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Merge branch 'main' into chore/Models-Update

This commit is contained in:
Henry 2024-06-21 14:19:08 +01:00
parent 07fef8cb78 d4f80394d3
commit 3185d652fe
18 changed files with 321 additions and 102 deletions
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2
package.json
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@ -65,6 +65,6 @@
"resolutions": { "resolutions": {
"@qdrant/openapi-typescript-fetch": "1.2.1", "@qdrant/openapi-typescript-fetch": "1.2.1",
"@google/generative-ai": "^0.7.0", "@google/generative-ai": "^0.7.0",
"openai": "4.38.3" "openai": "4.51.0"
} }
} }

48
packages/components/nodes/agents/OpenAIAssistant/OpenAIAssistant.ts
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@ -27,7 +27,7 @@ class OpenAIAssistant_Agents implements INode {
constructor() { constructor() {
this.label = 'OpenAI Assistant' this.label = 'OpenAI Assistant'
this.name = 'openAIAssistant' this.name = 'openAIAssistant'
this.version = 3.0 this.version = 4.0
this.type = 'OpenAIAssistant' this.type = 'OpenAIAssistant'
this.category = 'Agents' this.category = 'Agents'
this.icon = 'assistant.svg' this.icon = 'assistant.svg'
@ -54,6 +54,25 @@ class OpenAIAssistant_Agents implements INode {
optional: true, optional: true,
list: true list: true
}, },
{
label: 'Tool Choice',
name: 'toolChoice',
type: 'string',
description:
'Controls which (if any) tool is called by the model. Can be "none", "auto", "required", or the name of a tool. Refer <a href="https://platform.openai.com/docs/api-reference/runs/createRun#runs-createrun-tool_choice" target="_blank">here</a> for more information',
placeholder: 'file_search',
optional: true,
additionalParams: true
},
{
label: 'Parallel Tool Calls',
name: 'parallelToolCalls',
type: 'boolean',
description: 'Whether to enable parallel function calling during tool use. Defaults to true',
default: true,
optional: true,
additionalParams: true
},
{ {
label: 'Disable File Download', label: 'Disable File Download',
name: 'disableFileDownload', name: 'disableFileDownload',
@ -155,6 +174,8 @@ class OpenAIAssistant_Agents implements INode {
const databaseEntities = options.databaseEntities as IDatabaseEntity const databaseEntities = options.databaseEntities as IDatabaseEntity
const disableFileDownload = nodeData.inputs?.disableFileDownload as boolean const disableFileDownload = nodeData.inputs?.disableFileDownload as boolean
const moderations = nodeData.inputs?.inputModeration as Moderation[] const moderations = nodeData.inputs?.inputModeration as Moderation[]
const _toolChoice = nodeData.inputs?.toolChoice as string
const parallelToolCalls = nodeData.inputs?.parallelToolCalls as boolean
const isStreaming = options.socketIO && options.socketIOClientId const isStreaming = options.socketIO && options.socketIOClientId
const socketIO = isStreaming ? options.socketIO : undefined const socketIO = isStreaming ? options.socketIO : undefined
const socketIOClientId = isStreaming ? options.socketIOClientId : '' const socketIOClientId = isStreaming ? options.socketIOClientId : ''
@ -273,10 +294,25 @@ class OpenAIAssistant_Agents implements INode {
let runThreadId = '' let runThreadId = ''
let isStreamingStarted = false let isStreamingStarted = false
let toolChoice: any
if (_toolChoice) {
if (_toolChoice === 'file_search') {
toolChoice = { type: 'file_search' }
} else if (_toolChoice === 'code_interpreter') {
toolChoice = { type: 'code_interpreter' }
} else if (_toolChoice === 'none' || _toolChoice === 'auto' || _toolChoice === 'required') {
toolChoice = _toolChoice
} else {
toolChoice = { type: 'function', function: { name: _toolChoice } }
}
}
if (isStreaming) { if (isStreaming) {
const streamThread = await openai.beta.threads.runs.create(threadId, { const streamThread = await openai.beta.threads.runs.create(threadId, {
assistant_id: retrievedAssistant.id, assistant_id: retrievedAssistant.id,
stream: true stream: true,
tool_choice: toolChoice,
parallel_tool_calls: parallelToolCalls
}) })
for await (const event of streamThread) { for await (const event of streamThread) {
@ -599,7 +635,9 @@ class OpenAIAssistant_Agents implements INode {
// Polling run status // Polling run status
const runThread = await openai.beta.threads.runs.create(threadId, { const runThread = await openai.beta.threads.runs.create(threadId, {
assistant_id: retrievedAssistant.id assistant_id: retrievedAssistant.id,
tool_choice: toolChoice,
parallel_tool_calls: parallelToolCalls
}) })
runThreadId = runThread.id runThreadId = runThread.id
let state = await promise(threadId, runThread.id) let state = await promise(threadId, runThread.id)
@ -612,7 +650,9 @@ class OpenAIAssistant_Agents implements INode {
if (retries > 0) { if (retries > 0) {
retries -= 1 retries -= 1
const newRunThread = await openai.beta.threads.runs.create(threadId, { const newRunThread = await openai.beta.threads.runs.create(threadId, {
assistant_id: retrievedAssistant.id assistant_id: retrievedAssistant.id,
tool_choice: toolChoice,
parallel_tool_calls: parallelToolCalls
}) })
runThreadId = newRunThread.id runThreadId = newRunThread.id
state = await promise(threadId, newRunThread.id) state = await promise(threadId, newRunThread.id)

11
packages/components/nodes/documentloaders/Unstructured/UnstructuredFile.ts
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@ -448,7 +448,16 @@ class UnstructuredFile_DocumentLoaders implements INode {
if (_omitMetadataKeys) { if (_omitMetadataKeys) {
omitMetadataKeys = _omitMetadataKeys.split(',').map((key) => key.trim()) omitMetadataKeys = _omitMetadataKeys.split(',').map((key) => key.trim())
} }
const fileBase64 = nodeData.inputs?.fileObject as string // give priority to upload with upsert then to fileObject (upload from UI component)
const fileBase64 =
nodeData.inputs?.pdfFile ||
nodeData.inputs?.txtFile ||
nodeData.inputs?.yamlFile ||
nodeData.inputs?.docxFile ||
nodeData.inputs?.jsonlinesFile ||
nodeData.inputs?.csvFile ||
nodeData.inputs?.jsonFile ||
(nodeData.inputs?.fileObject as string)
const obj: UnstructuredLoaderOptions = { const obj: UnstructuredLoaderOptions = {
apiUrl: unstructuredAPIUrl, apiUrl: unstructuredAPIUrl,

