diff --git a/apps/simple/assemblyai.ts b/apps/simple/assemblyai.ts
new file mode 100644
index 0000000000000000000000000000000000000000..d0333806349002eb500a241701c31b677fd67e87
--- /dev/null
+++ b/apps/simple/assemblyai.ts
@@ -0,0 +1,60 @@
+import { program } from "commander";
+import { AudioTranscriptReader, CreateTranscriptParameters } from "llamaindex";
+import { stdin as input, stdout as output } from "node:process";
+// readline/promises is still experimental so not in @types/node yet
+// @ts-ignore
+import readline from "node:readline/promises";
+import { VectorStoreIndex } from "../../packages/core/src/indices";
+
+program
+ .option(
+ "-a, --audio-url [string]",
+ "URL or path of the audio file to transcribe",
+ )
+ .option("-i, --transcript-id [string]", "ID of the AssemblyAI transcript")
+ .action(async (options) => {
+ if (!process.env.ASSEMBLYAI_API_KEY) {
+ console.log("No ASSEMBLYAI_API_KEY found in environment variables.");
+ return;
+ }
+
+ const reader = new AudioTranscriptReader();
+ let params: CreateTranscriptParameters | string;
+ console.log(options);
+ if (options.audioUrl) {
+ params = {
+ audio_url: options.audioUrl,
+ };
+ } else if (options.transcriptId) {
+ params = options.transcriptId;
+ } else {
+ console.log(
+ "You must provide either an --audio-url or a --transcript-id",
+ );
+ return;
+ }
+
+ const documents = await reader.loadData(params);
+ console.log(documents);
+
+ // Split text and create embeddings. Store them in a VectorStoreIndex
+ const index = await VectorStoreIndex.fromDocuments(documents);
+
+ // Create query engine
+ const queryEngine = index.asQueryEngine();
+
+ const rl = readline.createInterface({ input, output });
+ while (true) {
+ const query = await rl.question("Ask a question: ");
+
+ if (!query) {
+ break;
+ }
+
+ const response = await queryEngine.query(query);
+
+ console.log(response.toString());
+ }
+ });
+
+program.parse();
diff --git a/apps/simple/pg-vector-store/README.md b/apps/simple/pg-vector-store/README.md
index 7bcf6a854430165398eafdb80159d769645e4715..fc0316896e004fd0618787bcb68a619bf1cb07b5 100644
--- a/apps/simple/pg-vector-store/README.md
+++ b/apps/simple/pg-vector-store/README.md
@@ -1,28 +1,33 @@
# Postgres Vector Store
+
There are two scripts available here: load-docs.ts and query.ts
## Prerequisites
-You'll need a postgres database instance against which to run these scripts. A simple docker command would look like this:
->`docker run -d --rm --name vector-db -p 5432:5432 -e "POSTGRES_HOST_AUTH_METHOD=trust" ankane/pgvector`
+You'll need a postgres database instance against which to run these scripts. A simple docker command would look like this:
+
+> `docker run -d --rm --name vector-db -p 5432:5432 -e "POSTGRES_HOST_AUTH_METHOD=trust" ankane/pgvector`
Set the PGHOST and PGUSER (and PGPASSWORD) environment variables to match your database setup.
You'll also need a value for OPENAI_API_KEY in your environment.
-**NOTE:** Using `--rm` in the example docker command above means that the vector store will be deleted every time the container is stopped. For production purposes, use a volume to ensure persistence across restarts.
+**NOTE:** Using `--rm` in the example docker command above means that the vector store will be deleted every time the container is stopped. For production purposes, use a volume to ensure persistence across restarts.
## Setup and Loading Docs
-Read and follow the instructions in the README.md file located one directory up to make sure your JS/TS dependencies are set up. The commands listed below are also run from that parent directory.
+
+Read and follow the instructions in the README.md file located one directory up to make sure your JS/TS dependencies are set up. The commands listed below are also run from that parent directory.
To import documents and save the embedding vectors to your database:
->`npx ts-node pg-vector-store/load-docs.ts data`
-where data is the directory containing your input files. Using the *data* directory in the example above will read all of the files in that directory using the llamaindexTS default readers for each file type.
+> `npx ts-node pg-vector-store/load-docs.ts data`
+
+where data is the directory containing your input files. Using the _data_ directory in the example above will read all of the files in that directory using the llamaindexTS default readers for each file type.
## RAG Querying
+
To query using the resulting vector store:
->`npx ts-node pg-vector-store/query.ts`
+> `npx ts-node pg-vector-store/query.ts`
-The script will prompt for a question, then process and present the answer using the PGVectorStore data and your OpenAI API key. It will continue to prompt until you enter `q`, `quit` or `exit` as the next query.
\ No newline at end of file
+The script will prompt for a question, then process and present the answer using the PGVectorStore data and your OpenAI API key. It will continue to prompt until you enter `q`, `quit` or `exit` as the next query.
diff --git a/apps/simple/pg-vector-store/load-docs.ts b/apps/simple/pg-vector-store/load-docs.ts
index 2a5eb863b3035287549d1faa08a94170b13cd9f1..81e2ccc472b3f01835fc5ae98c3ca1628dc2877b 100755
--- a/apps/simple/pg-vector-store/load-docs.ts
+++ b/apps/simple/pg-vector-store/load-docs.ts
@@ -1,60 +1,68 @@
// load-docs.ts
-import fs from 'fs/promises';
-import { SimpleDirectoryReader, storageContextFromDefaults, VectorStoreIndex } from 'llamaindex';
+import fs from "fs/promises";
+import {
+ SimpleDirectoryReader,
+ storageContextFromDefaults,
+ VectorStoreIndex,
+} from "llamaindex";
import { PGVectorStore } from "../../../packages/core/src/storage/vectorStore/PGVectorStore";
async function getSourceFilenames(sourceDir: string) {
- return await fs.readdir(sourceDir)
- .then(
- (fileNames) => fileNames.map(
- (file) => sourceDir + '/' + file
- )
- );
+ return await fs
+ .readdir(sourceDir)
+ .then((fileNames) => fileNames.map((file) => sourceDir + "/" + file));
}
-function callback(category: string, name: string, status: any, message: string = ''): boolean {
- console.log(category, name, status, message);
- return true;
+function callback(
+ category: string,
+ name: string,
+ status: any,
+ message: string = "",
+): boolean {
+ console.log(category, name, status, message);
+ return true;
}
async function main(args: any) {
+ const sourceDir: string = args.length > 2 ? args[2] : "../data";
- const sourceDir: string = args.length > 2 ? args[2] : '../data';
-
- console.log(`Finding documents in ${sourceDir}`);
- const fileList = await getSourceFilenames(sourceDir);
- const count = fileList.length;
- console.log(`Found ${count} files`);
-
- console.log(`Importing contents from ${count} files in ${sourceDir}`);
- var fileName = '';
- try {
-
- // Passing callback fn to the ctor here
- // will enable looging to console.
