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Merge branch 'main' into chore/Upgrade-LC-version

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# Conflicts:
#	packages/components/package.json
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Henry
2024-02-07 02:01:32 +08:00
parent 02fe500f21 188e2c748c
commit 73112ad122
54 changed files with 5331 additions and 139 deletions
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packages/components/nodes/chatmodels/AzureChatOpenAI/AzureChatOpenAI_LlamaIndex.ts
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import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { OpenAI, ALL_AVAILABLE_OPENAI_MODELS } from 'llamaindex'
interface AzureOpenAIConfig {
apiKey?: string
endpoint?: string
apiVersion?: string
deploymentName?: string
}
class AzureChatOpenAI_LlamaIndex_ChatModels implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
tags: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'AzureChatOpenAI'
this.name = 'azureChatOpenAI_LlamaIndex'
this.version = 1.0
this.type = 'AzureChatOpenAI'
this.icon = 'Azure.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around Azure OpenAI Chat LLM specific for LlamaIndex'
this.baseClasses = [this.type, 'BaseChatModel_LlamaIndex', ...getBaseClasses(OpenAI)]
this.tags = ['LlamaIndex']
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['azureOpenAIApi']
}
this.inputs = [
{
label: 'Model Name',
name: 'modelName',
type: 'options',
options: [
{
label: 'gpt-4',
name: 'gpt-4'
},
{
label: 'gpt-4-32k',
name: 'gpt-4-32k'
},
{
label: 'gpt-3.5-turbo',
name: 'gpt-3.5-turbo'
},
{
label: 'gpt-3.5-turbo-16k',
name: 'gpt-3.5-turbo-16k'
}
],
default: 'gpt-3.5-turbo-16k',
optional: true
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
{
label: 'Top Probability',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
{
label: 'Timeout',
name: 'timeout',
type: 'number',
step: 1,
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const modelName = nodeData.inputs?.modelName as keyof typeof ALL_AVAILABLE_OPENAI_MODELS
const temperature = nodeData.inputs?.temperature as string
const maxTokens = nodeData.inputs?.maxTokens as string
const topP = nodeData.inputs?.topP as string
const timeout = nodeData.inputs?.timeout as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const azureOpenAIApiKey = getCredentialParam('azureOpenAIApiKey', credentialData, nodeData)
const azureOpenAIApiInstanceName = getCredentialParam('azureOpenAIApiInstanceName', credentialData, nodeData)
const azureOpenAIApiDeploymentName = getCredentialParam('azureOpenAIApiDeploymentName', credentialData, nodeData)
const azureOpenAIApiVersion = getCredentialParam('azureOpenAIApiVersion', credentialData, nodeData)
const obj: Partial<OpenAI> & { azure?: AzureOpenAIConfig } = {
temperature: parseFloat(temperature),
model: modelName,
azure: {
apiKey: azureOpenAIApiKey,
endpoint: `https://${azureOpenAIApiInstanceName}.openai.azure.com`,
apiVersion: azureOpenAIApiVersion,
deploymentName: azureOpenAIApiDeploymentName
}
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (topP) obj.topP = parseFloat(topP)
if (timeout) obj.timeout = parseInt(timeout, 10)
const model = new OpenAI(obj)
return model
}
}
module.exports = { nodeClass: AzureChatOpenAI_LlamaIndex_ChatModels }
packages/components/nodes/chatmodels/ChatAnthropic/ChatAnthropic_LlamaIndex.ts
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import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { Anthropic } from 'llamaindex'
class ChatAnthropic_LlamaIndex_ChatModels implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
tags: string[]
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'ChatAnthropic'
this.name = 'chatAnthropic_LlamaIndex'
this.version = 1.0
this.type = 'ChatAnthropic'
this.icon = 'Anthropic.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around ChatAnthropic LLM specific for LlamaIndex'
this.baseClasses = [this.type, 'BaseChatModel_LlamaIndex', ...getBaseClasses(Anthropic)]
this.tags = ['LlamaIndex']
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['anthropicApi']
}
this.inputs = [
{
label: 'Model Name',
name: 'modelName',
type: 'options',
options: [
{
label: 'claude-2',
name: 'claude-2',