83
packages/components/nodes/retrievers/MultiQueryRetriever/MultiQueryRetriever.ts Normal file
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@ -0,0 +1,83 @@
import { PromptTemplate } from '@langchain/core/prompts'
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { MultiQueryRetriever } from 'langchain/retrievers/multi_query'
const defaultPrompt = `You are an AI language model assistant. Your task is
to generate 3 different versions of the given user
question to retrieve relevant documents from a vector database.
By generating multiple perspectives on the user question,
your goal is to help the user overcome some of the limitations
of distance-based similarity search.
Provide these alternative questions separated by newlines between XML tags. For example:
<questions>
Question 1
Question 2
Question 3
</questions>
Original question: {question}`
class MultiQueryRetriever_Retrievers implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Multi Query Retriever'
this.name = 'multiQueryRetriever'
this.version = 1.0
this.type = 'MultiQueryRetriever'
this.icon = 'multiQueryRetriever.svg'
this.category = 'Retrievers'
this.description = 'Generate multiple queries from different perspectives for a given user input query'
this.baseClasses = [this.type, 'BaseRetriever']
this.inputs = [
{
label: 'Vector Store',
name: 'vectorStore',
type: 'VectorStore'
},
{
label: 'Language Model',
name: 'model',
type: 'BaseLanguageModel'
},
{
label: 'Prompt',
name: 'modelPrompt',
description:
'Prompt for the language model to generate alternative questions. Use {question} to refer to the original question',
type: 'string',
rows: 4,
default: defaultPrompt
}
]
}
async init(nodeData: INodeData, input: string): Promise<any> {
const model = nodeData.inputs?.model
const vectorStore = nodeData.inputs?.vectorStore
let prompt = nodeData.inputs?.modelPrompt || (defaultPrompt as string)
prompt = prompt.replaceAll('{question}', input)
const retriever = MultiQueryRetriever.fromLLM({
llm: model,
retriever: vectorStore.asRetriever(),
verbose: process.env.DEBUG === 'true',
// @ts-ignore
prompt: PromptTemplate.fromTemplate(prompt)
})
return retriever
}
}
module.exports = { nodeClass: MultiQueryRetriever_Retrievers }

1
packages/components/nodes/retrievers/MultiQueryRetriever/multiQueryRetriever.svg Normal file
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@ -0,0 +1 @@
<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="icon icon-tabler icons-tabler-outline icon-tabler-relation-one-to-many"><path stroke="none" d="M0 0h24v24H0z" fill="none"/><path d="M3 5m0 2a2 2 0 0 1 2 -2h14a2 2 0 0 1 2 2v10a2 2 0 0 1 -2 2h-14a2 2 0 0 1 -2 -2z" /><path d="M7 10h1v4" /><path d="M14 14v-4l3 4v-4" /><path d="M11 10.5l0 .01" /><path d="M11 13.5l0 .01" /></svg>
Side by Side

After

Width:  |  Height:  |  Size: 524 B

26
packages/components/nodes/tools/ChatflowTool/ChatflowTool.ts
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@ -6,6 +6,7 @@ import { CallbackManagerForToolRun, Callbacks, CallbackManager, parseCallbackCon
import { StructuredTool } from '@langchain/core/tools' import { StructuredTool } from '@langchain/core/tools'
import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface' import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
import { availableDependencies, defaultAllowBuiltInDep, getCredentialData, getCredentialParam } from '../../../src/utils' import { availableDependencies, defaultAllowBuiltInDep, getCredentialData, getCredentialParam } from '../../../src/utils'
import { v4 as uuidv4 } from 'uuid'
class ChatflowTool_Tools implements INode { class ChatflowTool_Tools implements INode {
label: string label: string
@ -22,7 +23,7 @@ class ChatflowTool_Tools implements INode {
constructor() { constructor() {
this.label = 'Chatflow Tool' this.label = 'Chatflow Tool'
this.name = 'ChatflowTool' this.name = 'ChatflowTool'
this.version = 2.0 this.version = 3.0
this.type = 'ChatflowTool' this.type = 'ChatflowTool'
this.icon = 'chatflowTool.svg' this.icon = 'chatflowTool.svg'
this.category = 'Tools' this.category = 'Tools'
@ -66,6 +67,16 @@ class ChatflowTool_Tools implements INode {
optional: true, optional: true,
additionalParams: true additionalParams: true
}, },
{
label: 'Start new session per message',
name: 'startNewSession',
type: 'boolean',
description:
'Whether to continue the session with the Chatflow tool or start a new one with each interaction. Useful for Chatflows with memory if you want to avoid it.',
default: false,
optional: true,
additionalParams: true
},
{ {
label: 'Use Question from Chat', label: 'Use Question from Chat',
name: 'useQuestionFromChat', name: 'useQuestionFromChat',
@ -117,6 +128,8 @@ class ChatflowTool_Tools implements INode {
const useQuestionFromChat = nodeData.inputs?.useQuestionFromChat as boolean const useQuestionFromChat = nodeData.inputs?.useQuestionFromChat as boolean
const customInput = nodeData.inputs?.customInput as string const customInput = nodeData.inputs?.customInput as string
const startNewSession = nodeData.inputs?.startNewSession as boolean
const baseURL = (nodeData.inputs?.baseURL as string) || (options.baseURL as string) const baseURL = (nodeData.inputs?.baseURL as string) || (options.baseURL as string)
const credentialData = await getCredentialData(nodeData.credential ?? '', options) const credentialData = await getCredentialData(nodeData.credential ?? '', options)
@ -136,7 +149,7 @@ class ChatflowTool_Tools implements INode {
let name = _name || 'chatflow_tool' let name = _name || 'chatflow_tool'
return new ChatflowTool({ name, baseURL, description, chatflowid: selectedChatflowId, headers, input: toolInput }) return new ChatflowTool({ name, baseURL, description, chatflowid: selectedChatflowId, startNewSession, headers, input: toolInput })
} }
} }
@ -153,6 +166,8 @@ class ChatflowTool extends StructuredTool {
chatflowid = '' chatflowid = ''
startNewSession = false
baseURL = 'http://localhost:3000' baseURL = 'http://localhost:3000'
headers = {} headers = {}
@ -166,6 +181,7 @@ class ChatflowTool extends StructuredTool {
description, description,
input, input,
chatflowid, chatflowid,
startNewSession,
baseURL, baseURL,
headers headers
}: { }: {
@ -173,6 +189,7 @@ class ChatflowTool extends StructuredTool {
description: string description: string
input: string input: string
chatflowid: string chatflowid: string
startNewSession: boolean
baseURL: string baseURL: string
headers: ICommonObject headers: ICommonObject
}) { }) {
@ -181,6 +198,7 @@ class ChatflowTool extends StructuredTool {
this.description = description this.description = description
this.input = input this.input = input
this.baseURL = baseURL this.baseURL = baseURL
this.startNewSession = startNewSession
this.headers = headers this.headers = headers
this.chatflowid = chatflowid this.chatflowid = chatflowid
} }
@ -240,9 +258,9 @@ class ChatflowTool extends StructuredTool {
const body = { const body = {
question: inputQuestion, question: inputQuestion,
chatId: flowConfig?.chatId, chatId: this.startNewSession ? uuidv4() : flowConfig?.chatId,
overrideConfig: { overrideConfig: {
sessionId: flowConfig?.sessionId sessionId: this.startNewSession ? uuidv4() : flowConfig?.sessionId
} }
} }

