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Merge pull request #92 from FlowiseAI/feature/Azure

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Feature/azure
This commit is contained in:
Henry Heng
2023-05-17 14:48:35 +01:00
committed by GitHub
parent 89c1de34f8 8805cd8e8f
commit 50cf9b833c
7 changed files with 450 additions and 1 deletions
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packages/components/nodes/chains/RetrievalQAChain/RetrievalQAChain.ts
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@@ -15,7 +15,7 @@ class RetrievalQAChain_Chains implements INode {
inputs: INodeParams[]
constructor() {
this.label = 'RetrievalQA Chain'
this.label = 'Retrieval QA Chain'
this.name = 'retrievalQAChain'
this.type = 'RetrievalQAChain'
this.icon = 'chain.svg'
packages/components/nodes/chatmodels/AzureChatOpenAI/Azure.svg
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@@ -0,0 +1,5 @@
<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-brand-azure" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
<path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
<path d="M6 7.5l-4 9.5h4l6 -15z"></path>
<path d="M22 20l-7 -15l-3 7l4 5l-8 3z"></path>
</svg>
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packages/components/nodes/chatmodels/AzureChatOpenAI/AzureChatOpenAI.ts
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@@ -0,0 +1,144 @@
import { OpenAIBaseInput } from 'langchain/dist/types/openai-types'
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { AzureOpenAIInput, ChatOpenAI } from 'langchain/chat_models/openai'
class AzureChatOpenAI_ChatModels implements INode {
label: string
name: string
type: string
icon: string
category: string
description: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Azure ChatOpenAI'
this.name = 'azureChatOpenAI'
this.type = 'AzureChatOpenAI'
this.icon = 'Azure.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around Azure OpenAI large language models that use the Chat endpoint'
this.baseClasses = [this.type, ...getBaseClasses(ChatOpenAI)]
this.inputs = [
{
label: 'Azure OpenAI Api Key',
name: 'azureOpenAIApiKey',
type: 'password'
},
{
label: 'Model Name',
name: 'modelName',
type: 'options',
options: [
{
label: 'gpt-4',
name: 'gpt-4'
},
{
label: 'gpt-4-32k',
name: 'gpt-4-32k'
},
{
label: 'gpt-35-turbo',
name: 'gpt-35-turbo'
}
],
default: 'gpt-35-turbo',
optional: true
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
default: 0.9,
optional: true
},
{
label: 'Azure OpenAI Api Instance Name',
name: 'azureOpenAIApiInstanceName',
type: 'string',
placeholder: 'YOUR-INSTANCE-NAME'
},
{
label: 'Azure OpenAI Api Deployment Name',
name: 'azureOpenAIApiDeploymentName',
type: 'string',
placeholder: 'YOUR-DEPLOYMENT-NAME'
},
{
label: 'Azure OpenAI Api Version',
name: 'azureOpenAIApiVersion',
type: 'options',
options: [
{
label: '2023-03-15-preview',
name: '2023-03-15-preview'
}
],
default: '2023-03-15-preview'
},
{
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'Frequency Penalty',
name: 'frequencyPenalty',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'Presence Penalty',
name: 'presencePenalty',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'Timeout',
name: 'timeout',
type: 'number',
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const azureOpenAIApiKey = nodeData.inputs?.azureOpenAIApiKey as string
const modelName = nodeData.inputs?.modelName as string
const temperature = nodeData.inputs?.temperature as string
const azureOpenAIApiInstanceName = nodeData.inputs?.azureOpenAIApiInstanceName as string
const azureOpenAIApiDeploymentName = nodeData.inputs?.azureOpenAIApiDeploymentName as string
const azureOpenAIApiVersion = nodeData.inputs?.azureOpenAIApiVersion as string
const maxTokens = nodeData.inputs?.maxTokens as string
const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