- // See callback fn, defined above.
- const rdr = new SimpleDirectoryReader(callback);
- const docs = await rdr.loadData({ directoryPath: sourceDir });
-
- const pgvs = new PGVectorStore();
- pgvs.setCollection(sourceDir);
- pgvs.clearCollection();
-
- const ctx = await storageContextFromDefaults(
- { vectorStore: pgvs }
- );
-
- console.debug(' - creating vector store');
- const index = await VectorStoreIndex.fromDocuments(docs, { storageContext: ctx });
- console.debug(' - done.');
- } catch (err) {
- console.error(fileName, err);
- console.log("If your PGVectorStore init failed, make sure to set env vars for PGUSER or USER, PGHOST, PGPORT and PGPASSWORD as needed.");
- process.exit(1);
- }
-
- console.log("Done. Try running query.ts to ask questions against the imported embeddings.");
- process.exit(0);
+ console.log(`Finding documents in ${sourceDir}`);
+ const fileList = await getSourceFilenames(sourceDir);
+ const count = fileList.length;
+ console.log(`Found ${count} files`);
+
+ console.log(`Importing contents from ${count} files in ${sourceDir}`);
+ var fileName = "";
+ try {
+ // Passing callback fn to the ctor here
+ // will enable looging to console.
+ // See callback fn, defined above.
+ const rdr = new SimpleDirectoryReader(callback);
+ const docs = await rdr.loadData({ directoryPath: sourceDir });
+
+ const pgvs = new PGVectorStore();
+ pgvs.setCollection(sourceDir);
+ pgvs.clearCollection();
+
+ const ctx = await storageContextFromDefaults({ vectorStore: pgvs });
+
+ console.debug(" - creating vector store");
+ const index = await VectorStoreIndex.fromDocuments(docs, {
+ storageContext: ctx,
+ });
+ console.debug(" - done.");
+ } catch (err) {
+ console.error(fileName, err);
+ console.log(
+ "If your PGVectorStore init failed, make sure to set env vars for PGUSER or USER, PGHOST, PGPORT and PGPASSWORD as needed.",
+ );
+ process.exit(1);
+ }
+
+ console.log(
+ "Done. Try running query.ts to ask questions against the imported embeddings.",
+ );
+ process.exit(0);
}
-main(process.argv).catch((err) => console.error(err));
\ No newline at end of file
+main(process.argv).catch((err) => console.error(err));
diff --git a/apps/simple/pg-vector-store/query.ts b/apps/simple/pg-vector-store/query.ts
index 9bb7c34a3bd4b679c2acf00bc4c3c9573712270a..bfda4dd1954d75e9a340d3f90b70002c5f215345 100755
--- a/apps/simple/pg-vector-store/query.ts
+++ b/apps/simple/pg-vector-store/query.ts
@@ -3,57 +3,65 @@ import { serviceContextFromDefaults } from "../../../packages/core/src/ServiceCo
import { PGVectorStore } from "../../../packages/core/src/storage/vectorStore/PGVectorStore";
async function main() {
+ const readline = require("readline").createInterface({
+ input: process.stdin,
+ output: process.stdout,
+ });
- const readline = require('readline').createInterface({
- input: process.stdin,
- output: process.stdout
- });
-
- try {
- const pgvs = new PGVectorStore();
- // Optional - set your collection name, default is no filter on this field.
- // pgvs.setCollection();
-
- const ctx = serviceContextFromDefaults();
- const index = await VectorStoreIndex.fromVectorStore(pgvs, ctx);
-
- // Query the index
- const queryEngine = await index.asQueryEngine();
-
- let question = '';
- while (! isQuit(question)) {
- question = await getUserInput(readline);
-
- if (isQuit(question)) {
- readline.close();
- process.exit(0);
- }
-
- try {
- const answer = await queryEngine.query(question);
- console.log(answer.response);
- } catch (error) {
- console.error('Error:', error);
- }
- }
- } catch (err) {
- console.error(err);
- console.log("If your PGVectorStore init failed, make sure to set env vars for PGUSER or USER, PGHOST, PGPORT and PGPASSWORD as needed.");
- process.exit(1);
+ try {
+ const pgvs = new PGVectorStore();
+ // Optional - set your collection name, default is no filter on this field.
