mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-28 17:01:00 +03:00
- update marketplaces
- add version to nodes and credentials - hover over node actions
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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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