const presencePenalty = nodeData.inputs?.presencePenalty as string
const timeout = nodeData.inputs?.timeout as string
const obj: Partial<AzureOpenAIInput> & Partial<OpenAIBaseInput> = {
temperature: parseInt(temperature, 10),
modelName,
azureOpenAIApiKey,
azureOpenAIApiInstanceName,
azureOpenAIApiDeploymentName,
azureOpenAIApiVersion
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10)
if (presencePenalty) obj.presencePenalty = parseInt(presencePenalty, 10)
if (timeout) obj.timeout = parseInt(timeout, 10)
const model = new ChatOpenAI(obj)
return model
}
}
module.exports = { nodeClass: AzureChatOpenAI_ChatModels }
packages/components/nodes/embeddings/AzureOpenAIEmbedding/Azure.svg
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<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-brand-azure" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
<path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
<path d="M6 7.5l-4 9.5h4l6 -15z"></path>
<path d="M22 20l-7 -15l-3 7l4 5l-8 3z"></path>
</svg>
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packages/components/nodes/embeddings/AzureOpenAIEmbedding/AzureOpenAIEmbedding.ts
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@@ -0,0 +1,89 @@
import { AzureOpenAIInput } from 'langchain/chat_models/openai'
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from 'langchain/embeddings/openai'
class AzureOpenAIEmbedding_Embeddings implements INode {
label: string
name: string
type: string
icon: string
category: string
description: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Azure OpenAI Embeddings'
this.name = 'azureOpenAIEmbeddings'
this.type = 'AzureOpenAIEmbeddings'
this.icon = 'Azure.svg'
this.category = 'Embeddings'
this.description = 'Azure OpenAI API to generate embeddings for a given text'
this.baseClasses = [this.type, ...getBaseClasses(OpenAIEmbeddings)]
this.inputs = [
{
label: 'Azure OpenAI Api Key',
name: 'azureOpenAIApiKey',
type: 'password'
},
{
label: 'Azure OpenAI Api Instance Name',
name: 'azureOpenAIApiInstanceName',
type: 'string',
placeholder: 'YOUR-INSTANCE-NAME'
},
{
label: 'Azure OpenAI Api Deployment Name',
name: 'azureOpenAIApiDeploymentName',
type: 'string',
placeholder: 'YOUR-DEPLOYMENT-NAME'
},
{
label: 'Azure OpenAI Api Version',
name: 'azureOpenAIApiVersion',
type: 'options',
options: [
{
label: '2023-03-15-preview',
name: '2023-03-15-preview'
},
{
label: '2022-12-01',
name: '2022-12-01'
}
],
default: '2023-03-15-preview'
},
{
label: 'Timeout',
name: 'timeout',
type: 'number',
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const azureOpenAIApiKey = nodeData.inputs?.azureOpenAIApiKey as string
const azureOpenAIApiInstanceName = nodeData.inputs?.azureOpenAIApiInstanceName as string
const azureOpenAIApiDeploymentName = nodeData.inputs?.azureOpenAIApiDeploymentName as string
const azureOpenAIApiVersion = nodeData.inputs?.azureOpenAIApiVersion as string
const timeout = nodeData.inputs?.timeout as string
const obj: Partial<OpenAIEmbeddingsParams> & Partial<AzureOpenAIInput> = {
azureOpenAIApiKey,
azureOpenAIApiInstanceName,
azureOpenAIApiDeploymentName,
azureOpenAIApiVersion
}
if (timeout) obj.timeout = parseInt(timeout, 10)
const model = new OpenAIEmbeddings(obj)
return model
}
}
module.exports = { nodeClass: AzureOpenAIEmbedding_Embeddings }
packages/components/nodes/llms/Azure OpenAI/Azure.svg
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@@ -0,0 +1,5 @@
<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-brand-azure" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
<path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
<path d="M6 7.5l-4 9.5h4l6 -15z"></path>
<path d="M22 20l-7 -15l-3 7l4 5l-8 3z"></path>
</svg>
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packages/components/nodes/llms/Azure OpenAI/AzureOpenAI.ts