+ // pgvs.setCollection();
+
+ const ctx = serviceContextFromDefaults();
+ const index = await VectorStoreIndex.fromVectorStore(pgvs, ctx);
+
+ // Query the index
+ const queryEngine = await index.asQueryEngine();
+
+ let question = "";
+ while (!isQuit(question)) {
+ question = await getUserInput(readline);
+
+ if (isQuit(question)) {
+ readline.close();
+ process.exit(0);
+ }
+
+ try {
+ const answer = await queryEngine.query(question);
+ console.log(answer.response);
+ } catch (error) {
+ console.error("Error:", error);
+ }
}
+ } catch (err) {
+ console.error(err);
+ console.log(
+ "If your PGVectorStore init failed, make sure to set env vars for PGUSER or USER, PGHOST, PGPORT and PGPASSWORD as needed.",
+ );
+ process.exit(1);
+ }
}
function isQuit(question: string) {
- return ['q', 'quit', 'exit'].includes(question.trim().toLowerCase());
+ return ["q", "quit", "exit"].includes(question.trim().toLowerCase());
}
// Function to get user input as a promise
function getUserInput(readline: any): Promise<string> {
- return new Promise((resolve) => {
- readline.question("What would you like to know?\n>", (userInput: string) => {
- resolve(userInput);
- });
- });
+ return new Promise((resolve) => {
+ readline.question(
+ "What would you like to know?\n>",
+ (userInput: string) => {
+ resolve(userInput);
+ },
+ );
+ });
}
-main().catch(console.error).finally(() => { process.exit(1) });
+main()
+ .catch(console.error)
+ .finally(() => {
+ process.exit(1);
+ });
diff --git a/examples/assemblyai.ts b/examples/assemblyai.ts
new file mode 100644
index 0000000000000000000000000000000000000000..d0333806349002eb500a241701c31b677fd67e87
--- /dev/null
+++ b/examples/assemblyai.ts
@@ -0,0 +1,60 @@
+import { program } from "commander";
+import { AudioTranscriptReader, CreateTranscriptParameters } from "llamaindex";
+import { stdin as input, stdout as output } from "node:process";
+// readline/promises is still experimental so not in @types/node yet
+// @ts-ignore
+import readline from "node:readline/promises";
+import { VectorStoreIndex } from "../../packages/core/src/indices";
+
+program
+ .option(
+ "-a, --audio-url [string]",
+ "URL or path of the audio file to transcribe",
+ )
+ .option("-i, --transcript-id [string]", "ID of the AssemblyAI transcript")
+ .action(async (options) => {
+ if (!process.env.ASSEMBLYAI_API_KEY) {
+ console.log("No ASSEMBLYAI_API_KEY found in environment variables.");
+ return;
+ }
+
+ const reader = new AudioTranscriptReader();
+ let params: CreateTranscriptParameters | string;
+ console.log(options);
+ if (options.audioUrl) {
+ params = {
+ audio_url: options.audioUrl,
+ };
+ } else if (options.transcriptId) {
+ params = options.transcriptId;
+ } else {
+ console.log(
+ "You must provide either an --audio-url or a --transcript-id",
+ );
+ return;
+ }
+
+ const documents = await reader.loadData(params);
+ console.log(documents);
+
+ // Split text and create embeddings. Store them in a VectorStoreIndex
+ const index = await VectorStoreIndex.fromDocuments(documents);
+
+ // Create query engine
+ const queryEngine = index.asQueryEngine();
+
+ const rl = readline.createInterface({ input, output });
+ while (true) {
+ const query = await rl.question("Ask a question: ");
+
+ if (!query) {
+ break;
+ }
+
+ const response = await queryEngine.query(query);
+
+ console.log(response.toString());
+ }
+ });
+
+program.parse();
diff --git a/examples/mongo.ts b/examples/mongo.ts
index cf32a0af8070a5c90237377b2fb3d095136c238d..5b5f735ffb3f0ada9906d29fc429afa10deedf4c 100644
--- a/examples/mongo.ts
+++ b/examples/mongo.ts
@@ -1,6 +1,6 @@
import { MongoClient } from "mongodb";
-import { VectorStoreIndex } from "../../packages/core/src/indices";
import { Document } from "../../packages/core/src/Node";
+import { VectorStoreIndex } from "../../packages/core/src/indices";
import { SimpleMongoReader } from "../../packages/core/src/readers/SimpleMongoReader";
import { stdin as input, stdout as output } from "node:process";
diff --git a/packages/core/package.json b/packages/core/package.json
index 3b6de230894dd1c3c973b474980b89d3f026ad96..db6e81e7242daa19ce95958550e1e1458a16b526 100644
--- a/packages/core/package.json
+++ b/packages/core/package.json
@@ -6,6 +6,7 @@
"@anthropic-ai/sdk": "^0.9.1",
"@notionhq/client": "^2.2.13",
"@xenova/transformers": "^2.8.0",
+ "assemblyai": "^3.0.1",
"crypto-js": "^4.2.0",
"js-tiktoken": "^1.0.8",
"lodash": "^4.17.21",
diff --git a/packages/core/src/embeddings/OpenAIEmbedding.ts b/packages/core/src/embeddings/OpenAIEmbedding.ts
index ecc2509a75b93226cb34e6ecb0a810bfc0b49a6b..106c6cbff294d49bf87d912676e3656339b1b4c8 100644
--- a/packages/core/src/embeddings/OpenAIEmbedding.ts
+++ b/packages/core/src/embeddings/OpenAIEmbedding.ts
@@ -6,7 +6,7 @@ import {
getAzureModel,
shouldUseAzure,
} from "../llm/azure";
-import { getOpenAISession, OpenAISession } from "../llm/openai";
+import { OpenAISession, getOpenAISession } from "../llm/openai";
import { BaseEmbedding } from "./types";
export enum OpenAIEmbeddingModelType {
diff --git a/packages/core/src/index.ts b/packages/core/src/index.ts
index a0d4b6d7551a18feefd6c5fbd0b326ec70c9b3af..c049a0710edd6b362be6784a3579850f3d1957c7 100644
--- a/packages/core/src/index.ts
+++ b/packages/core/src/index.ts
@@ -1,11 +1,6 @@
-export * from "./callbacks/CallbackManager";
export * from "./ChatEngine";
export * from "./ChatHistory";
-export * from "./constants";
-export * from "./embeddings";
export * from "./GlobalsHelper";
-export * from "./indices";
-export * from "./llm/LLM";
export * from "./Node";
export * from "./NodeParser";
export * from "./OutputParser";
@@ -13,7 +8,18 @@ export * from "./Prompt";
export * from "./PromptHelper";
export * from "./QueryEngine";
export * from "./QuestionGenerator";
-export * from "./readers/base";
+export * from "./Response";
+export * from "./ResponseSynthesizer";
+export * from "./Retriever";
+export * from "./ServiceContext";
+export * from "./TextSplitter";
+export * from "./Tool";
+export * from "./callbacks/CallbackManager";
+export * from "./constants";
+export * from "./embeddings";
+export * from "./indices";
+export * from "./llm/LLM";
+export * from "./readers/AssemblyAI";
export * from "./readers/CSVReader";
export * from "./readers/HTMLReader";
export * from "./readers/MarkdownReader";
@@ -21,10 +27,5 @@ export * from "./readers/NotionReader";
export * from "./readers/PDFReader";
export * from "./readers/SimpleDirectoryReader";
export * from "./readers/SimpleMongoReader";
-export * from "./Response";
-export * from "./ResponseSynthesizer";
-export * from "./Retriever";
-export * from "./ServiceContext";
+export * from "./readers/base";
export * from "./storage";
-export * from "./TextSplitter";
-export * from "./Tool";
diff --git a/packages/core/src/llm/LLM.ts b/packages/core/src/llm/LLM.ts
index ef505224aff529071212daa6bb7cffcdd0cbf901..7ebc7bca5333f2a182d1dfa2e90d6c5783ea69ab 100644
--- a/packages/core/src/llm/LLM.ts
+++ b/packages/core/src/llm/LLM.ts
@@ -12,9 +12,9 @@ import { ChatCompletionMessageParam } from "openai/resources";
import { LLMOptions } from "portkey-ai";
import { globalsHelper, Tokenizers } from "../GlobalsHelper";
import {
- AnthropicSession,
ANTHROPIC_AI_PROMPT,
ANTHROPIC_HUMAN_PROMPT,
+ AnthropicSession,
getAnthropicSession,
} from "./anthropic";
import {
diff --git a/packages/core/src/readers/AssemblyAI.ts b/packages/core/src/readers/AssemblyAI.ts
new file mode 100644
index 0000000000000000000000000000000000000000..6eea143bb0c529cb47b2aa4c9572417b975bdf6a
--- /dev/null
+++ b/packages/core/src/readers/AssemblyAI.ts
@@ -0,0 +1,148 @@
+import {
+ AssemblyAI,
+ BaseServiceParams,
+ CreateTranscriptParameters,
+ SubtitleFormat,
+ TranscriptParagraph,
+ TranscriptSentence,
+} from "assemblyai";
+import { Document } from "../Node";
+import { BaseReader } from "./base";
+
+type AssemblyAIOptions = Partial<BaseServiceParams>;
+
+/**
+ * Base class for AssemblyAI Readers.
