mirror of
https://github.com/farcasclaudiu/Flowise.git
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Henry
273 lines
12 KiB
JSON
273 lines
12 KiB
JSON
{
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"description": "Simple LLM Chain using HuggingFace Inference API on falcon-7b-instruct model",
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"nodes": [
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{
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"width": 300,
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"height": 405,
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"id": "llmChain_1",
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"position": {
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"x": 970.9254258940236,
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"y": 320.56761595884564
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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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"name": "llmChain",
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"type": "LLMChain",
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"baseClasses": ["LLMChain", "BaseChain", "BaseLangChain"],
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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_1-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_1-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_1-input-prompt-BasePromptTemplate"
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}
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],
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"inputs": {
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"model": "{{huggingFaceInference_LLMs_0.data.instance}}",
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"prompt": "{{promptTemplate_0.data.instance}}",
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"chainName": ""
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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_1-output-llmChain-LLMChain|BaseChain|BaseLangChain",
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"name": "llmChain",
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"label": "LLM Chain",
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"type": "LLMChain | BaseChain | BaseLangChain"
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},
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{
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"id": "llmChain_1-output-outputPrediction-string|json",
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"name": "outputPrediction",
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"label": "Output Prediction",
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"type": "string | json"
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}
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],
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"default": "llmChain"
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}
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],
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"outputs": {
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"output": "llmChain"
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},
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"selected": false
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},
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"positionAbsolute": {
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"x": 970.9254258940236,
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"y": 320.56761595884564
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},
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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": 429,
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"id": "huggingFaceInference_LLMs_0",
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"position": {
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"x": 503.5630827259226,
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"y": 50.79125094823999
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},
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"type": "customNode",
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"data": {
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"id": "huggingFaceInference_LLMs_0",
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"label": "HuggingFace Inference",
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"name": "huggingFaceInference_LLMs",
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"type": "HuggingFaceInference",
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"baseClasses": ["HuggingFaceInference", "LLM", "BaseLLM", "BaseLanguageModel", "BaseLangChain"],
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"category": "LLMs",
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"description": "Wrapper around HuggingFace large language models",
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"inputParams": [
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{
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"label": "Model",
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"name": "model",
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"type": "string",
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"placeholder": "gpt2",
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"id": "huggingFaceInference_LLMs_0-input-model-string"
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},
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{
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"label": "HuggingFace Api Key",
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"name": "apiKey",
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"type": "password",
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"id": "huggingFaceInference_LLMs_0-input-apiKey-password"
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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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"description": "Temperature parameter may not apply to certain model. Please check available model parameters",
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"optional": true,
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"additionalParams": true,
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"id": "huggingFaceInference_LLMs_0-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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"description": "Max Tokens parameter may not apply to certain model. Please check available model parameters",
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"optional": true,
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"additionalParams": true,
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"id": "huggingFaceInference_LLMs_0-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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"description": "Top Probability parameter may not apply to certain model. Please check available model parameters",
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"optional": true,
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"additionalParams": true,
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"id": "huggingFaceInference_LLMs_0-input-topP-number"
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},
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{
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"label": "Top K",
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"name": "hfTopK",
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"type": "number",
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"description": "Top K parameter may not apply to certain model. Please check available model parameters",
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"optional": true,
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"additionalParams": true,
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"id": "huggingFaceInference_LLMs_0-input-hfTopK-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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"description": "Frequency Penalty parameter may not apply to certain model. Please check available model parameters",
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"optional": true,
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"additionalParams": true,
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"id": "huggingFaceInference_LLMs_0-input-frequencyPenalty-number"
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}
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],
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"inputAnchors": [],
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"inputs": {
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"model": "tiiuae/falcon-7b-instruct",
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"temperature": "",
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"maxTokens": "200",
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"topP": "",
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"hfTopK": "10",
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"frequencyPenalty": ""
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},
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"outputAnchors": [
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{
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"id": "huggingFaceInference_LLMs_0-output-huggingFaceInference_LLMs-HuggingFaceInference|LLM|BaseLLM|BaseLanguageModel|BaseLangChain",
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"name": "huggingFaceInference_LLMs",
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"label": "HuggingFaceInference",
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"type": "HuggingFaceInference | LLM | BaseLLM | BaseLanguageModel | BaseLangChain"
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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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"x": 503.5630827259226,
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"y": 50.79125094823999
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},
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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": 475,
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"id": "promptTemplate_0",
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"position": {
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"x": 506.50436294210306,
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"y": 504.50766458127396
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},
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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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"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": "Question: {question}\n\nAnswer: Let's think step by step.",
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"promptValues": ""
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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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"positionAbsolute": {
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"x": 506.50436294210306,
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"y": 504.50766458127396
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},
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"dragging": false
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}
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],
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"edges": [
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{
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"source": "huggingFaceInference_LLMs_0",
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"sourceHandle": "huggingFaceInference_LLMs_0-output-huggingFaceInference_LLMs-HuggingFaceInference|LLM|BaseLLM|BaseLanguageModel|BaseLangChain",
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"target": "llmChain_1",
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"targetHandle": "llmChain_1-input-model-BaseLanguageModel",
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"type": "buttonedge",
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"id": "huggingFaceInference_LLMs_0-huggingFaceInference_LLMs_0-output-huggingFaceInference_LLMs-HuggingFaceInference|LLM|BaseLLM|BaseLanguageModel|BaseLangChain-llmChain_1-llmChain_1-input-model-BaseLanguageModel",
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"data": {
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"label": ""
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}
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},
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{
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"source": "promptTemplate_0",
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"sourceHandle": "promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate",
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"target": "llmChain_1",
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"targetHandle": "llmChain_1-input-prompt-BasePromptTemplate",
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"type": "buttonedge",
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"id": "promptTemplate_0-promptTemplate_0-output-promptTemplate-PromptTemplate|BaseStringPromptTemplate|BasePromptTemplate-llmChain_1-llmChain_1-input-prompt-BasePromptTemplate",
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"data": {
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"label": ""
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}
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}
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]
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}
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