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Extending support for Caching to all LLM's.

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This commit is contained in:
vinodkiran
2023-09-29 08:19:44 +05:30
parent d588ac0480
commit d81869fd59
8 changed files with 83 additions and 15 deletions
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packages/components/nodes/llms/Azure OpenAI/AzureOpenAI.ts
+13 -3
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@@ -1,7 +1,8 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { AzureOpenAIInput, OpenAI, OpenAIInput } from 'langchain/llms/openai'
import { BaseCache } from 'langchain/schema'
import { BaseLLMParams } from 'langchain/llms/base'
class AzureOpenAI_LLMs implements INode {
label: string
name: string
@@ -17,7 +18,7 @@ class AzureOpenAI_LLMs implements INode {
constructor() {
this.label = 'Azure OpenAI'
this.name = 'azureOpenAI'
this.version = 1.0
this.version = 2.0
this.type = 'AzureOpenAI'
this.icon = 'Azure.svg'
this.category = 'LLMs'
@@ -30,6 +31,12 @@ class AzureOpenAI_LLMs implements INode {
credentialNames: ['azureOpenAIApi']
}
this.inputs = [
{
label: 'Cache',
name: 'llmCache',
type: 'LLMCache',
optional: true
},
{
label: 'Model Name',
name: 'modelName',
@@ -163,7 +170,9 @@ class AzureOpenAI_LLMs implements INode {
const azureOpenAIApiDeploymentName = getCredentialParam('azureOpenAIApiDeploymentName', credentialData, nodeData)
const azureOpenAIApiVersion = getCredentialParam('azureOpenAIApiVersion', credentialData, nodeData)
const obj: Partial<AzureOpenAIInput> & Partial<OpenAIInput> = {
const llmCache = nodeData.inputs?.llmCache as BaseCache
const obj: Partial<AzureOpenAIInput> & BaseLLMParams & Partial<OpenAIInput> = {
temperature: parseFloat(temperature),
modelName,
azureOpenAIApiKey,
@@ -179,6 +188,7 @@ class AzureOpenAI_LLMs implements INode {
if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty)
if (timeout) obj.timeout = parseInt(timeout, 10)
if (bestOf) obj.bestOf = parseInt(bestOf, 10)
if (llmCache) obj.cache = llmCache
const model = new OpenAI(obj)
return model
packages/components/nodes/llms/Bittensor/Bittensor.ts
+13 -2
View File
@@ -1,6 +1,8 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { NIBittensorLLM, BittensorInput } from 'langchain/experimental/llms/bittensor'
import { BaseCache } from 'langchain/schema'
import { BaseLLMParams } from 'langchain/llms/base'
class Bittensor_LLMs implements INode {
label: string
@@ -16,13 +18,19 @@ class Bittensor_LLMs implements INode {
constructor() {
this.label = 'NIBittensorLLM'
this.name = 'NIBittensorLLM'
this.version = 1.0
this.version = 2.0
this.type = 'Bittensor'
this.icon = 'logo.png'
this.category = 'LLMs'
this.description = 'Wrapper around Bittensor subnet 1 large language models'
this.baseClasses = [this.type, ...getBaseClasses(NIBittensorLLM)]
this.inputs = [
{
label: 'Cache',
name: 'llmCache',
type: 'LLMCache',
optional: true
},
{
label: 'System prompt',
name: 'system_prompt',
@@ -44,10 +52,13 @@ class Bittensor_LLMs implements INode {
async init(nodeData: INodeData, _: string): Promise<any> {
const system_prompt = nodeData.inputs?.system_prompt as string
const topResponses = Number(nodeData.inputs?.topResponses as number)
const obj: Partial<BittensorInput> = {
const llmCache = nodeData.inputs?.llmCache as BaseCache
const obj: Partial<BittensorInput> & BaseLLMParams = {
systemPrompt: system_prompt,
topResponses: topResponses
}
if (llmCache) obj.cache = llmCache
const model = new NIBittensorLLM(obj)
return model
packages/components/nodes/llms/Cohere/Cohere.ts
+10 -3
View File
@@ -1,6 +1,7 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { Cohere, CohereInput } from './core'
