mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-29 03:01:10 +03:00
- update marketplaces
- add version to nodes and credentials - hover over node actions
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@@ -5,6 +5,7 @@ import { AzureOpenAIInput, OpenAI, OpenAIInput } from 'langchain/llms/openai'
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class AzureOpenAI_LLMs implements INode {
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label: string
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name: string
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version: number
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type: string
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icon: string
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category: string
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@@ -16,6 +17,7 @@ class AzureOpenAI_LLMs implements INode {
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constructor() {
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this.label = 'Azure OpenAI'
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this.name = 'azureOpenAI'
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this.version = 1.0
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this.type = 'AzureOpenAI'
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this.icon = 'Azure.svg'
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this.category = 'LLMs'
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@@ -89,6 +91,7 @@ class AzureOpenAI_LLMs implements INode {
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label: 'Temperature',
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name: 'temperature',
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type: 'number',
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step: 0.1,
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default: 0.9,
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optional: true
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},
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@@ -96,6 +99,7 @@ class AzureOpenAI_LLMs implements INode {
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label: 'Max Tokens',
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name: 'maxTokens',
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type: 'number',
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step: 1,
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optional: true,
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additionalParams: true
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},
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@@ -103,6 +107,7 @@ class AzureOpenAI_LLMs implements INode {
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label: 'Top Probability',
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name: 'topP',
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type: 'number',
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step: 0.1,
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optional: true,
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additionalParams: true
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},
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@@ -110,6 +115,7 @@ class AzureOpenAI_LLMs implements INode {
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label: 'Best Of',
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name: 'bestOf',
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type: 'number',
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step: 1,
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optional: true,
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additionalParams: true
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},
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@@ -117,6 +123,7 @@ class AzureOpenAI_LLMs implements INode {
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label: 'Frequency Penalty',
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name: 'frequencyPenalty',
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type: 'number',
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step: 0.1,
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optional: true,
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additionalParams: true
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},
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@@ -124,6 +131,7 @@ class AzureOpenAI_LLMs implements INode {
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label: 'Presence Penalty',
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name: 'presencePenalty',
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type: 'number',
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step: 0.1,
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optional: true,
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additionalParams: true
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},
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@@ -131,6 +139,7 @@ class AzureOpenAI_LLMs implements INode {
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label: 'Timeout',
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name: 'timeout',
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type: 'number',
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step: 1,
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optional: true,
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additionalParams: true
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}
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@@ -166,8 +175,8 @@ class AzureOpenAI_LLMs implements INode {
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if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
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if (topP) obj.topP = parseFloat(topP)
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if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10)
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if (presencePenalty) obj.presencePenalty = parseInt(presencePenalty, 10)
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if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
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if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty)
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if (timeout) obj.timeout = parseInt(timeout, 10)
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if (bestOf) obj.bestOf = parseInt(bestOf, 10)
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@@ -5,6 +5,7 @@ import { Cohere, CohereInput } from './core'
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class Cohere_LLMs implements INode {
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label: string
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name: string
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version: number
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type: string
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icon: string
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category: string
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@@ -16,6 +17,7 @@ class Cohere_LLMs implements INode {
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constructor() {
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this.label = 'Cohere'
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this.name = 'cohere'
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this.version = 1.0
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this.type = 'Cohere'
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this.icon = 'cohere.png'
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this.category = 'LLMs'
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@@ -65,6 +67,7 @@ class Cohere_LLMs implements INode {
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label: 'Temperature',
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name: 'temperature',
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type: 'number',
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step: 0.1,
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default: 0.7,
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optional: true
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},
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@@ -72,6 +75,7 @@ class Cohere_LLMs implements INode {
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label: 'Max Tokens',
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name: 'maxTokens',
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type: 'number',
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step: 1,
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optional: true
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}
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]
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@@ -5,6 +5,7 @@ import { HFInput, HuggingFaceInference } from './core'
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class HuggingFaceInference_LLMs implements INode {
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label: string
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name: string
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version: number
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type: string
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icon: string
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category: string
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@@ -16,6 +17,7 @@ class HuggingFaceInference_LLMs implements INode {
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constructor() {
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this.label = 'HuggingFace Inference'
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this.name = 'huggingFaceInference_LLMs'
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this.version = 1.0
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this.type = 'HuggingFaceInference'
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this.icon = 'huggingface.png'
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this.category = 'LLMs'
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@@ -48,6 +50,7 @@ class HuggingFaceInference_LLMs implements INode {
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label: 'Temperature',
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name: 'temperature',
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type: 'number',
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step: 0.1,
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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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@@ -56,6 +59,7 @@ class HuggingFaceInference_LLMs implements INode {
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label: 'Max Tokens',
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name: 'maxTokens',
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type: 'number',
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step: 1,
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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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@@ -64,6 +68,7 @@ class HuggingFaceInference_LLMs implements INode {
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label: 'Top Probability',
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name: 'topP',
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type: 'number',
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step: 0.1,
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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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@@ -72,6 +77,7 @@ class HuggingFaceInference_LLMs implements INode {
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label: 'Top K',
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name: 'hfTopK',
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type: 'number',
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step: 0.1,
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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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@@ -80,6 +86,7 @@ class HuggingFaceInference_LLMs implements INode {