+ */
+abstract class AssemblyAIReader implements BaseReader {
+ protected client: AssemblyAI;
+
+ /**
+ * Creates a new AssemblyAI Reader.
+ * @param assemblyAIOptions The options to configure the AssemblyAI Reader.
+ * Configure the `assemblyAIOptions.apiKey` with your AssemblyAI API key, or configure it as the `ASSEMBLYAI_API_KEY` environment variable.
+ */
+ constructor(assemblyAIOptions?: AssemblyAIOptions) {
+ let options = assemblyAIOptions;
+ if (!options) {
+ options = {};
+ }
+ if (!options.apiKey) {
+ options.apiKey = process.env.ASSEMBLYAI_API_KEY;
+ }
+ if (!options.apiKey) {
+ throw new Error("No AssemblyAI API key provided. Pass an `apiKey` option, or configure the `ASSEMBLYAI_API_KEY` environment variable.");
+ }
+
+ this.client = new AssemblyAI(options as BaseServiceParams);
+ }
+
+ abstract loadData(...args: any[]): Promise<Document[]>;
+
+ protected async getOrCreateTranscript(params: CreateTranscriptParameters | string) {
+ if (typeof params === "string") {
+ return await this.client.transcripts.get(params);
+ }
+ else {
+ return await this.client.transcripts.create(params);
+ }
+ }
+
+ protected async getTranscriptId(params: CreateTranscriptParameters | string) {
+ if (typeof params === "string") {
+ return params;
+ }
+ else {
+ return (await this.client.transcripts.create(params)).id;
+ }
+ }
+}
+
+/**
+ * Creates and reads the transcript as a document using AssemblyAI.
+ */
+class AudioTranscriptReader extends AssemblyAIReader {
+ /**
+ * Creates or gets a transcript and loads the transcript as a document using AssemblyAI.
+ * @param params The parameters to create or get the transcript.
+ * @returns A promise that resolves to a single document containing the transcript text.
+ */
+ async loadData(params: CreateTranscriptParameters | string): Promise<Document[]> {
+ const transcript = await this.getOrCreateTranscript(params);
+ return [
+ new Document({ text: transcript.text || undefined }),
+ ];
+ }
+}
+
+/**
+ * Creates a transcript and returns a document for each paragraph.
+ */
+class AudioTranscriptParagraphsReader extends AssemblyAIReader {
+ /**
+ * Creates or gets a transcript, and returns a document for each paragraph.
+ * @param params The parameters to create or get the transcript.
+ * @returns A promise that resolves to an array of documents, each containing a paragraph of the transcript.
+ */
+ async loadData(params: CreateTranscriptParameters | string): Promise<Document[]> {
+ let transcriptId = await this.getTranscriptId(params);
+ const paragraphsResponse = await this.client.transcripts.paragraphs(
+ transcriptId
+ );
+ return paragraphsResponse.paragraphs.map((p: TranscriptParagraph) =>
+ new Document({ text: p.text }),
+ );
+ }
+}
+
+/**
+ * Creates a transcript and returns a document for each sentence.
+ */
+class AudioTranscriptSentencesReader extends AssemblyAIReader {
+ /**
+ * Creates or gets a transcript, and returns a document for each sentence.
+ * @param params The parameters to create or get the transcript.
+ * @returns A promise that resolves to an array of documents, each containing a sentence of the transcript.
+ */
+ async loadData(params: CreateTranscriptParameters | string): Promise<Document[]> {
+ let transcriptId = await this.getTranscriptId(params);
+ const sentencesResponse = await this.client.transcripts.sentences(
+ transcriptId
+ );
+ return sentencesResponse.sentences.map((p: TranscriptSentence) =>
+ new Document({ text: p.text }),
+ );
+ }
+}
+
+/**
+ * Creates a transcript and reads subtitles for the transcript as `srt` or `vtt` format.
+ */
+class AudioSubtitlesReader extends AssemblyAIReader {
+ /**
+ * Creates or gets a transcript and reads subtitles for the transcript as `srt` or `vtt` format.
+ * @param params The parameters to create or get the transcript.
+ * @param subtitleFormat The format of the subtitles, either `srt` or `vtt`.
+ * @returns A promise that resolves a document containing the subtitles as the page content.