2
packages/components/nodes/tools/RetrieverTool/RetrieverTool.ts
View File

@ -76,7 +76,7 @@ class Retriever_Tools implements INode {
} }
const schema = z.object({ const schema = z.object({
input: z.string().describe('query to look up in retriever') input: z.string().describe('input to look up in retriever')
}) })
const tool = new DynamicStructuredTool({ ...input, func, schema }) const tool = new DynamicStructuredTool({ ...input, func, schema })

50
packages/components/nodes/vectorstores/Pinecone/Pinecone.ts
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@ -1,5 +1,5 @@
import { flatten } from 'lodash' import { flatten, isEqual } from 'lodash'
import { Pinecone } from '@pinecone-database/pinecone' import { Pinecone, PineconeConfiguration } from '@pinecone-database/pinecone'
import { PineconeStoreParams, PineconeStore } from '@langchain/pinecone' import { PineconeStoreParams, PineconeStore } from '@langchain/pinecone'
import { Embeddings } from '@langchain/core/embeddings' import { Embeddings } from '@langchain/core/embeddings'
import { Document } from '@langchain/core/documents' import { Document } from '@langchain/core/documents'
@ -8,6 +8,23 @@ import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../
import { addMMRInputParams, resolveVectorStoreOrRetriever } from '../VectorStoreUtils' import { addMMRInputParams, resolveVectorStoreOrRetriever } from '../VectorStoreUtils'
import { index } from '../../../src/indexing' import { index } from '../../../src/indexing'
let pineconeClientSingleton: Pinecone
let pineconeClientOption: PineconeConfiguration
const getPineconeClient = (option: PineconeConfiguration) => {
if (!pineconeClientSingleton) {
// if client doesn't exists
pineconeClientSingleton = new Pinecone(option)
pineconeClientOption = option
return pineconeClientSingleton
} else if (pineconeClientSingleton && !isEqual(option, pineconeClientOption)) {
// if client exists but option changed
pineconeClientSingleton = new Pinecone(option)
return pineconeClientSingleton
}
return pineconeClientSingleton
}
class Pinecone_VectorStores implements INode { class Pinecone_VectorStores implements INode {
label: string label: string
name: string name: string
@ -25,7 +42,7 @@ class Pinecone_VectorStores implements INode {
constructor() { constructor() {
this.label = 'Pinecone' this.label = 'Pinecone'
this.name = 'pinecone' this.name = 'pinecone'
this.version = 3.0 this.version = 4.0
this.type = 'Pinecone' this.type = 'Pinecone'
this.icon = 'pinecone.svg' this.icon = 'pinecone.svg'
this.category = 'Vector Stores' this.category = 'Vector Stores'
@ -71,6 +88,15 @@ class Pinecone_VectorStores implements INode {
additionalParams: true, additionalParams: true,
optional: true optional: true
}, },
{
label: 'Pinecone Text Key',
name: 'pineconeTextKey',
description: 'The key in the metadata for storing text. Default to `text`',
type: 'string',
placeholder: 'text',
additionalParams: true,
optional: true
},
{ {
label: 'Pinecone Metadata Filter', label: 'Pinecone Metadata Filter',
name: 'pineconeMetadataFilter', name: 'pineconeMetadataFilter',
@ -111,13 +137,12 @@ class Pinecone_VectorStores implements INode {
const docs = nodeData.inputs?.document as Document[] const docs = nodeData.inputs?.document as Document[]
const embeddings = nodeData.inputs?.embeddings as Embeddings const embeddings = nodeData.inputs?.embeddings as Embeddings
const recordManager = nodeData.inputs?.recordManager const recordManager = nodeData.inputs?.recordManager
const pineconeTextKey = nodeData.inputs?.pineconeTextKey as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options) const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const pineconeApiKey = getCredentialParam('pineconeApiKey', credentialData, nodeData) const pineconeApiKey = getCredentialParam('pineconeApiKey', credentialData, nodeData)
const client = new Pinecone({ const client = getPineconeClient({ apiKey: pineconeApiKey })
apiKey: pineconeApiKey
})
const pineconeIndex = client.Index(_index) const pineconeIndex = client.Index(_index)
@ -130,7 +155,8 @@ class Pinecone_VectorStores implements INode {
} }
const obj: PineconeStoreParams = { const obj: PineconeStoreParams = {
pineconeIndex pineconeIndex,
textKey: pineconeTextKey ?? 'text'
} }
if (pineconeNamespace) obj.namespace = pineconeNamespace if (pineconeNamespace) obj.namespace = pineconeNamespace
@ -166,20 +192,18 @@ class Pinecone_VectorStores implements INode {
const pineconeNamespace = nodeData.inputs?.pineconeNamespace as string const pineconeNamespace = nodeData.inputs?.pineconeNamespace as string
const pineconeMetadataFilter = nodeData.inputs?.pineconeMetadataFilter const pineconeMetadataFilter = nodeData.inputs?.pineconeMetadataFilter
const embeddings = nodeData.inputs?.embeddings as Embeddings const embeddings = nodeData.inputs?.embeddings as Embeddings
const pineconeTextKey = nodeData.inputs?.pineconeTextKey as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options) const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const pineconeApiKey = getCredentialParam('pineconeApiKey', credentialData, nodeData) const pineconeApiKey = getCredentialParam('pineconeApiKey', credentialData, nodeData)
const client = new Pinecone({ const client = getPineconeClient({ apiKey: pineconeApiKey })
apiKey: pineconeApiKey
})
await client.describeIndex(index)
const pineconeIndex = client.Index(index) const pineconeIndex = client.Index(index)
const obj: PineconeStoreParams = { const obj: PineconeStoreParams = {
pineconeIndex pineconeIndex,
textKey: pineconeTextKey ?? 'text'
} }
if (pineconeNamespace) obj.namespace = pineconeNamespace if (pineconeNamespace) obj.namespace = pineconeNamespace