import { BaseCache } from 'langchain/schema'
class Cohere_LLMs implements INode {
label: string
@@ -17,7 +18,7 @@ class Cohere_LLMs implements INode {
constructor() {
this.label = 'Cohere'
this.name = 'cohere'
this.version = 1.0
this.version = 2.0
this.type = 'Cohere'
this.icon = 'cohere.png'
this.category = 'LLMs'
@@ -30,6 +31,12 @@ class Cohere_LLMs implements INode {
credentialNames: ['cohereApi']
}
this.inputs = [
{
label: 'Cache',
name: 'llmCache',
type: 'LLMCache',
optional: true
},
{
label: 'Model Name',
name: 'modelName',
@@ -85,7 +92,7 @@ class Cohere_LLMs implements INode {
const temperature = nodeData.inputs?.temperature as string
const modelName = nodeData.inputs?.modelName as string
const maxTokens = nodeData.inputs?.maxTokens as string
const llmCache = nodeData.inputs?.llmCache as BaseCache
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const cohereApiKey = getCredentialParam('cohereApiKey', credentialData, nodeData)
@@ -96,7 +103,7 @@ class Cohere_LLMs implements INode {
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (modelName) obj.model = modelName
if (temperature) obj.temperature = parseFloat(temperature)
if (llmCache) obj.cache = llmCache
const model = new Cohere(obj)
return model
}
packages/components/nodes/llms/GooglePaLM/GooglePaLM.ts
+10 -2
View File
@@ -1,7 +1,7 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { GooglePaLM, GooglePaLMTextInput } from 'langchain/llms/googlepalm'
import { BaseCache } from 'langchain/schema'
class GooglePaLM_LLMs implements INode {
label: string
name: string
@@ -17,7 +17,7 @@ class GooglePaLM_LLMs implements INode {
constructor() {
this.label = 'GooglePaLM'
this.name = 'GooglePaLM'
this.version = 1.0
this.version = 2.0
this.type = 'GooglePaLM'
this.icon = 'Google_PaLM_Logo.svg'
this.category = 'LLMs'
@@ -30,6 +30,12 @@ class GooglePaLM_LLMs implements INode {
credentialNames: ['googleMakerSuite']
}
this.inputs = [
{
label: 'Cache',
name: 'llmCache',
type: 'LLMCache',
optional: true
},
{
label: 'Model Name',
name: 'modelName',
@@ -126,6 +132,7 @@ class GooglePaLM_LLMs implements INode {
const topP = nodeData.inputs?.topP as string
const topK = nodeData.inputs?.topK as string
const stopSequencesObj = nodeData.inputs?.stopSequencesObj
const llmCache = nodeData.inputs?.llmCache as BaseCache
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const googleMakerSuiteKey = getCredentialParam('googleMakerSuiteKey', credentialData, nodeData)
@@ -139,6 +146,7 @@ class GooglePaLM_LLMs implements INode {
if (maxOutputTokens) obj.maxOutputTokens = parseInt(maxOutputTokens, 10)
if (topP) obj.topP = parseFloat(topP)
if (topK) obj.topK = parseFloat(topK)
if (llmCache) obj.cache = llmCache
let parsedStopSequences: any | undefined = undefined
if (stopSequencesObj) {
packages/components/nodes/llms/GoogleVertexAI/GoogleVertexAI.ts
+10 -1
View File
@@ -2,6 +2,7 @@ import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Inter
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { GoogleVertexAI, GoogleVertexAITextInput } from 'langchain/llms/googlevertexai'
import { GoogleAuthOptions } from 'google-auth-library'
import { BaseCache } from 'langchain/schema'
class GoogleVertexAI_LLMs implements INode {
label: string
@@ -18,7 +19,7 @@ class GoogleVertexAI_LLMs implements INode {
constructor() {
this.label = 'GoogleVertexAI'
this.name = 'googlevertexai'
this.version = 1.0
this.version = 2.0
this.type = 'GoogleVertexAI'
this.icon = 'vertexai.svg'
this.category = 'LLMs'
@@ -34,6 +35,12 @@ class GoogleVertexAI_LLMs implements INode {
'Google Vertex AI credential. If you are using a GCP service like Cloud Run, or if you have installed default credentials on your local machine, you do not need to set this credential.'