+ */
+ async loadData(
+ params: CreateTranscriptParameters | string,
+ subtitleFormat: SubtitleFormat = 'srt'
+ ): Promise<Document[]> {
+ let transcriptId = await this.getTranscriptId(params);
+ const subtitles = await this.client.transcripts.subtitles(transcriptId, subtitleFormat);
+ return [new Document({ text: subtitles })];
+ }
+}
+
+export {
+ AudioTranscriptReader,
+ AudioTranscriptParagraphsReader,
+ AudioTranscriptSentencesReader,
+ AudioSubtitlesReader,
+}
+export type {
+ AssemblyAIOptions,
+ CreateTranscriptParameters,
+ SubtitleFormat
+}
diff --git a/packages/core/src/storage/index.ts b/packages/core/src/storage/index.ts
index 14f8a1ac137f4e7c87560671dae6b856ae6b8287..96f8743be6e564594ba4c1d662d536d8f33a6edc 100644
--- a/packages/core/src/storage/index.ts
+++ b/packages/core/src/storage/index.ts
@@ -1,12 +1,12 @@
+export * from "./FileSystem";
+export * from "./StorageContext";
export * from "./constants";
export { SimpleDocumentStore } from "./docStore/SimpleDocumentStore";
export * from "./docStore/types";
-export * from "./FileSystem";
export { SimpleIndexStore } from "./indexStore/SimpleIndexStore";
export * from "./indexStore/types";
export { SimpleKVStore } from "./kvStore/SimpleKVStore";
export * from "./kvStore/types";
-export * from "./StorageContext";
export { MongoDBAtlasVectorSearch } from "./vectorStore/MongoDBAtlasVectorStore";
export { SimpleVectorStore } from "./vectorStore/SimpleVectorStore";
export * from "./vectorStore/types";
diff --git a/packages/core/src/storage/vectorStore/PGVectorStore.ts b/packages/core/src/storage/vectorStore/PGVectorStore.ts
index 59cf8d461528c2e9fc6593a657b8503da6a1336a..f116f10347a1a3e34013638c9f9edc515d99b130 100644
--- a/packages/core/src/storage/vectorStore/PGVectorStore.ts
+++ b/packages/core/src/storage/vectorStore/PGVectorStore.ts
@@ -1,25 +1,21 @@
-import pg from 'pg';
-import pgvector from 'pgvector/pg';
+import pg from "pg";
+import pgvector from "pgvector/pg";
-import {
- VectorStore,
- VectorStoreQuery,
- VectorStoreQueryResult,
-} from "./types";
+import { VectorStore, VectorStoreQuery, VectorStoreQueryResult } from "./types";
-import { BaseNode, Document, Metadata, MetadataMode } from '../../Node';
-import { GenericFileSystem } from '../FileSystem';
+import { BaseNode, Document, Metadata, MetadataMode } from "../../Node";
+import { GenericFileSystem } from "../FileSystem";
-export const PGVECTOR_SCHEMA = 'public';
-export const PGVECTOR_TABLE = 'llamaindex_embedding';
+export const PGVECTOR_SCHEMA = "public";
+export const PGVECTOR_TABLE = "llamaindex_embedding";
/**
- * Provides support for writing and querying vector data in Postgres.
+ * Provides support for writing and querying vector data in Postgres.
*/
export class PGVectorStore implements VectorStore {
storesText: boolean = true;
- private collection: string = '';
+ private collection: string = "";
/*
FROM pg LIBRARY:
@@ -66,8 +62,7 @@ export class PGVectorStore implements VectorStore {
}
private async getDb(): Promise<pg.Client> {
- if (! this.db) {
-
+ if (!this.db) {
try {
// Create DB connection
// Read connection params from env - see comment block above
@@ -83,7 +78,6 @@ export class PGVectorStore implements VectorStore {
// All good? Keep the connection reference
this.db = db;
-
} catch (err: any) {
console.error(err);
return Promise.reject(err);
@@ -95,7 +89,7 @@ export class PGVectorStore implements VectorStore {
private async checkSchema(db: pg.Client) {
await db.query(`CREATE SCHEMA IF NOT EXISTS ${PGVECTOR_SCHEMA}`);
-
+
const tbl = `CREATE TABLE IF NOT EXISTS ${PGVECTOR_SCHEMA}.${PGVECTOR_TABLE}(
id uuid DEFAULT gen_random_uuid() PRIMARY KEY,
external_id VARCHAR,
@@ -135,7 +129,7 @@ export class PGVectorStore implements VectorStore {
const sql: string = `DELETE FROM ${PGVECTOR_SCHEMA}.${PGVECTOR_TABLE}
WHERE collection = $1`;
- const db = await this.getDb() as pg.Client;
+ const db = (await this.getDb()) as pg.Client;
const ret = await db.query(sql, [this.collection]);
return ret;
@@ -148,28 +142,27 @@ export class PGVectorStore implements VectorStore {
* @returns A list of zero or more id values for the created records.
*/
async add(embeddingResults: BaseNode<Metadata>[]): Promise<string[]> {
-
const sql: string = `INSERT INTO ${PGVECTOR_SCHEMA}.${PGVECTOR_TABLE}
(id, external_id, collection, document, metadata, embeddings)
VALUES ($1, $2, $3, $4, $5, $6)`;
- const db = await this.getDb() as pg.Client;
+ const db = (await this.getDb()) as pg.Client;
let ret: string[] = [];
for (let index = 0; index < embeddingResults.length; index++) {
const row = embeddingResults[index];
- let id: any = row.id_.length? row.id_: null;
+ let id: any = row.id_.length ? row.id_ : null;
let meta = row.metadata || {};
meta.create_date = new Date();
const params = [
id,
- '',
+ "",
this.collection,
row.getContent(MetadataMode.EMBED),
- meta,
- '[' + row.getEmbedding().join(',') + ']'
+ meta,
+ "[" + row.getEmbedding().join(",") + "]",
];
try {
@@ -180,7 +173,7 @@ export class PGVectorStore implements VectorStore {
ret.push(id);
}
} catch (err) {
- const msg = `${ err }`;
+ const msg = `${err}`;
console.log(msg, err);
}
}
@@ -196,12 +189,16 @@ export class PGVectorStore implements VectorStore {
* @returns Promise that resolves if the delete query did not throw an error.
*/
async delete(refDocId: string, deleteKwargs?: any): Promise<void> {
- const collectionCriteria = this.collection.length ? "AND collection = $2": "";
+ const collectionCriteria = this.collection.length
+ ? "AND collection = $2"
+ : "";
const sql: string = `DELETE FROM ${PGVECTOR_SCHEMA}.${PGVECTOR_TABLE}
- WHERE id = $1 ${ collectionCriteria }`;
+ WHERE id = $1 ${collectionCriteria}`;
- const db = await this.getDb() as pg.Client;
- const params = this.collection.length ? [refDocId, this.collection] : [refDocId];
+ const db = (await this.getDb()) as pg.Client;
+ const params = this.collection.length
+ ? [refDocId, this.collection]
+ : [refDocId];
await db.query(sql, params);
return Promise.resolve();
}
@@ -212,45 +209,43 @@ export class PGVectorStore implements VectorStore {
* @param options Required by VectorStore interface. Currently ignored.
* @returns Zero or more Document instances with data from the vector store.