23
packages/components/nodes/vectorstores/Postgres/Postgres.ts
View File

@ -25,7 +25,7 @@ class Postgres_VectorStores implements INode {
constructor() { constructor() {
this.label = 'Postgres' this.label = 'Postgres'
this.name = 'postgres' this.name = 'postgres'
this.version = 4.0 this.version = 5.0
this.type = 'Postgres' this.type = 'Postgres'
this.icon = 'postgres.svg' this.icon = 'postgres.svg'
this.category = 'Vector Stores' this.category = 'Vector Stores'
@ -98,6 +98,13 @@ class Postgres_VectorStores implements INode {
type: 'number', type: 'number',
additionalParams: true, additionalParams: true,
optional: true optional: true
},
{
label: 'Postgres Metadata Filter',
name: 'pgMetadataFilter',
type: 'json',
additionalParams: true,
optional: true
} }
] ]
this.outputs = [ this.outputs = [
@ -209,6 +216,12 @@ class Postgres_VectorStores implements INode {
const output = nodeData.outputs?.output as string const output = nodeData.outputs?.output as string
const topK = nodeData.inputs?.topK as string const topK = nodeData.inputs?.topK as string
const k = topK ? parseFloat(topK) : 4 const k = topK ? parseFloat(topK) : 4
const _pgMetadataFilter = nodeData.inputs?.pgMetadataFilter
let pgMetadataFilter: any
if (_pgMetadataFilter) {
pgMetadataFilter = typeof _pgMetadataFilter === 'object' ? _pgMetadataFilter : JSON.parse(_pgMetadataFilter)
}
let additionalConfiguration = {} let additionalConfiguration = {}
if (additionalConfig) { if (additionalConfig) {
@ -244,7 +257,7 @@ class Postgres_VectorStores implements INode {
[ERROR]: uncaughtException: Illegal invocation TypeError: Illegal invocation at Socket.ref (node:net:1524:18) at Connection.ref (.../node_modules/pg/lib/connection.js:183:17) at Client.ref (.../node_modules/pg/lib/client.js:591:21) at BoundPool._pulseQueue (/node_modules/pg-pool/index.js:148:28) at .../node_modules/pg-pool/index.js:184:37 at process.processTicksAndRejections (node:internal/process/task_queues:77:11) [ERROR]: uncaughtException: Illegal invocation TypeError: Illegal invocation at Socket.ref (node:net:1524:18) at Connection.ref (.../node_modules/pg/lib/connection.js:183:17) at Client.ref (.../node_modules/pg/lib/client.js:591:21) at BoundPool._pulseQueue (/node_modules/pg-pool/index.js:148:28) at .../node_modules/pg-pool/index.js:184:37 at process.processTicksAndRejections (node:internal/process/task_queues:77:11)
*/ */
vectorStore.similaritySearchVectorWithScore = async (query: number[], k: number, filter?: any) => { vectorStore.similaritySearchVectorWithScore = async (query: number[], k: number, filter?: any) => {
return await similaritySearchVectorWithScore(query, k, tableName, postgresConnectionOptions, filter) return await similaritySearchVectorWithScore(query, k, tableName, postgresConnectionOptions, filter ?? pgMetadataFilter)
} }
if (output === 'retriever') { if (output === 'retriever') {
@ -252,6 +265,9 @@ class Postgres_VectorStores implements INode {
return retriever return retriever
} else if (output === 'vectorStore') { } else if (output === 'vectorStore') {
;(vectorStore as any).k = k ;(vectorStore as any).k = k
if (pgMetadataFilter) {
;(vectorStore as any).filter = pgMetadataFilter
}
return vectorStore return vectorStore
} }
return vectorStore return vectorStore
@ -266,7 +282,8 @@ const similaritySearchVectorWithScore = async (
filter?: any filter?: any
) => { ) => {
const embeddingString = `[${query.join(',')}]` const embeddingString = `[${query.join(',')}]`
const _filter = filter ?? '{}' let _filter = '{}'
if (filter && typeof filter === 'object') _filter = JSON.stringify(filter)
const queryString = ` const queryString = `
SELECT *, embedding <=> $1 as "_distance" SELECT *, embedding <=> $1 as "_distance"

4
packages/components/package.json
View File

@ -51,7 +51,7 @@
"@mistralai/mistralai": "0.1.3", "@mistralai/mistralai": "0.1.3",
"@notionhq/client": "^2.2.8", "@notionhq/client": "^2.2.8",
"@opensearch-project/opensearch": "^1.2.0", "@opensearch-project/opensearch": "^1.2.0",
"@pinecone-database/pinecone": "2.2.0", "@pinecone-database/pinecone": "2.2.2",
"@qdrant/js-client-rest": "^1.2.2", "@qdrant/js-client-rest": "^1.2.2",
"@supabase/supabase-js": "^2.29.0", "@supabase/supabase-js": "^2.29.0",
"@types/js-yaml": "^4.0.5", "@types/js-yaml": "^4.0.5",
@ -96,7 +96,7 @@
"node-html-markdown": "^1.3.0", "node-html-markdown": "^1.3.0",
"notion-to-md": "^3.1.1", "notion-to-md": "^3.1.1",
"object-hash": "^3.0.0", "object-hash": "^3.0.0",
"openai": "^4.38.3", "openai": "^4.51.0",
"pdf-parse": "^1.1.1", "pdf-parse": "^1.1.1",
"pdfjs-dist": "^3.7.107", "pdfjs-dist": "^3.7.107",
"pg": "^8.11.2", "pg": "^8.11.2",

8
packages/components/src/multiModalUtils.ts
View File

@ -20,6 +20,14 @@ export const addImagesToMessages = async (
// as the image is stored in the server, read the file and convert it to base64 // as the image is stored in the server, read the file and convert it to base64
bf = 'data:' + upload.mime + ';base64,' + contents.toString('base64') bf = 'data:' + upload.mime + ';base64,' + contents.toString('base64')
imageContent.push({
type: 'image_url',
image_url: {
url: bf,
detail: multiModalOption.image.imageResolution ?? 'low'
}
})
} else if (upload.type == 'url' && bf) {
imageContent.push({ imageContent.push({
type: 'image_url', type: 'image_url',
image_url: { image_url: {