}
this.inputs = [
{
label: 'Cache',
name: 'llmCache',
type: 'LLMCache',
optional: true
},
{
label: 'Model Name',
name: 'modelName',
@@ -120,6 +127,7 @@ class GoogleVertexAI_LLMs implements INode {
const modelName = nodeData.inputs?.modelName as string
const maxOutputTokens = nodeData.inputs?.maxOutputTokens as string
const topP = nodeData.inputs?.topP as string
const llmCache = nodeData.inputs?.llmCache as BaseCache
const obj: Partial<GoogleVertexAITextInput> = {
temperature: parseFloat(temperature),
@@ -129,6 +137,7 @@ class GoogleVertexAI_LLMs implements INode {
if (maxOutputTokens) obj.maxOutputTokens = parseInt(maxOutputTokens, 10)
if (topP) obj.topP = parseFloat(topP)
if (llmCache) obj.cache = llmCache
const model = new GoogleVertexAI(obj)
return model
packages/components/nodes/llms/HuggingFaceInference/HuggingFaceInference.ts
+12 -1
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@@ -1,6 +1,7 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { HFInput, HuggingFaceInference } from './core'
import { BaseCache } from 'langchain/schema'
class HuggingFaceInference_LLMs implements INode {
label: string
@@ -17,7 +18,7 @@ class HuggingFaceInference_LLMs implements INode {
constructor() {
this.label = 'HuggingFace Inference'
this.name = 'huggingFaceInference_LLMs'
this.version = 1.0
this.version = 2.0
this.type = 'HuggingFaceInference'
this.icon = 'huggingface.png'
this.category = 'LLMs'
@@ -30,6 +31,12 @@ class HuggingFaceInference_LLMs implements INode {
credentialNames: ['huggingFaceApi']
}
this.inputs = [
{
label: 'Cache',
name: 'llmCache',
type: 'LLMCache',
optional: true
},
{
label: 'Model',
name: 'model',
@@ -106,6 +113,8 @@ class HuggingFaceInference_LLMs implements INode {
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const huggingFaceApiKey = getCredentialParam('huggingFaceApiKey', credentialData, nodeData)
const llmCache = nodeData.inputs?.llmCache as BaseCache
const obj: Partial<HFInput> = {
model,
apiKey: huggingFaceApiKey
@@ -119,6 +128,8 @@ class HuggingFaceInference_LLMs implements INode {
if (endpoint) obj.endpoint = endpoint
const huggingFace = new HuggingFaceInference(obj)
if (llmCache) huggingFace.cache = llmCache
return huggingFace
}
}
packages/components/nodes/llms/OpenAI/OpenAI.ts
+1 -1
View File
@@ -1,7 +1,7 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { OpenAI, OpenAIInput } from 'langchain/llms/openai'
import { BaseLLMParams } from 'langchain/dist/llms/base'
import { BaseLLMParams } from 'langchain/llms/base'
import { BaseCache } from 'langchain/schema'
class OpenAI_LLMs implements INode {
packages/components/nodes/llms/Replicate/Replicate.ts
+14 -2
View File
@@ -1,6 +1,8 @@
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { Replicate, ReplicateInput } from 'langchain/llms/replicate'
import { BaseCache } from 'langchain/schema'
import { BaseLLMParams } from 'langchain/llms/base'
class Replicate_LLMs implements INode {
label: string
@@ -17,7 +19,7 @@ class Replicate_LLMs implements INode {
constructor() {
this.label = 'Replicate'
this.name = 'replicate'
this.version = 1.0
this.version = 2.0
this.type = 'Replicate'
this.icon = 'replicate.svg'
this.category = 'LLMs'
@@ -30,6 +32,12 @@ class Replicate_LLMs implements INode {
credentialNames: ['replicateApi']
}
this.inputs = [
{
label: 'Cache',
name: 'llmCache',
type: 'LLMCache',
optional: true
},
{
label: 'Model',
name: 'model',
@@ -103,7 +111,9 @@ class Replicate_LLMs implements INode {
const name = modelName.split(':')[0].split('/').pop()
const org = modelName.split(':')[0].split('/')[0]
const obj: ReplicateInput = {
const llmCache = nodeData.inputs?.llmCache as BaseCache
const obj: ReplicateInput & BaseLLMParams = {
model: `${org}/${name}:${version}`,
apiKey
}
@@ -120,6 +130,8 @@ class Replicate_LLMs implements INode {
}
if (Object.keys(inputs).length) obj.input = inputs
if (llmCache) obj.cache = llmCache
const model = new Replicate(obj)
return model
}