*/
- async query(query: VectorStoreQuery, options?: any): Promise<VectorStoreQueryResult> {
+ async query(
+ query: VectorStoreQuery,
+ options?: any,
+ ): Promise<VectorStoreQueryResult> {
// TODO QUERY TYPES:
// Distance: SELECT embedding <-> $1 AS distance FROM items;
// Inner Product: SELECT (embedding <#> $1) * -1 AS inner_product FROM items;
// Cosine Sim: SELECT 1 - (embedding <=> $1) AS cosine_similarity FROM items;
- const embedding = '[' + query.queryEmbedding?.join(',') + ']';
+ const embedding = "[" + query.queryEmbedding?.join(",") + "]";
const max = query.similarityTopK ?? 2;
- const where = this.collection.length ? "WHERE collection = $2": "";
+ const where = this.collection.length ? "WHERE collection = $2" : "";
// TODO Add collection filter if set
const sql = `SELECT * FROM ${PGVECTOR_SCHEMA}.${PGVECTOR_TABLE}
- ${ where }
- ORDER BY embeddings <-> $1 LIMIT ${ max }
+ ${where}
+ ORDER BY embeddings <-> $1 LIMIT ${max}
`;
- const db = await this.getDb() as pg.Client;
- const params = this.collection.length ?
- [embedding, this.collection] : [ embedding]
+ const db = (await this.getDb()) as pg.Client;
+ const params = this.collection.length
+ ? [embedding, this.collection]
+ : [embedding];
const results = await db.query(sql, params);
- const nodes = results.rows.map(
- (row) => {
- return new Document({
- id_: row.id,
- text: row.document,
- metadata: row.metadata,
- embedding: row.embeddings
- })
- }
- );
+ const nodes = results.rows.map((row) => {
+ return new Document({
+ id_: row.id,
+ text: row.document,
+ metadata: row.metadata,
+ embedding: row.embeddings,
+ });
+ });
const ret = {
nodes: nodes,
- similarities: results.rows.map(
- (row) => row.embeddings
- ),
- ids: results.rows.map(
- (row) => row.id
- )
+ similarities: results.rows.map((row) => row.embeddings),
+ ids: results.rows.map((row) => row.id),
};
return Promise.resolve(ret);
@@ -258,11 +253,14 @@ export class PGVectorStore implements VectorStore {
/**
* Required by VectorStore interface. Currently ignored.
- * @param persistPath
- * @param fs
+ * @param persistPath
+ * @param fs
* @returns Resolved Promise.
*/
- persist(persistPath: string, fs?: GenericFileSystem | undefined): Promise<void> {
+ persist(
+ persistPath: string,
+ fs?: GenericFileSystem | undefined,
+ ): Promise<void> {
return Promise.resolve();
}
-}
\ No newline at end of file
+}
diff --git a/packages/core/src/storage/vectorStore/SimpleVectorStore.ts b/packages/core/src/storage/vectorStore/SimpleVectorStore.ts
index f314510a32f884bcfd3bd31b2bbf7fcc97931101..929ebe2c24b3cf9b7cc074902280d89785651b0d 100644
--- a/packages/core/src/storage/vectorStore/SimpleVectorStore.ts
+++ b/packages/core/src/storage/vectorStore/SimpleVectorStore.ts
@@ -1,13 +1,13 @@
import _ from "lodash";
import * as path from "path";
+import { BaseNode } from "../../Node";
import {
getTopKEmbeddings,
getTopKEmbeddingsLearner,
getTopKMMREmbeddings,
} from "../../embeddings";
-import { BaseNode } from "../../Node";
+import { GenericFileSystem, exists } from "../FileSystem";
import { DEFAULT_FS, DEFAULT_PERSIST_DIR } from "../constants";
-import { exists, GenericFileSystem } from "../FileSystem";
import {
VectorStore,
VectorStoreQuery,
diff --git a/packages/eslint-config-custom/index.js b/packages/eslint-config-custom/index.js
index 142321257509d7748ce9de170d9cae31406ba968..8417c5e6d90aef30254fec90a19fbb1d347ed4f1 100644
--- a/packages/eslint-config-custom/index.js
+++ b/packages/eslint-config-custom/index.js
@@ -9,6 +9,7 @@ module.exports = {
"OPENAI_API_KEY",
"REPLICATE_API_TOKEN",
"ANTHROPIC_API_KEY",
+ "ASSEMBLYAI_API_KEY",
"AZURE_OPENAI_KEY",
"AZURE_OPENAI_ENDPOINT",
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index c45482b6d8f626a3798ed38165f85c3d4e73e2e5..7b8fa48c4e4b4ce819d245eb0e2a17ebdb617073 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -17,7 +17,7 @@ importers:
version: 2.26.2
'@turbo/gen':
specifier: ^1.10.16
- version: 1.10.16(@types/node@18.18.12)(typescript@4.9.5)
+ version: 1.10.16(@types/node@18.18.12)(typescript@5.3.2)
'@types/jest':
specifier: ^29.5.10
version: 29.5.10
@@ -41,10 +41,10 @@ importers:
version: 3.1.0
prettier-plugin-organize-imports:
specifier: ^3.2.4
- version: 3.2.4(prettier@3.1.0)(typescript@4.9.5)
+ version: 3.2.4(prettier@3.1.0)(typescript@5.3.2)
ts-jest:
specifier: ^29.1.1
- version: 29.1.1(@babel/core@7.23.3)(jest@29.7.0)(typescript@4.9.5)