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label: 'Frequency Penalty',
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name: 'frequencyPenalty',
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type: 'number',
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step: 0.1,
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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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@@ -108,7 +115,7 @@ class HuggingFaceInference_LLMs implements INode {
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if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
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if (topP) obj.topP = parseFloat(topP)
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if (hfTopK) obj.topK = parseFloat(hfTopK)
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if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10)
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if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
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if (endpoint) obj.endpoint = endpoint
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const huggingFace = new HuggingFaceInference(obj)
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@@ -5,6 +5,7 @@ import { OpenAI, OpenAIInput } from 'langchain/llms/openai'
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class OpenAI_LLMs implements INode {
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label: string
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name: string
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version: number
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type: string
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icon: string
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category: string
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@@ -16,6 +17,7 @@ class OpenAI_LLMs implements INode {
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constructor() {
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this.label = 'OpenAI'
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this.name = 'openAI'
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this.version = 1.0
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this.type = 'OpenAI'
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this.icon = 'openai.png'
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this.category = 'LLMs'
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@@ -57,6 +59,7 @@ class OpenAI_LLMs implements INode {
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label: 'Temperature',
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name: 'temperature',
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type: 'number',
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step: 0.1,
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default: 0.7,
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optional: true
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},
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@@ -64,6 +67,7 @@ class OpenAI_LLMs implements INode {
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label: 'Max Tokens',
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name: 'maxTokens',
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type: 'number',
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step: 1,
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optional: true,
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additionalParams: true
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},
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@@ -71,6 +75,7 @@ class OpenAI_LLMs implements INode {
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label: 'Top Probability',
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name: 'topP',
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type: 'number',
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step: 0.1,
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optional: true,
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additionalParams: true
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},
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@@ -78,6 +83,7 @@ class OpenAI_LLMs implements INode {
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label: 'Best Of',
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name: 'bestOf',
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type: 'number',
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step: 1,
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optional: true,
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additionalParams: true
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},
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@@ -85,6 +91,7 @@ class OpenAI_LLMs implements INode {
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label: 'Frequency Penalty',
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name: 'frequencyPenalty',
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type: 'number',
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step: 0.1,
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optional: true,
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additionalParams: true
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},
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@@ -92,6 +99,7 @@ class OpenAI_LLMs implements INode {
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label: 'Presence Penalty',
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name: 'presencePenalty',
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type: 'number',
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step: 0.1,
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optional: true,
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additionalParams: true
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},
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@@ -99,6 +107,7 @@ class OpenAI_LLMs implements INode {
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label: 'Batch Size',
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name: 'batchSize',
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type: 'number',
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step: 1,
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optional: true,
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additionalParams: true
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},
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@@ -106,6 +115,7 @@ class OpenAI_LLMs implements INode {
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label: 'Timeout',
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name: 'timeout',
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type: 'number',
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step: 1,
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optional: true,
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additionalParams: true
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},
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@@ -144,8 +154,8 @@ class OpenAI_LLMs implements INode {
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if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
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if (topP) obj.topP = parseFloat(topP)
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if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10)
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if (presencePenalty) obj.presencePenalty = parseInt(presencePenalty, 10)
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if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
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if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty)
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if (timeout) obj.timeout = parseInt(timeout, 10)
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if (batchSize) obj.batchSize = parseInt(batchSize, 10)
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if (bestOf) obj.bestOf = parseInt(bestOf, 10)
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@@ -5,6 +5,7 @@ import { Replicate, ReplicateInput } from 'langchain/llms/replicate'
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class Replicate_LLMs implements INode {
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label: string
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name: string
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version: number
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type: string
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icon: string
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category: string
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@@ -16,6 +17,7 @@ class Replicate_LLMs implements INode {
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constructor() {
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this.label = 'Replicate'
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this.name = 'replicate'
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this.version = 1.0
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this.type = 'Replicate'
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this.icon = 'replicate.svg'
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this.category = 'LLMs'
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@@ -39,6 +41,7 @@ class Replicate_LLMs implements INode {
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label: 'Temperature',
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name: 'temperature',
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type: 'number',
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step: 0.1,
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description:
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'Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.',
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default: 0.7,
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@@ -48,6 +51,7 @@ class Replicate_LLMs implements INode {
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label: 'Max Tokens',
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name: 'maxTokens',
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type: 'number',
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step: 1,
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description: 'Maximum number of tokens to generate. A word is generally 2-3 tokens',
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optional: true,
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additionalParams: true
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@@ -56,6 +60,7 @@ class Replicate_LLMs implements INode {
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label: 'Top Probability',
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name: 'topP',
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type: 'number',
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step: 0.1,
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description:
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'When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens',
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optional: true,
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@@ -65,6 +70,7 @@ class Replicate_LLMs implements INode {
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label: 'Repetition Penalty',
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name: 'repetitionPenalty',
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type: 'number',
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step: 0.1,
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description:
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'Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it. (minimum: 0.01; maximum: 5)',
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optional: true,
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