Merge branch 'main' into feature/RAG-VectorStores-Updates

This commit is contained in:
Henry
2024-01-17 00:53:26 +00:00
7 changed files with 117 additions and 10 deletions
@@ -1,7 +1,9 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { convertMultiOptionsToStringArray, getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { BaseCache } from 'langchain/schema'
import { ChatGoogleGenerativeAI } from '@langchain/google-genai'
import { ChatGoogleGenerativeAI, GoogleGenerativeAIChatInput } from '@langchain/google-genai'
import { HarmBlockThreshold, HarmCategory } from '@google/generative-ai'
import type { SafetySetting } from '@google/generative-ai'
class GoogleGenerativeAI_ChatModels implements INode {
label: string
@@ -74,6 +76,73 @@ class GoogleGenerativeAI_ChatModels implements INode {
step: 0.1,
optional: true,
additionalParams: true
},
{
label: 'Top Next Highest Probability Tokens',
name: 'topK',
type: 'number',
description: `Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive`,
step: 1,
optional: true,
additionalParams: true
},
{
label: 'Harm Category',
name: 'harmCategory',
type: 'multiOptions',
description:
'Refer to <a target="_blank" href="https://cloud.google.com/vertex-ai/docs/generative-ai/multimodal/configure-safety-attributes#safety_attribute_definitions">official guide</a> on how to use Harm Category',
options: [
{
label: 'Dangerous',
name: HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT
},
{
label: 'Harassment',
name: HarmCategory.HARM_CATEGORY_HARASSMENT
},
{
label: 'Hate Speech',
name: HarmCategory.HARM_CATEGORY_HATE_SPEECH
},
{
label: 'Sexually Explicit',
name: HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT
}
],
optional: true,
additionalParams: true
},
{
label: 'Harm Block Threshold',
name: 'harmBlockThreshold',
type: 'multiOptions',
description:
'Refer to <a target="_blank" href="https://cloud.google.com/vertex-ai/docs/generative-ai/multimodal/configure-safety-attributes#safety_setting_thresholds">official guide</a> on how to use Harm Block Threshold',
options: [
{
label: 'Low and Above',
name: HarmBlockThreshold.BLOCK_LOW_AND_ABOVE
},
{
label: 'Medium and Above',
name: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE
},
{
label: 'None',
name: HarmBlockThreshold.BLOCK_NONE
},
{
label: 'Only High',
name: HarmBlockThreshold.BLOCK_ONLY_HIGH
},
{
label: 'Threshold Unspecified',
name: HarmBlockThreshold.HARM_BLOCK_THRESHOLD_UNSPECIFIED
}
],
optional: true,
additionalParams: true
}
]
}
@@ -86,9 +155,12 @@ class GoogleGenerativeAI_ChatModels implements INode {
const modelName = nodeData.inputs?.modelName as string
const maxOutputTokens = nodeData.inputs?.maxOutputTokens as string
const topP = nodeData.inputs?.topP as string
const topK = nodeData.inputs?.topK as string
const harmCategory = nodeData.inputs?.harmCategory as string
const harmBlockThreshold = nodeData.inputs?.harmBlockThreshold as string
const cache = nodeData.inputs?.cache as BaseCache
const obj = {
const obj: Partial<GoogleGenerativeAIChatInput> = {
apiKey: apiKey,
modelName: modelName,
maxOutputTokens: 2048
@@ -98,8 +170,23 @@ class GoogleGenerativeAI_ChatModels implements INode {
const model = new ChatGoogleGenerativeAI(obj)
if (topP) model.topP = parseFloat(topP)
if (topK) model.topK = parseFloat(topK)
if (cache) model.cache = cache
if (temperature) model.temperature = parseFloat(temperature)
// Safety Settings
let harmCategories: string[] = convertMultiOptionsToStringArray(harmCategory)
let harmBlockThresholds: string[] = convertMultiOptionsToStringArray(harmBlockThreshold)
if (harmCategories.length != harmBlockThresholds.length)
throw new Error(`Harm Category & Harm Block Threshold are not the same length`)
const safetySettings: SafetySetting[] = harmCategories.map((harmCategory, index) => {
return {
category: harmCategory as HarmCategory,
threshold: harmBlockThresholds[index] as HarmBlockThreshold
}
})
if (safetySettings.length > 0) model.safetySettings = safetySettings
return model
}
}
@@ -73,7 +73,11 @@ class CustomFunction_Utilities implements INode {
if (Object.keys(inputVars).length) {
for (const item in inputVars) {
sandbox[`$${item}`] = inputVars[item]
let value = inputVars[item]
if (typeof value === 'string') {
value = handleEscapeCharacters(value, true)
}
sandbox[`$${item}`] = value
}
}