+ version: 29.1.1(@babel/core@7.23.3)(jest@29.7.0)(typescript@5.3.2)
turbo:
specifier: ^1.10.16
version: 1.10.16
@@ -121,7 +121,7 @@ importers:
version: 18.18.8
ts-node:
specifier: ^10.9.1
- version: 10.9.1(@types/node@18.18.8)(typescript@4.9.5)
+ version: 10.9.1(@types/node@18.18.8)(typescript@5.3.2)
apps/simple:
dependencies:
@@ -143,7 +143,7 @@ importers:
version: 18.18.7
ts-node:
specifier: ^10.9.1
- version: 10.9.1(@types/node@18.18.7)(typescript@4.9.5)
+ version: 10.9.1(@types/node@18.18.7)(typescript@5.3.2)
packages/core:
dependencies:
@@ -156,6 +156,9 @@ importers:
'@xenova/transformers':
specifier: ^2.8.0
version: 2.8.0
+ assemblyai:
+ specifier: ^3.0.1
+ version: 3.1.1
crypto-js:
specifier: ^4.2.0
version: 4.2.0
@@ -315,7 +318,7 @@ importers:
dependencies:
eslint-config-next:
specifier: ^13.4.1
- version: 13.4.1(eslint@8.54.0)(typescript@4.9.5)
+ version: 13.4.1(eslint@8.54.0)(typescript@5.3.2)
eslint-config-prettier:
specifier: ^8.3.0
version: 8.8.0(eslint@8.54.0)
@@ -4141,7 +4144,7 @@ packages:
resolution: {integrity: sha512-vxhUy4J8lyeyinH7Azl1pdd43GJhZH/tP2weN8TntQblOY+A0XbT8DJk1/oCPuOOyg/Ja757rG0CgHcWC8OfMA==}
dev: true
- /@turbo/gen@1.10.16(@types/node@18.18.12)(typescript@4.9.5):
+ /@turbo/gen@1.10.16(@types/node@18.18.12)(typescript@5.3.2):
resolution: {integrity: sha512-PzyluADjVuy5OcIi+/aRcD70OElQpRVRDdfZ9fH8G5Fv75lQcNrjd1bBGKmhjSw+g+eTEkXMGnY7s6gsCYjYTQ==}
hasBin: true
dependencies:
@@ -4153,7 +4156,7 @@ packages:
minimatch: 9.0.3
node-plop: 0.26.3
proxy-agent: 6.3.1
- ts-node: 10.9.1(@types/node@18.18.12)(typescript@4.9.5)
+ ts-node: 10.9.1(@types/node@18.18.12)(typescript@5.3.2)
update-check: 1.5.4
validate-npm-package-name: 5.0.0
transitivePeerDependencies:
@@ -4674,7 +4677,7 @@ packages:
dependencies:
'@types/yargs-parser': 21.0.3
- /@typescript-eslint/parser@5.59.2(eslint@8.54.0)(typescript@4.9.5):
+ /@typescript-eslint/parser@5.59.2(eslint@8.54.0)(typescript@5.3.2):
resolution: {integrity: sha512-uq0sKyw6ao1iFOZZGk9F8Nro/8+gfB5ezl1cA06SrqbgJAt0SRoFhb9pXaHvkrxUpZaoLxt8KlovHNk8Gp6/HQ==}
engines: {node: ^12.22.0 || ^14.17.0 || >=16.0.0}
peerDependencies:
@@ -4686,10 +4689,10 @@ packages:
dependencies:
'@typescript-eslint/scope-manager': 5.59.2
'@typescript-eslint/types': 5.59.2
- '@typescript-eslint/typescript-estree': 5.59.2(typescript@4.9.5)
+ '@typescript-eslint/typescript-estree': 5.59.2(typescript@5.3.2)
debug: 4.3.4
eslint: 8.54.0
- typescript: 4.9.5
+ typescript: 5.3.2
transitivePeerDependencies:
- supports-color
dev: false
@@ -4707,7 +4710,7 @@ packages:
engines: {node: ^12.22.0 || ^14.17.0 || >=16.0.0}
dev: false
- /@typescript-eslint/typescript-estree@5.59.2(typescript@4.9.5):
+ /@typescript-eslint/typescript-estree@5.59.2(typescript@5.3.2):
resolution: {integrity: sha512-+j4SmbwVmZsQ9jEyBMgpuBD0rKwi9RxRpjX71Brr73RsYnEr3Lt5QZ624Bxphp8HUkSKfqGnPJp1kA5nl0Sh7Q==}
engines: {node: ^12.22.0 || ^14.17.0 || >=16.0.0}
peerDependencies:
@@ -4722,8 +4725,8 @@ packages:
globby: 11.1.0
is-glob: 4.0.3
semver: 7.5.4
- tsutils: 3.21.0(typescript@4.9.5)
- typescript: 4.9.5
+ tsutils: 3.21.0(typescript@5.3.2)
+ typescript: 5.3.2
transitivePeerDependencies:
- supports-color
dev: false
@@ -5200,6 +5203,15 @@ packages:
safer-buffer: 2.1.2
dev: true
+ /assemblyai@3.1.1:
+ resolution: {integrity: sha512-rEhLnIZU7TupOkdzN9WjxhVU5bxMVofkNslzTArsuilaqOusPUmh6I7SGcJCGwKKE8qEweBaoY4DZ03cxv4KoA==}
+ dependencies:
+ ws: 8.14.2
+ transitivePeerDependencies:
+ - bufferutil
+ - utf-8-validate
+ dev: false
+
/assert@2.1.0:
resolution: {integrity: sha512-eLHpSK/Y4nhMJ07gDaAzoX/XAKS8PSaojml3M0DM4JpV1LAi5JOJ/p6H/XWrl8L+DzVEvVCW1z3vWAaB9oTsQw==}
dependencies:
@@ -7549,7 +7561,7 @@ packages:
source-map: 0.6.1
dev: true
- /eslint-config-next@13.4.1(eslint@8.54.0)(typescript@4.9.5):
+ /eslint-config-next@13.4.1(eslint@8.54.0)(typescript@5.3.2):
resolution: {integrity: sha512-ajuxjCkW1hvirr0EQZb3/B/bFH52Z7CT89uCtTcICFL9l30i5c8hN4p0LXvTjdOXNPV5fEDcxBgGHgXdzTj1/A==}
peerDependencies:
eslint: ^7.23.0 || ^8.0.0
@@ -7560,7 +7572,7 @@ packages:
dependencies:
'@next/eslint-plugin-next': 13.4.1
'@rushstack/eslint-patch': 1.2.0
- '@typescript-eslint/parser': 5.59.2(eslint@8.54.0)(typescript@4.9.5)
+ '@typescript-eslint/parser': 5.59.2(eslint@8.54.0)(typescript@5.3.2)
eslint: 8.54.0
eslint-import-resolver-node: 0.3.7
eslint-import-resolver-typescript: 3.5.5(@typescript-eslint/parser@5.59.2)(eslint-import-resolver-node@0.3.7)(eslint-plugin-import@2.27.5)(eslint@8.54.0)
