@langchain/google-common - npm Package Compare versions

Comparing version 0.0.24 to 0.0.25

dist/chat_models.d.ts

		@@ -28,3 +28,3 @@ import { type BaseMessage } from "@langchain/core/messages";
		/**
		* Integration with a chat model.
		* Integration with a Google chat model.
		*/
		@@ -31,0 +31,0 @@ export declare abstract class ChatGoogleBase<AuthOptions> extends BaseChatModel<GoogleAIBaseLanguageModelCallOptions, AIMessageChunk> implements ChatGoogleBaseInput<AuthOptions> {

dist/chat_models.js

		@@ -98,3 +98,3 @@ import { getEnvironmentVariable } from "@langchain/core/utils/env";
		/**
		* Integration with a chat model.
		* Integration with a Google chat model.
		*/
		@@ -101,0 +101,0 @@ export class ChatGoogleBase extends BaseChatModel {

dist/embeddings.d.ts

		@@ -45,22 +45,4 @@ import { Embeddings, EmbeddingsParams } from "@langchain/core/embeddings";
		/**
		* Enables calls to the Google Cloud's Vertex AI API to access
		* the embeddings generated by Large Language Models.
		*
		* To use, you will need to have one of the following authentication
		* methods in place:
		* - You are logged into an account permitted to the Google Cloud project
		* using Vertex AI.
		* - You are running this on a machine using a service account permitted to
		* the Google Cloud project using Vertex AI.
		* - The `GOOGLE_APPLICATION_CREDENTIALS` environment variable is set to the
		* path of a credentials file for a service account permitted to the
		* Google Cloud project using Vertex AI.
		* @example
		* ```typescript
		* const model = new GoogleEmbeddings();
		* const res = await model.embedQuery(
		* "What would be a good company name for a company that makes colorful socks?"
		* );
		* console.log({ res });
		* ```
		* Enables calls to Google APIs for generating
		* text embeddings.
		*/
		@@ -67,0 +49,0 @@ export declare abstract class BaseGoogleEmbeddings<AuthOptions> extends Embeddings implements BaseGoogleEmbeddingsParams<AuthOptions> {

dist/embeddings.js

		@@ -27,22 +27,4 @@ import { Embeddings } from "@langchain/core/embeddings";
		/**
		* Enables calls to the Google Cloud's Vertex AI API to access
		* the embeddings generated by Large Language Models.
		*
		* To use, you will need to have one of the following authentication
		* methods in place:
		* - You are logged into an account permitted to the Google Cloud project
		* using Vertex AI.
		* - You are running this on a machine using a service account permitted to
		* the Google Cloud project using Vertex AI.
		* - The `GOOGLE_APPLICATION_CREDENTIALS` environment variable is set to the
		* path of a credentials file for a service account permitted to the
		* Google Cloud project using Vertex AI.
		* @example
		* ```typescript
		* const model = new GoogleEmbeddings();
		* const res = await model.embedQuery(
		* "What would be a good company name for a company that makes colorful socks?"
		* );
		* console.log({ res });
		* ```
		* Enables calls to Google APIs for generating
		* text embeddings.
		*/
		@@ -49,0 +31,0 @@ export class BaseGoogleEmbeddings extends Embeddings {

package.json

		{
		"name": "@langchain/google-common",
		"version": "0.0.24",
		"version": "0.0.25",
		"description": "Core types and classes for Google services.",
		@@ -5,0 +5,0 @@ "type": "module",

dist/chat_models.cjs

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dist/embeddings.cjs

Sorry, the diff of this file is not supported yet

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