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@@ -0,0 +1,201 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { AzureOpenAIInput, OpenAI, OpenAIInput } from 'langchain/llms/openai'
class AzureOpenAI_LLMs implements INode {
label: string
name: string
type: string
icon: string
category: string
description: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Azure OpenAI'
this.name = 'azureOpenAI'
this.type = 'AzureOpenAI'
this.icon = 'Azure.svg'
this.category = 'LLMs'
this.description = 'Wrapper around Azure OpenAI large language models'
this.baseClasses = [this.type, ...getBaseClasses(OpenAI)]
this.inputs = [
{
label: 'Azure OpenAI Api Key',
name: 'azureOpenAIApiKey',
type: 'password'
},
{
label: 'Model Name',
name: 'modelName',
type: 'options',
options: [
{
label: 'text-davinci-003',
name: 'text-davinci-003'
},
{
label: 'ada',
name: 'ada'
},
{
label: 'text-ada-001',
name: 'text-ada-001'
},
{
label: 'babbage',
name: 'babbage'
},
{
label: 'text-babbage-001',
name: 'text-babbage-001'
},
{
label: 'curie',
name: 'curie'
},
{
label: 'text-curie-001',
name: 'text-curie-001'
},
{
label: 'davinci',
name: 'davinci'
},
{
label: 'text-davinci-001',
name: 'text-davinci-001'
},
{
label: 'text-davinci-002',
name: 'text-davinci-002'
},
{
label: 'text-davinci-fine-tune-002',
name: 'text-davinci-fine-tune-002'
},
{
label: 'gpt-35-turbo',
name: 'gpt-35-turbo'
}
],
default: 'text-davinci-003',
optional: true
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
default: 0.9,
optional: true
},
{
label: 'Azure OpenAI Api Instance Name',
name: 'azureOpenAIApiInstanceName',
type: 'string',
placeholder: 'YOUR-INSTANCE-NAME'
},
{
label: 'Azure OpenAI Api Deployment Name',
name: 'azureOpenAIApiDeploymentName',
type: 'string',
placeholder: 'YOUR-DEPLOYMENT-NAME'
},
{
label: 'Azure OpenAI Api Version',
name: 'azureOpenAIApiVersion',
type: 'options',
options: [
{
label: '2023-03-15-preview',
name: '2023-03-15-preview'
},
{
label: '2022-12-01',
name: '2022-12-01'
}
],
default: '2023-03-15-preview'
},
{
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'Top Probability',
name: 'topP',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'Best Of',
name: 'bestOf',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'Frequency Penalty',
name: 'frequencyPenalty',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'Presence Penalty',
name: 'presencePenalty',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'Timeout',
name: 'timeout',
type: 'number',
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const azureOpenAIApiKey = nodeData.inputs?.azureOpenAIApiKey as string
const temperature = nodeData.inputs?.temperature as string
const modelName = nodeData.inputs?.modelName as string
const azureOpenAIApiInstanceName = nodeData.inputs?.azureOpenAIApiInstanceName as string
const azureOpenAIApiDeploymentName = nodeData.inputs?.azureOpenAIApiDeploymentName as string
const azureOpenAIApiVersion = nodeData.inputs?.azureOpenAIApiVersion as string
const maxTokens = nodeData.inputs?.maxTokens as string
const topP = nodeData.inputs?.topP as string
const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
const presencePenalty = nodeData.inputs?.presencePenalty as string
const timeout = nodeData.inputs?.timeout as string
const bestOf = nodeData.inputs?.bestOf as string
const obj: Partial<AzureOpenAIInput> & Partial<OpenAIInput> = {
temperature: parseInt(temperature, 10),
modelName,
azureOpenAIApiKey,
azureOpenAIApiInstanceName,
azureOpenAIApiDeploymentName,
azureOpenAIApiVersion
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (topP) obj.topP = parseInt(topP, 10)
if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10)
if (presencePenalty) obj.presencePenalty = parseInt(presencePenalty, 10)
if (timeout) obj.timeout = parseInt(timeout, 10)
if (bestOf) obj.bestOf = parseInt(bestOf, 10)
const model = new OpenAI(obj)
return model
}
}
module.exports = { nodeClass: AzureOpenAI_LLMs }