@@ -7568,7 +7580,7 @@ packages:
eslint-plugin-jsx-a11y: 6.7.1(eslint@8.54.0)
eslint-plugin-react: 7.32.2(eslint@8.54.0)
eslint-plugin-react-hooks: 4.6.0(eslint@8.54.0)
- typescript: 4.9.5
+ typescript: 5.3.2
transitivePeerDependencies:
- eslint-import-resolver-webpack
- supports-color
@@ -7647,7 +7659,7 @@ packages:
eslint-import-resolver-webpack:
optional: true
dependencies:
- '@typescript-eslint/parser': 5.59.2(eslint@8.54.0)(typescript@4.9.5)
+ '@typescript-eslint/parser': 5.59.2(eslint@8.54.0)(typescript@5.3.2)
debug: 3.2.7
eslint: 8.54.0
eslint-import-resolver-node: 0.3.7
@@ -7666,7 +7678,7 @@ packages:
'@typescript-eslint/parser':
optional: true
dependencies:
- '@typescript-eslint/parser': 5.59.2(eslint@8.54.0)(typescript@4.9.5)
+ '@typescript-eslint/parser': 5.59.2(eslint@8.54.0)(typescript@5.3.2)
array-includes: 3.1.6
array.prototype.flat: 1.3.1
array.prototype.flatmap: 1.3.1
@@ -12514,7 +12526,7 @@ packages:
engines: {node: '>=4'}
dev: false
- /prettier-plugin-organize-imports@3.2.4(prettier@3.1.0)(typescript@4.9.5):
+ /prettier-plugin-organize-imports@3.2.4(prettier@3.1.0)(typescript@5.3.2):
resolution: {integrity: sha512-6m8WBhIp0dfwu0SkgfOxJqh+HpdyfqSSLfKKRZSFbDuEQXDDndb8fTpRWkUrX/uBenkex3MgnVk0J3b3Y5byog==}
peerDependencies:
'@volar/vue-language-plugin-pug': ^1.0.4
@@ -12528,7 +12540,7 @@ packages:
optional: true
dependencies:
prettier: 3.1.0
- typescript: 4.9.5
+ typescript: 5.3.2
dev: true
/prettier@2.8.8:
@@ -14681,7 +14693,7 @@ packages:
resolution: {integrity: sha512-Y/arvbn+rrz3JCKl9C4kVNfTfSm2/mEp5FSz5EsZSANGPSlQrpRI5M4PKF+mJnE52jOO90PnPSc3Ur3bTQw0gA==}
dev: true
- /ts-jest@29.1.1(@babel/core@7.23.3)(jest@29.7.0)(typescript@4.9.5):
+ /ts-jest@29.1.1(@babel/core@7.23.3)(jest@29.7.0)(typescript@5.3.2):
resolution: {integrity: sha512-D6xjnnbP17cC85nliwGiL+tpoKN0StpgE0TeOjXQTU6MVCfsB4v7aW05CgQ/1OywGb0x/oy9hHFnN+sczTiRaA==}
engines: {node: ^14.15.0 || ^16.10.0 || >=18.0.0}
hasBin: true
@@ -14711,11 +14723,11 @@ packages:
lodash.memoize: 4.1.2
make-error: 1.3.6
semver: 7.5.4
- typescript: 4.9.5
+ typescript: 5.3.2
yargs-parser: 21.1.1
dev: true
- /ts-node@10.9.1(@types/node@18.18.12)(typescript@4.9.5):
+ /ts-node@10.9.1(@types/node@18.18.12)(typescript@5.3.2):
resolution: {integrity: sha512-NtVysVPkxxrwFGUUxGYhfux8k78pQB3JqYBXlLRZgdGUqTO5wU/UyHop5p70iEbGhB7q5KmiZiU0Y3KlJrScEw==}
hasBin: true
peerDependencies:
@@ -14741,12 +14753,12 @@ packages:
create-require: 1.1.1
diff: 4.0.2
make-error: 1.3.6
- typescript: 4.9.5
+ typescript: 5.3.2
v8-compile-cache-lib: 3.0.1
yn: 3.1.1
dev: true
- /ts-node@10.9.1(@types/node@18.18.7)(typescript@4.9.5):
+ /ts-node@10.9.1(@types/node@18.18.7)(typescript@5.3.2):
resolution: {integrity: sha512-NtVysVPkxxrwFGUUxGYhfux8k78pQB3JqYBXlLRZgdGUqTO5wU/UyHop5p70iEbGhB7q5KmiZiU0Y3KlJrScEw==}
hasBin: true
peerDependencies:
@@ -14772,12 +14784,12 @@ packages:
create-require: 1.1.1
diff: 4.0.2
make-error: 1.3.6
- typescript: 4.9.5
+ typescript: 5.3.2
v8-compile-cache-lib: 3.0.1
yn: 3.1.1
dev: true
- /ts-node@10.9.1(@types/node@18.18.8)(typescript@4.9.5):
+ /ts-node@10.9.1(@types/node@18.18.8)(typescript@5.3.2):
resolution: {integrity: sha512-NtVysVPkxxrwFGUUxGYhfux8k78pQB3JqYBXlLRZgdGUqTO5wU/UyHop5p70iEbGhB7q5KmiZiU0Y3KlJrScEw==}
hasBin: true
peerDependencies:
@@ -14803,7 +14815,7 @@ packages:
create-require: 1.1.1
diff: 4.0.2
make-error: 1.3.6
- typescript: 4.9.5
+ typescript: 5.3.2
v8-compile-cache-lib: 3.0.1
yn: 3.1.1
dev: true
@@ -14863,14 +14875,14 @@ packages:
- ts-node
dev: true
- /tsutils@3.21.0(typescript@4.9.5):
+ /tsutils@3.21.0(typescript@5.3.2):
resolution: {integrity: sha512-mHKK3iUXL+3UF6xL5k0PEhKRUBKPBCv/+RkEOpjRWxxx27KKRBmmA60A9pgOUvMi8GKhRMPEmjBRPzs2W7O1OA==}
engines: {node: '>= 6'}
peerDependencies:
typescript: '>=2.8.0 || >= 3.2.0-dev || >= 3.3.0-dev || >= 3.4.0-dev || >= 3.5.0-dev || >= 3.6.0-dev || >= 3.6.0-beta || >= 3.7.0-dev || >= 3.7.0-beta'
dependencies:
tslib: 1.14.1
- typescript: 4.9.5
+ typescript: 5.3.2
dev: false
/tty-browserify@0.0.1:
@@ -15090,7 +15102,6 @@ packages:
resolution: {integrity: sha512-6l+RyNy7oAHDfxC4FzSJcz9vnjTKxrLpDG5M2Vu4SHRVNg6xzqZp6LYSR9zjqQTu8DU/f5xwxUdADOkbrIX2gQ==}
engines: {node: '>=14.17'}
hasBin: true
- dev: true
/ua-parser-js@1.0.36:
resolution: {integrity: sha512-znuyCIXzl8ciS3+y3fHJI/2OhQIXbXw9MWC/o3qwyR+RGppjZHrM27CGFSKCJXi2Kctiz537iOu2KnXs1lMQhw==}