2
packages/server/package.json
View File

@ -75,7 +75,7 @@
"moment-timezone": "^0.5.34", "moment-timezone": "^0.5.34",
"multer": "^1.4.5-lts.1", "multer": "^1.4.5-lts.1",
"mysql2": "^3.9.2", "mysql2": "^3.9.2",
"openai": "^4.20.0", "openai": "^4.51.0",
"pg": "^8.11.1", "pg": "^8.11.1",
"posthog-node": "^3.5.0", "posthog-node": "^3.5.0",
"reflect-metadata": "^0.1.13", "reflect-metadata": "^0.1.13",

2
packages/server/src/controllers/chatflows/index.ts
View File

@ -71,7 +71,7 @@ const getChatflowByApiKey = async (req: Request, res: Response, next: NextFuncti
if (!apikey) { if (!apikey) {
return res.status(401).send('Unauthorized') return res.status(401).send('Unauthorized')
} }
const apiResponse = await chatflowsService.getChatflowByApiKey(apikey.id) const apiResponse = await chatflowsService.getChatflowByApiKey(apikey.id, req.query.keyonly)
return res.json(apiResponse) return res.json(apiResponse)
} catch (error) { } catch (error) {
next(error) next(error)

13
packages/server/src/services/chatflows/index.ts
View File

@ -120,17 +120,18 @@ const getAllChatflows = async (type?: ChatflowType): Promise<IChatFlow[]> => {
} }
} }
const getChatflowByApiKey = async (apiKeyId: string): Promise<any> => { const getChatflowByApiKey = async (apiKeyId: string, keyonly?: unknown): Promise<any> => {
try { try {
// Here we only get chatflows that are bounded by the apikeyid and chatflows that are not bounded by any apikey // Here we only get chatflows that are bounded by the apikeyid and chatflows that are not bounded by any apikey
const appServer = getRunningExpressApp() const appServer = getRunningExpressApp()
const dbResponse = await appServer.AppDataSource.getRepository(ChatFlow) let query = appServer.AppDataSource.getRepository(ChatFlow)
.createQueryBuilder('cf') .createQueryBuilder('cf')
.where('cf.apikeyid = :apikeyid', { apikeyid: apiKeyId }) .where('cf.apikeyid = :apikeyid', { apikeyid: apiKeyId })
.orWhere('cf.apikeyid IS NULL') if (keyonly === undefined) {
.orWhere('cf.apikeyid = ""') query = query.orWhere('cf.apikeyid IS NULL').orWhere('cf.apikeyid = ""')
.orderBy('cf.name', 'ASC') }
.getMany()
const dbResponse = await query.orderBy('cf.name', 'ASC').getMany()
if (dbResponse.length < 1) { if (dbResponse.length < 1) {
throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Chatflow not found in the database!`) throw new InternalFlowiseError(StatusCodes.NOT_FOUND, `Chatflow not found in the database!`)
} }

2
packages/server/src/utils/apiKey.ts
View File

@ -19,7 +19,7 @@ export const getAPIKeyPath = (): string => {
*/ */
export const generateAPIKey = (): string => { export const generateAPIKey = (): string => {
const buffer = randomBytes(32) const buffer = randomBytes(32)
return buffer.toString('base64') return buffer.toString('base64url')
} }
/** /**

6
packages/server/src/utils/buildChatflow.ts
View File

@ -94,6 +94,12 @@ export const utilBuildChatflow = async (req: Request, socketIO?: Server, isInter
fileUploads[i] = omit(upload, ['data']) fileUploads[i] = omit(upload, ['data'])
} }
if (upload.type === 'url' && upload.data) {
const filename = upload.name
const urlData = upload.data
fileUploads[i] = { data: urlData, name: filename, type: 'url', mime: upload.mime ?? 'image/png' }
}
// Run Speech to Text conversion // Run Speech to Text conversion
if (upload.mime === 'audio/webm' || upload.mime === 'audio/mp4' || upload.mime === 'audio/ogg') { if (upload.mime === 'audio/webm' || upload.mime === 'audio/mp4' || upload.mime === 'audio/ogg') {
logger.debug(`Attempting a speech to text conversion...`) logger.debug(`Attempting a speech to text conversion...`)

22
packages/ui/src/views/chatflows/EmbedChat.jsx
View File

@ -104,6 +104,24 @@ const buttonConfig = (isReact = false) => {
}` }`
} }
const tooltipConfig = (isReact = false) => {
return isReact
? `tooltip: {
showTooltip: true,
tooltipMessage: 'Hi There 👋!',
tooltipBackgroundColor: 'black',
tooltipTextColor: 'white',
tooltipFontSize: 16,
}`
: `tooltip: {
showTooltip: true,
tooltipMessage: 'Hi There 👋!',
tooltipBackgroundColor: 'black',
tooltipTextColor: 'white',
tooltipFontSize: 16,
}`
}
const chatwindowConfig = (isReact = false) => { const chatwindowConfig = (isReact = false) => {
return isReact return isReact
? `chatWindow: { ? `chatWindow: {
@ -136,6 +154,7 @@ const chatwindowConfig = (isReact = false) => {
sendButtonColor: '#3B81F6', sendButtonColor: '#3B81F6',
maxChars: 50, maxChars: 50,
maxCharsWarningMessage: 'You exceeded the characters limit. Please input less than 50 characters.', maxCharsWarningMessage: 'You exceeded the characters limit. Please input less than 50 characters.',
autoFocus: true, // If not used, autofocus is disabled on mobile and enabled on desktop. true enables it on both, false disables it on both.
}, },
feedback: { feedback: {
color: '#303235', color: '#303235',
@ -177,6 +196,7 @@ const chatwindowConfig = (isReact = false) => {
sendButtonColor: '#3B81F6', sendButtonColor: '#3B81F6',
maxChars: 50, maxChars: 50,
maxCharsWarningMessage: 'You exceeded the characters limit. Please input less than 50 characters.', maxCharsWarningMessage: 'You exceeded the characters limit. Please input less than 50 characters.',
autoFocus: true, // If not used, autofocus is disabled on mobile and enabled on desktop. true enables it on both, false disables it on both.
}, },
feedback: { feedback: {
color: '#303235', color: '#303235',
@ -201,6 +221,7 @@ const embedPopupHtmlCodeCustomization = (chatflowid) => {
}, },
theme: { theme: {
${buttonConfig()}, ${buttonConfig()},
${tooltipConfig()},
${chatwindowConfig()} ${chatwindowConfig()}
} }
}) })
@ -217,6 +238,7 @@ const App = () => {
apiHost="${baseURL}" apiHost="${baseURL}"
theme={{ theme={{
${buttonConfig(true)}, ${buttonConfig(true)},
${tooltipConfig(true)},
${chatwindowConfig(true)} ${chatwindowConfig(true)}
}} }}
/> />

