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Chore/Add base options to azure chat openai (#3886)

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* add base options to azure chat openai

* add base options to embeddings
This commit is contained in:
Henry Heng
2025-01-20 18:29:27 +00:00
committed by GitHub
parent 9c2203be62
commit 320eab65d6
3 changed files with 65 additions and 8 deletions
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packages/components/nodes/embeddings/AzureOpenAIEmbedding/AzureOpenAIEmbedding.ts
+21 -3
View File
@@ -1,4 +1,4 @@
import { AzureOpenAIInput, OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai'
import { AzureOpenAIInput, ClientOptions, LegacyOpenAIInput, OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
@@ -23,7 +23,7 @@ class AzureOpenAIEmbedding_Embeddings implements INode {
constructor() {
this.label = 'Azure OpenAI Embeddings'
this.name = 'azureOpenAIEmbeddings'
this.version = 1.0
this.version = 2.0
this.type = 'AzureOpenAIEmbeddings'
this.icon = 'Azure.svg'
this.category = 'Embeddings'
@@ -58,6 +58,13 @@ class AzureOpenAIEmbedding_Embeddings implements INode {
type: 'string',
optional: true,
additionalParams: true
},
{
label: 'BaseOptions',
name: 'baseOptions',
type: 'json',
optional: true,
additionalParams: true
}
]
}
@@ -66,6 +73,7 @@ class AzureOpenAIEmbedding_Embeddings implements INode {
const batchSize = nodeData.inputs?.batchSize as string
const timeout = nodeData.inputs?.timeout as string
const basePath = nodeData.inputs?.basepath as string
const baseOptions = nodeData.inputs?.baseOptions
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const azureOpenAIApiKey = getCredentialParam('azureOpenAIApiKey', credentialData, nodeData)
@@ -73,7 +81,7 @@ class AzureOpenAIEmbedding_Embeddings implements INode {
const azureOpenAIApiDeploymentName = getCredentialParam('azureOpenAIApiDeploymentName', credentialData, nodeData)
const azureOpenAIApiVersion = getCredentialParam('azureOpenAIApiVersion', credentialData, nodeData)
const obj: Partial<OpenAIEmbeddingsParams> & Partial<AzureOpenAIInput> = {
const obj: Partial<OpenAIEmbeddingsParams> & Partial<AzureOpenAIInput> & { configuration?: ClientOptions & LegacyOpenAIInput } = {
azureOpenAIApiKey,
azureOpenAIApiInstanceName,
azureOpenAIApiDeploymentName,
@@ -83,6 +91,16 @@ class AzureOpenAIEmbedding_Embeddings implements INode {
if (batchSize) obj.batchSize = parseInt(batchSize, 10)
if (timeout) obj.timeout = parseInt(timeout, 10)
if (baseOptions) {
try {
const parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions)
obj.configuration = {
defaultHeaders: parsedBaseOptions
}
} catch (exception) {
console.error('Error parsing base options', exception)
}
}
const model = new OpenAIEmbeddings(obj)
return model
packages/components/nodes/embeddings/OpenAIEmbeddingCustom/OpenAIEmbeddingCustom.ts
+19 -2
View File
@@ -17,7 +17,7 @@ class OpenAIEmbeddingCustom_Embeddings implements INode {
constructor() {
this.label = 'OpenAI Embeddings Custom'
this.name = 'openAIEmbeddingsCustom'
this.version = 2.0
this.version = 3.0
this.type = 'OpenAIEmbeddingsCustom'
this.icon = 'openai.svg'
this.category = 'Embeddings'
@@ -58,6 +58,13 @@ class OpenAIEmbeddingCustom_Embeddings implements INode {
optional: true,
additionalParams: true
},
{
label: 'BaseOptions',
name: 'baseOptions',
type: 'json',
optional: true,
additionalParams: true
},
{
label: 'Model Name',
name: 'modelName',
@@ -81,6 +88,7 @@ class OpenAIEmbeddingCustom_Embeddings implements INode {
const basePath = nodeData.inputs?.basepath as string
const modelName = nodeData.inputs?.modelName as string
const dimensions = nodeData.inputs?.dimensions as string
const baseOptions = nodeData.inputs?.baseOptions
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
@@ -95,7 +103,16 @@ class OpenAIEmbeddingCustom_Embeddings implements INode {
if (modelName) obj.modelName = modelName
if (dimensions) obj.dimensions = parseInt(dimensions, 10)
const model = new OpenAIEmbeddings(obj, { basePath })
let parsedBaseOptions: any | undefined = undefined
if (baseOptions) {
try {
parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions)
} catch (exception) {
throw new Error("Invalid JSON in the ChatOpenAI's BaseOptions: " + exception)
}
}
const model = new OpenAIEmbeddings(obj, { baseURL: basePath, defaultHeaders: parsedBaseOptions })
return model
}
}