-OpenAI|BaseLLM|BaseLanguageModel",
|
|
"target": "llmChain_1",
|
|
"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
|
|
"type": "buttonedge",
|
|
"id": "openAI_2-openAI_2-output-openAI-OpenAI|BaseLLM|BaseLanguageModel-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
|
|
"data": {
|
|
"label": ""
|
|
}
|
|
},
|
|
{
|
|
"source": "promptTemplate_2",
|
|
"sourceHandle": "promptTemplate_2-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
|
|
"target": "llmChain_2",
|
|
"targetHandle": "llmChain_2-input-prompt-BasePromptTemplate",
|
|
"type": "buttonedge",
|
|
"id": "promptTemplate_2-promptTemplate_2-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_2-llmChain_2-input-prompt-BasePromptTemplate"
|
|
},
|
|
{
|
|
"source": "llmChain_0",
|
|
"sourceHandle": "llmChain_0-output-outputPrediction-string|json",
|
|
"target": "ifElseFunction_0",
|
|
"targetHandle": "ifElseFunction_0-input-functionInputVariables-json",
|
|
"type": "buttonedge",
|
|
"id": "llmChain_0-llmChain_0-output-outputPrediction-string|json-ifElseFunction_0-ifElseFunction_0-input-functionInputVariables-json"
|
|
},
|
|
{
|
|
"source": "ifElseFunction_0",
|
|
"sourceHandle": "ifElseFunction_0-output-returnFalse-string|number|boolean|json|array",
|
|
"target": "promptTemplate_2",
|
|
"targetHandle": "promptTemplate_2-input-promptValues-json",
|
|
"type": "buttonedge",
|
|
"id": "ifElseFunction_0-ifElseFunction_0-output-returnFalse-string|number|boolean|json|array-promptTemplate_2-promptTemplate_2-input-promptValues-json"
|
|
},
|
|
{
|
|
"source": "ifElseFunction_0",
|
|
"sourceHandle": "ifElseFunction_0-output-returnTrue-string|number|boolean|json|array",
|
|
"target": "promptTemplate_1",
|
|
"targetHandle": "promptTemplate_1-input-promptValues-json",
|
|
"type": "buttonedge",
|
|
"id": "ifElseFunction_0-ifElseFunction_0-output-returnTrue-string|number|boolean|json|array-promptTemplate_1-promptTemplate_1-input-promptValues-json"
|
|
},
|
|
{
|
|
"source": "chatOpenAI_0",
|
|
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable",
|
|
"target": "llmChain_2",
|
|
"targetHandle": "llmChain_2-input-model-BaseLanguageModel",
|
|
"type": "buttonedge",
|
|
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|Runnable-llmChain_2-llmChain_2-input-model-BaseLanguageModel"
|
|
}
|
|
]
|
|
}
|