118
pnpm-lock.yaml
View File

@ -7,7 +7,7 @@ settings:
overrides: overrides:
'@qdrant/openapi-typescript-fetch': 1.2.1 '@qdrant/openapi-typescript-fetch': 1.2.1
'@google/generative-ai': ^0.7.0 '@google/generative-ai': ^0.7.0
openai: 4.38.3 openai: 4.51.0
importers: importers:
.: .:
@ -104,7 +104,7 @@ importers:
version: 8.12.2 version: 8.12.2
'@getzep/zep-cloud': '@getzep/zep-cloud':
specifier: npm:@getzep/zep-js@next specifier: npm:@getzep/zep-js@next
version: '@getzep/zep-js@2.0.0-rc.4(@langchain/core@0.1.63)(langchain@0.1.37(@aws-crypto/sha256-js@5.2.0)(@aws-sdk/client-bedrock-runtime@3.422.0)(@aws-sdk/client-dynamodb@3.529.1)(@aws-sdk/client-s3@3.529.1)(@aws-sdk/credential-provider-node@3.529.1)(@datastax/astra-db-ts@0.1.4)(@elastic/elasticsearch@8.12.2)(@getzep/zep-js@0.9.0)(@gomomento/sdk-core@1.68.1)(@gomomento/sdk@1.68.1(encoding@0.1.13))(@google-ai/generativelanguage@0.2.1(encoding@0.1.13))(@huggingface/inference@2.6.4)(@notionhq/client@2.2.14(encoding@0.1.13))(@opensearch-project/opensearch@1.2.0)(@pinecone-database/pinecone@2.2.0)(@qdrant/js-client-rest@1.8.1(typescript@4.9.5))(@smithy/eventstream-codec@2.1.4)(@smithy/protocol-http@3.2.2)(@smithy/signature-v4@2.1.4)(@smithy/util-utf8@2.2.0)(@supabase/postgrest-js@1.9.2)(@supabase/supabase-js@2.39.8(bufferutil@4.0.8)(utf-8-validate@6.0.4))(@upstash/redis@1.22.1(encoding@0.1.13))(@upstash/vector@1.0.7)(@xenova/transformers@2.17.1)(@zilliz/milvus2-sdk-node@2.3.5)(apify-client@2.9.3)(assemblyai@4.3.2(bufferutil@4.0.8)(utf-8-validate@6.0.4))(axios@1.6.2)(cheerio@1.0.0-rc.12)(chromadb@1.8.1(@google/generative-ai@0.7.0)(cohere-ai@6.2.2)(encoding@0.1.13)(openai@4.38.3(encoding@0.1.13)))(cohere-ai@6.2.2)(couchbase@4.3.1)(d3-dsv@2.0.0)(encoding@0.1.13)(faiss-node@0.5.1)(fast-xml-parser@4.3.5)(google-auth-library@9.6.3(encoding@0.1.13))(html-to-text@9.0.5)(ignore@5.3.1)(ioredis@5.3.2)(jsdom@22.1.0(bufferutil@4.0.8)(canvas@2.11.2(encoding@0.1.13))(utf-8-validate@6.0.4))(lodash@4.17.21)(lunary@0.6.16(openai@4.38.3(encoding@0.1.13))(react@18.2.0))(mammoth@1.7.0)(mongodb@6.3.0(gcp-metadata@6.1.0(encoding@0.1.13))(socks@2.8.1))(mysql2@3.9.2)(notion-to-md@3.1.1(encoding@0.1.13))(pdf-parse@1.1.1)(pg@8.11.3)(playwright@1.42.1)(portkey-ai@0.1.16)(puppeteer@20.9.0(bufferutil@4.0.8)(encoding@0.1.13)(typescript@4.9.5)(utf-8-validate@6.0.4))(pyodide@0.25.0(bufferutil@4.0.8)(utf-8-validate@6.0.4))(redis@4.6.13)(replicate@0.18.1)(srt-parser-2@1.2.3)(typeorm@0.3.20(ioredis@5.3.2)(mongodb@6.3.0(gcp-metadata@6.1.0(encoding@0.1.13))(socks@2.8.1))(mysql2@3.9.2)(pg@8.11.3)(redis@4.6.13)(sqlite3@5.1.7)(ts-node@10.9.2(@swc/core@1.4.6)(@types/node@20.12.12)(typescript@4.9.5)))(weaviate-ts-client@1.6.0(encoding@0.1.13)(graphql@16.8.1))(ws@8.16.0(bufferutil@4.0.8)(utf-8-validate@6.0.4)))' version: '@getzep/zep-js@2.0.0-rc.4(@langchain/core@0.1.63)(langchain@0.1.37(@aws-crypto/sha256-js@5.2.0)(@aws-sdk/client-bedrock-runtime@3.422.0)(@aws-sdk/client-dynamodb@3.529.1)(@aws-sdk/client-s3@3.529.1)(@aws-sdk/credential-provider-node@3.529.1)(@datastax/astra-db-ts@0.1.4)(@elastic/elasticsearch@8.12.2)(@getzep/zep-js@0.9.0)(@gomomento/sdk-core@1.68.1)(@gomomento/sdk@1.68.1(encoding@0.1.13))(@google-ai/generativelanguage@0.2.1(encoding@0.1.13))(@huggingface/inference@2.6.4)(@notionhq/client@2.2.14(encoding@0.1.13))(@opensearch-project/opensearch@1.2.0)(@pinecone-database/pinecone@2.2.2)(@qdrant/js-client-rest@1.8.1(typescript@4.9.5))(@smithy/eventstream-codec@2.1.4)(@smithy/protocol-http@3.2.2)(@smithy/signature-v4@2.1.4)(@smithy/util-utf8@2.2.0)(@supabase/postgrest-js@1.9.2)(@supabase/supabase-js@2.39.8(bufferutil@4.0.8)(utf-8-validate@6.0.4))(@upstash/redis@1.22.1(encoding@0.1.13))(@upstash/vector@1.0.7)(@xenova/transformers@2.17.1)(@zilliz/milvus2-sdk-node@2.3.5)(apify-client@2.9.3)(assemblyai@4.3.2(bufferutil@4.0.8)(utf-8-validate@6.0.4))(axios@1.6.2)(cheerio@1.0.0-rc.12)(chromadb@1.8.1(@google/generative-ai@0.7.0)(cohere-ai@6.2.2)(encoding@0.1.13)(openai@4.51.0(encoding@0.1.13)))(cohere-ai@6.2.2)(couchbase@4.3.1)(d3-dsv@2.0.0