description: 'Claude 2 latest major version, automatically get updates to the model as they are released'
},
{
label: 'claude-instant-1',
name: 'claude-instant-1',
description: 'Claude Instant latest major version, automatically get updates to the model as they are released'
}
],
default: 'claude-2',
optional: true
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Max Tokens',
name: 'maxTokensToSample',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
{
label: 'Top P',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const temperature = nodeData.inputs?.temperature as string
const modelName = nodeData.inputs?.modelName as 'claude-2' | 'claude-instant-1' | undefined
const maxTokensToSample = nodeData.inputs?.maxTokensToSample as string
const topP = nodeData.inputs?.topP as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const anthropicApiKey = getCredentialParam('anthropicApiKey', credentialData, nodeData)
const obj: Partial<Anthropic> = {
temperature: parseFloat(temperature),
model: modelName,
apiKey: anthropicApiKey
}
if (maxTokensToSample) obj.maxTokens = parseInt(maxTokensToSample, 10)
if (topP) obj.topP = parseFloat(topP)
const model = new Anthropic(obj)
return model
}
}
module.exports = { nodeClass: ChatAnthropic_LlamaIndex_ChatModels }
packages/components/nodes/chatmodels/ChatOpenAI/ChatOpenAI.ts
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@@ -79,6 +79,10 @@ class ChatOpenAI_ChatModels implements INode {
label: 'gpt-3.5-turbo',
name: 'gpt-3.5-turbo'
},
{
label: 'gpt-3.5-turbo-0125',
name: 'gpt-3.5-turbo-0125'
},
{
label: 'gpt-3.5-turbo-1106',
name: 'gpt-3.5-turbo-1106'
packages/components/nodes/chatmodels/ChatOpenAI/ChatOpenAI_LlamaIndex.ts
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import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { OpenAI, ALL_AVAILABLE_OPENAI_MODELS } from 'llamaindex'
class ChatOpenAI_LlamaIndex_LLMs implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
baseClasses: string[]
tags: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'ChatOpenAI'
this.name = 'chatOpenAI_LlamaIndex'
this.version = 1.0
this.type = 'ChatOpenAI'
this.icon = 'openai.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around OpenAI Chat LLM specific for LlamaIndex'
this.baseClasses = [this.type, 'BaseChatModel_LlamaIndex', ...getBaseClasses(OpenAI)]
this.tags = ['LlamaIndex']
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['openAIApi']
}
this.inputs = [
{
label: 'Model Name',
name: 'modelName',
type: 'options',
options: [
{
label: 'gpt-4',
name: 'gpt-4'
},
{
label: 'gpt-4-turbo-preview',
name: 'gpt-4-turbo-preview'
},
{
label: 'gpt-4-0125-preview',
name: 'gpt-4-0125-preview'
},
{
label: 'gpt-4-1106-preview',
name: 'gpt-4-1106-preview'
},
{
label: 'gpt-4-vision-preview',
name: 'gpt-4-vision-preview'
},
{
label: 'gpt-4-0613',
name: 'gpt-4-0613'
},
{
label: 'gpt-4-32k',
name: 'gpt-4-32k'
},
{
label: 'gpt-4-32k-0613',
name: 'gpt-4-32k-0613'
},
{
label: 'gpt-3.5-turbo',
name: 'gpt-3.5-turbo'
},
{
label: 'gpt-3.5-turbo-1106',
name: 'gpt-3.5-turbo-1106'
},
{
label: 'gpt-3.5-turbo-0613',
name: 'gpt-3.5-turbo-0613'
},
{
label: 'gpt-3.5-turbo-16k',
name: 'gpt-3.5-turbo-16k'
},
{
label: 'gpt-3.5-turbo-16k-0613',
name: 'gpt-3.5-turbo-16k-0613'
}
],
default: 'gpt-3.5-turbo',
optional: true
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
{
label: 'Top Probability',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
{
label: 'Timeout',
name: 'timeout',
type: 'number',
step: 1,
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const temperature = nodeData.inputs?.temperature as string
const modelName = nodeData.inputs?.modelName as keyof typeof ALL_AVAILABLE_OPENAI_MODELS
const maxTokens = nodeData.inputs?.maxTokens as string
const topP = nodeData.inputs?.topP as string
const timeout = nodeData.inputs?.timeout as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
const obj: Partial<OpenAI> = {
temperature: parseFloat(temperature),
model: modelName,
apiKey: openAIApiKey
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (topP) obj.topP = parseFloat(topP)
if (timeout) obj.timeout = parseInt(timeout, 10)
const model = new OpenAI(obj)
return model
}
}
module.exports = { nodeClass: ChatOpenAI_LlamaIndex_LLMs }