)(encoding@0.1.13)(faiss-node@0.5.1)(fast-xml-parser@4.3.5)(google-auth-library@9.6.3(encoding@0.1.13))(html-to-text@9.0.5)(ignore@5.3.1)(ioredis@5.3.2)(jsdom@22.1.0(bufferutil@4.0.8)(canvas@2.11.2(encoding@0.1.13))(utf-8-validate@6.0.4))(lodash@4.17.21)(lunary@0.6.16(openai@4.51.0(encoding@0.1.13))(react@18.2.0))(mammoth@1.7.0)(mongodb@6.3.0(gcp-metadata@6.1.0(encoding@0.1.13))(socks@2.8.1))(mysql2@3.9.2)(notion-to-md@3.1.1(encoding@0.1.13))(pdf-parse@1.1.1)(pg@8.11.3)(playwright@1.42.1)(portkey-ai@0.1.16)(puppeteer@20.9.0(bufferutil@4.0.8)(encoding@0.1.13)(typescript@4.9.5)(utf-8-validate@6.0.4))(pyodide@0.25.0(bufferutil@4.0.8)(utf-8-validate@6.0.4))(redis@4.6.13)(replicate@0.18.1)(srt-parser-2@1.2.3)(typeorm@0.3.20(ioredis@5.3.2)(mongodb@6.3.0(gcp-metadata@6.1.0(encoding@0.1.13))(socks@2.8.1))(mysql2@3.9.2)(pg@8.11.3)(redis@4.6.13)(sqlite3@5.1.7)(ts-node@10.9.2(@swc/core@1.4.6)(@types/node@20.12.12)(typescript@4.9.5)))(weaviate-ts-client@1.6.0(encoding@0.1.13)(graphql@16.8.1))(ws@8.16.0(bufferutil@4.0.8)(utf-8-validate@6.0.4)))'
'@getzep/zep-js': '@getzep/zep-js':
specifier: ^0.9.0 specifier: ^0.9.0
version: 0.9.0 version: 0.9.0
@ -131,7 +131,7 @@ importers:
version: 0.0.7(encoding@0.1.13) version: 0.0.7(encoding@0.1.13)
'@langchain/community': '@langchain/community':
specifier: ^0.0.43 specifier: ^0.0.43
version: 0.0.43(@aws-crypto/sha256-js@5.2.0)(@aws-sdk/client-bedrock-runtime@3.422.0)(@aws-sdk/client-dynamodb@3.529.1)(@aws-sdk/credential-provider-node@3.529.1)(@datastax/astra-db-ts@0.1.4)(@elastic/elasticsearch@8.12.2)(@getzep/zep-js@0.9.0)(@gomomento/sdk-core@1.68.1)(@gomomento/sdk@1.68.1(encoding@0.1.13))(@google-ai/generativelanguage@0.2.1(encoding@0.1.13))(@huggingface/inference@2.6.4)(@opensearch-project/opensearch@1.2.0)(@pinecone-database/pinecone@2.2.0)(@qdrant/js-client-rest@1.8.1(typescript@4.9.5))(@smithy/eventstream-codec@2.1.4)(@smithy/protocol-http@3.2.2)(@smithy/signature-v4@2.1.4)(@smithy/util-utf8@2.2.0)(@supabase/postgrest-js@1.9.2)(@supabase/supabase-js@2.39.8(bufferutil@4.0.8)(utf-8-validate@6.0.4))(@upstash/redis@1.22.1(encoding@0.1.13))(@upstash/vector@1.0.7)(@xenova/transformers@2.17.1)(@zilliz/milvus2-sdk-node@2.3.5)(chromadb@1.8.1(@google/generative-ai@0.7.0)(cohere-ai@6.2.2)(encoding@0.1.13)(openai@4.38.3(encoding@0.1.13)))(cohere-ai@6.2.2)(couchbase@4.3.1)(encoding@0.1.13)(faiss-node@0.5.1)(google-auth-library@9.6.3(encoding@0.1.13))(html-to-text@9.0.5)(ioredis@5.3.2)(jsdom@22.1.0(bufferutil@4.0.8)(canvas@2.11.2(encoding@0.1.13))(utf-8-validate@6.0.4))(lodash@4.17.21)(lunary@0.6.16(openai@4.38.3(encoding@0.1.13))(react@18.2.0))(mongodb@6.3.0(gcp-metadata@6.1.0(encoding@0.1.13))(socks@2.8.1))(mysql2@3.9.2)(pg@8.11.3)(portkey-ai@0.1.16)(redis@4.6.13)(replicate@0.18.1)(typeorm@0.3.20(ioredis@5.3.2)(mongodb@6.3.0(gcp-metadata@6.1.0(encoding@0.1.13))(socks@2.8.1))(mysql2@3.9.2)(pg@8.11.3)(redis@4.6.13)(sqlite3@5.1.7)(ts-node@10.9.2(@swc/core@1.4.6)(@types/node@20.12.12)(typescript@4.9.5)))(weaviate-ts-client@1.6.0(encoding@0.1.13)(graphql@16.8.1))(ws@8.16.0(bufferutil@4.0.8)(utf-8-validate@6.0.4)) version: 0.0.43(@aws-crypto/sha256-js@5.2.0)(@aws-sdk/client-bedrock-runtime@3.422.0)(@aws-sdk/client-dynamodb@3.529.1)(@aws-sdk/credential-provider-node@3.529.1)(@datastax/astra-db-ts@0.1.4)(@elastic/elasticsearch@8.12.2)(@getzep/zep-js@0.9.0)(@gomomento/sdk-core@1.68.1)(@gomomento/sdk@1.68.1(encoding@0.1.13))(@google-ai/generativelanguage@0.2.1(encoding@0.1.13))(@huggingface/inference@2.6.4)(@opensearch-project/opensearch@1.2.0)(@pinecone-database/pinecone@2.2.2)(@qdrant/js-client-rest@1.8.1(typescript@4.9.5))(@smithy/eventstream-codec@2.1.4)(@smithy/protocol-http@3.2.2)(@smithy/signature-v4@2.1.4)(@smithy/util-utf8@2.2.0)(@supabase/postgrest-js@1.9.2)(@supabase/supabase-js@2.39.8(bufferutil@4.0.8)(utf-8-validate@6.0.4))(@upstash/redis@1.22.1(encoding@0.1.13))(@upstash/vector@1.0.7)(@xenova/transformers@2.17.1)(@zilliz/milvus2-sdk-node@2.3.5)(chromadb@1.8.1(@google/generative-ai@0.7.0)(cohere-ai@6.2.2)(encoding@0.1.13)(openai@4.51.0(encoding@0.1.13)))(cohere-ai@6.2.2)(couchbase@4.3.1)(encoding@0.1.13)(faiss-node@0.5.1)(google-auth-library@9.6.3(encoding@0.1.13))(html-to-text@9.0.5)(ioredis@5.3.2)(jsdom@22.1.0(bufferutil@4.0.8)(canvas@2.11.2(encoding@0.1.13))(utf-8-validate@6.0.4))(lodash@4.17.21)(lunary@0.6.16(openai@4.51.0(encoding@0.1.13))(react@18.2.0))(mongodb@6.3.0(gcp-metadata@6.1.0(encoding@0.1.13))(socks@2.8.1))(mysql2@3.9.2)(pg@8.11.3)(portkey-ai@0.1.16)(redis@4.6.13)(replicate@0.18.1)(typeorm@0.3.20(ioredis@5.3.2)(mongodb@6.3.0(gcp-metadata@6.1.0(encoding@0.1.13))(socks@2.8.1))(mysql2@3.9.2)(pg@8.11.3)(redis@4.6.13)(sqlite3@5.1.7)(ts-node@10.9.2(@swc/core@1.4.6)(@types/node@20.12.12)(typescript@4.9.5)))(weaviate-ts-client@1.6.0(encoding@0.1.13)(graphql@16.8.1))(ws@8.16.0(bufferutil@4.0.8)(utf-8-validate@6.0.4))
'@langchain/core': '@langchain/core':
specifier: ^0.1.63 specifier: ^0.1.63
version: 0.1.63 version: 0.1.63
@ -175,8 +175,8 @@ importers:
specifier: ^1.2.0 specifier: ^1.2.0
version: 1.2.0 version: 1.2.0
'@pinecone-database/pinecone': '@pinecone-database/pinecone':
specifier: 2.2.0 specifier: 2.2.2
version: 2.2.0 version: 2.2.2
'@qdrant/js-client-rest': '@qdrant/js-client-rest':
specifier: ^1.2.2 specifier: ^1.2.2
version: 1.8.1(typescript@4.9.5) version: 1.8.1(typescript@4.9.5)
@ -212,7 +212,7 @@ importers:
version: 1.0.0-rc.12 version: 1.0.0-rc.12
chromadb: chromadb:
specifier: ^1.5.11 specifier: ^1.5.11
version: 1.8.1(@google/generative-ai@0.7.0)(cohere-ai@6.2.2)(encoding@0.1.13)(openai@4.38.3(encoding@0.1.13)) version: 1.8.1(@google/generative-ai@0.7.0)(cohere-ai@6.2.2)(encoding@0.1.13)(openai@4.51.0(encoding@0.1.13))
cohere-ai: cohere-ai:
specifier: ^6.2.0 specifier: ^6.2.0
version: 6.2.2 version: 6.2.2
@ -263,13 +263,13 @@ importers:
version: 5.0.1 version: 5.0.1
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@ -29062,13 +29052,13 @@ snapshots:
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ajv: 8.13.0 ajv: 8.13.0
assemblyai: 4.4.3(bufferutil@4.0.8)(utf-8-validate@6.0.4) assemblyai: 4.4.3(bufferutil@4.0.8)(utf-8-validate@6.0.4)
chromadb: 1.7.3(@google/generative-ai@0.7.0)(cohere-ai@7.10.0(encoding@0.1.13))(encoding@0.1.13)(openai@4.38.3(encoding@0.1.13)) chromadb: 1.7.3(@google/generative-ai@0.7.0)(cohere-ai@7.10.0(encoding@0.1.13))(encoding@0.1.13)(openai@4.51.0(encoding@0.1.13))
cohere-ai: 7.10.0(encoding@0.1.13) cohere-ai: 7.10.0(encoding@0.1.13)
js-tiktoken: 1.0.12 js-tiktoken: 1.0.12
lodash: 4.17.21 lodash: 4.17.21
@ -29350,7 +29340,7 @@ snapshots:
md-utils-ts: 2.0.0 md-utils-ts: 2.0.0
mongodb: 6.6.2(gcp-metadata@6.1.0(encoding@0.1.13))(socks@2.8.1) mongodb: 6.6.2(gcp-metadata@6.1.0(encoding@0.1.13))(socks@2.8.1)
notion-md-crawler: 1.0.0(encoding@0.1.13) notion-md-crawler: 1.0.0(encoding@0.1.13)
openai: 4.38.3(encoding@0.1.13) openai: 4.51.0(encoding@0.1.13)
papaparse: 5.4.1 papaparse: 5.4.1
pathe: 1.1.2 pathe: 1.1.2
pdf2json: 3.0.5 pdf2json: 3.0.5
@ -29691,12 +29681,12 @@ snapshots:
lru-cache@9.1.2: {} lru-cache@9.1.2: {}
lunary@0.6.16(openai@4.38.3(encoding@0.1.13))(react@18.2.0): lunary@0.6.16(openai@4.51.0(encoding@0.1.13))(react@18.2.0):
dependencies: dependencies:
unctx: 2.3.1 unctx: 2.3.1
update: 0.7.4 update: 0.7.4
optionalDependencies: optionalDependencies:
openai: 4.38.3(encoding@0.1.13) openai: 4.51.0(encoding@0.1.13)
react: 18.2.0 react: 18.2.0
transitivePeerDependencies: transitivePeerDependencies:
- supports-color - supports-color
@ -31231,7 +31221,7 @@ snapshots:
is-docker: 2.2.1 is-docker: 2.2.1
is-wsl: 2.2.0 is-wsl: 2.2.0
openai@4.38.3(encoding@0.1.13): openai@4.51.0(encoding@0.1.13):
dependencies: dependencies:
'@types/node': 18.19.23 '@types/node': 18.19.23
'@types/node-fetch': 2.6.11 '@types/node-fetch': 2.6.11
@ -32448,7 +32438,7 @@ snapshots:
'@protobufjs/path': 1.1.2 '@protobufjs/path': 1.1.2
'@protobufjs/pool': 1.1.0 '@protobufjs/pool': 1.1.0
'@protobufjs/utf8': 1.1.0 '@protobufjs/utf8': 1.1.0
'@types/node': 20.11.26 '@types/node': 20.12.12
long: 5.2.3 long: 5.2.3
protobufjs@7.2.6: protobufjs@7.2.6: