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Releasing version 2.102.1
Releasing version 2.102.1
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‎CHANGELOG.md

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‎examples/typescript/generative-ai-chat-with-cohere.ts

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/**
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* Copyright (c) 2020, 2021 Oracle and/or its affiliates. All rights reserved.
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* This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
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*/
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/*
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* This example demonstrates to get a response for the given conversation with Cohere llm.
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* In order to run this example, this code must be in an Oracle Cloud instance.
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*/
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import { GenerativeAiInferenceClient, models, requests } from "oci-generativeaiinference";
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import {
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SessionAuthDetailProvider,
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NoRetryConfigurationDetails
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} from "oci-common";
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// TODO: Please update config profile name and use the compartmentId that has policies grant permissions for using Generative AI Service
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const CONFIG_LOCATION = "~/.oci/config";
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const CONFIG_PROFILE = "DEFAULT";
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const COMPARTMENT_ID = ""; // Fill-in with compartment Id with access to generative AI API
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(async () => {
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// Configuring the AuthenticationDetailsProvider. It's assuming there is a default OCI config file "~/.oci/config", and
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// a profile in that config with the name defined in CONFIG_PROFILE variable.
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const provider = new SessionAuthDetailProvider(CONFIG_LOCATION, CONFIG_PROFILE)
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provider.setRegion("us-chicago-1");
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const client = new GenerativeAiInferenceClient({
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authenticationDetailsProvider: provider,
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}
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);
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// On Demand Serving Mode
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// Check a list of pretrained Cohere Chat Models availability in different regions:
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// https://docs.oracle.com/en-us/iaas/Content/generative-ai/pretrained-models.htm#pretrained-models
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const servingMode: models.OnDemandServingMode = {
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modelId: "cohere.command-r-08-2024",
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servingType: "ON_DEMAND",
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};
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// Dedicated Serving Mode
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// const servingMode: models.DedicatedServingMode = {
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// endpointId: "", // Fill-in with endpoint Id, if you have active Dedicated AI cluster resource
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// servingType: "DEDICATED",
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// };
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// Chat Details
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const chatRequest: requests.ChatRequest = {
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chatDetails: {
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compartmentId: COMPARTMENT_ID,
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servingMode: servingMode,
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chatRequest: {
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message: "As a corporate vice president, generate an email congratulating a team that has just shipped a new cloud service. Emphasize the great positive impact the new service will have on the productivity of their customers.",
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apiFormat: "COHERE",
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maxTokens: 600,
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temperature: 0,
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frequencyPenalty: 1,
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presencePenalty: 0,
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topP: 0.75,
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topK: 0,
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seed: 0,
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}
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},
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retryConfiguration: NoRetryConfigurationDetails
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};
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const chatResponse = await client.chat(chatRequest);
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// Print chat response
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console.log("**************************Chat Response**************************");
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console.log(JSON.stringify(chatResponse));
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})();

‎examples/typescript/generative-ai-chat-with-llama.ts

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/**
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* Copyright (c) 2020, 2021 Oracle and/or its affiliates. All rights reserved.
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* This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
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*/
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/*
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* This example demonstrates to get a response for the given conversation with Meta Llama Models llm.
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* In order to run this example, this code must be in an Oracle Cloud instance.
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*/
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import { GenerativeAiInferenceClient, models, requests } from "oci-generativeaiinference";
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import {
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SessionAuthDetailProvider,
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NoRetryConfigurationDetails
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} from "oci-common";
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// TODO: Please update config profile name and use the compartmentId that has policies grant permissions for using Generative AI Service
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const CONFIG_LOCATION = "~/.oci/config";
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const CONFIG_PROFILE = "DEFAULT";
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const COMPARTMENT_ID = ""; // Fill-in with compartment Id with access to generative AI API
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(async () => {
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// Configuring the AuthenticationDetailsProvider. It's assuming there is a default OCI config file "~/.oci/config", and
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// a profile in that config with the name defined in CONFIG_PROFILE variable.
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const provider = new SessionAuthDetailProvider(CONFIG_LOCATION, CONFIG_PROFILE)
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provider.setRegion("us-chicago-1");
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const client = new GenerativeAiInferenceClient({
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authenticationDetailsProvider: provider,
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}
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);
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// On Demand Serving Mode
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// Check a list of pretrained Meta Llama Chat Models availability in different regions:
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// https://docs.oracle.com/en-us/iaas/Content/generative-ai/pretrained-models.htm#pretrained-models
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const servingMode: models.OnDemandServingMode = {
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modelId: "meta.llama-3.2-90b-vision-instruct",
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servingType: "ON_DEMAND",
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};
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// Dedicated Serving Mode
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// const servingMode: models.DedicatedServingMode = {
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// endpointId: "", // Fill-in with endpoint Id, if you have active Dedicated AI cluster resource
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// servingType: "DEDICATED",
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// };
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// Chat Details
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const chatRequest: requests.ChatRequest = {
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chatDetails: {
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compartmentId: COMPARTMENT_ID,
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servingMode: servingMode,
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chatRequest: {
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messages: [
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{
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role: "USER",
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content: [
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{
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type: "TEXT",
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// @ts-ignore
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text: "As a corporate vice president, generate an email congratulating a team that has just shipped a new cloud service. Emphasize the great positive impact the new service will have on the productivity of their customers.",
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}
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]
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}
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],
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apiFormat: "GENERIC",
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maxTokens: 600,
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temperature: 0,
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frequencyPenalty: 1,
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presencePenalty: 0,
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topP: 0.75,
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topK: -1,
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seed: 0,
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}
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},
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retryConfiguration: NoRetryConfigurationDetails
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};
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const chatResponse = await client.chat(chatRequest);
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// Print chat response
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console.log("**************************Chat Response**************************");
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console.log(JSON.stringify(chatResponse));
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})();

‎examples/typescript/generative-ai-embed-with-cohere.ts

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/**
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* Copyright (c) 2020, 2021 Oracle and/or its affiliates. All rights reserved.
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* This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
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*/
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/*
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* This example demonstrates to get embeddings response for the given inputs to Cohere llm.
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* In order to run this example, this code must be in an Oracle Cloud instance.
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*/
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import { GenerativeAiInferenceClient, models, requests } from "oci-generativeaiinference";
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import {
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SessionAuthDetailProvider,
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NoRetryConfigurationDetails
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} from "oci-common";
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// TODO: Please update config profile name and use the compartmentId that has policies grant permissions for using Generative AI Service
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const CONFIG_LOCATION = "~/.oci/config";
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const CONFIG_PROFILE = "DEFAULT";
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const COMPARTMENT_ID = ""; // Fill-in with compartment Id with access to generative AI API
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(async () => {
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// Configuring the AuthenticationDetailsProvider. It's assuming there is a default OCI config file "~/.oci/config", and
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// a profile in that config with the name defined in CONFIG_PROFILE variable.
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const provider = new SessionAuthDetailProvider(CONFIG_LOCATION, CONFIG_PROFILE)
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provider.setRegion("us-chicago-1");
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const client = new GenerativeAiInferenceClient({
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authenticationDetailsProvider: provider,
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}
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);
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// On Demand Serving Mode
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// Check a list of pretrained Cohere Embedding Models availability in different regions:
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// https://docs.oracle.com/en-us/iaas/Content/generative-ai/pretrained-models.htm#pretrained-models
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const servingMode: models.OnDemandServingMode = {
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modelId: "cohere.embed-english-v3.0",
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servingType: "ON_DEMAND",
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};
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// Dedicated Serving Mode
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// const servingMode: models.DedicatedServingMode = {
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// endpointId: "", // Fill-in with endpoint Id, if you have active Dedicated AI cluster resource
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// servingType: "DEDICATED",
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// };
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// Embed Details
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const embedRequest: requests.EmbedTextRequest = {
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embedTextDetails: {
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inputs: ["In order to maintain our growth, we need to track our billings to ensure we are charging our customers enough to support our business."," We have a system in place to track our billings and ensure we are billing our customers accurately."," We have a dedicated billing team that is responsible for generating invoices and tracking payments."," Our billing system is integrated with our customer relationship management (CRM) system, which allows us to track our billings and customer interactions in one place."," We use a third-party billing service to help us manage our billings and ensure we are billing our customers correctly."," We are committed to providing our customers with accurate billings and clear explanations of our charges."," Timely and accurate billing is important to our customers, and we strive to provide them with the best possible service."," We are constantly looking for ways to improve our billing process and ensure we are billing our customers fairly."," We are committed to being transparent with our customers about our billing process and how we calculate our charges."," Billing can be a complex process, and we are here to help our customers understand their bills and answer any questions they may have."," We value our customers and want to ensure that they are happy with our billing process and the services we provide."],
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truncate: models.EmbedTextDetails.Truncate.None,
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servingMode: servingMode,
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compartmentId: COMPARTMENT_ID,
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},
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retryConfiguration: NoRetryConfigurationDetails
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}
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const embedResponse = await client.embedText(embedRequest)
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// Print embed text response
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console.log("**************************Embed Texts Response**************************")
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console.log(JSON.stringify(embedResponse))
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})();

‎lib/accessgovernancecp/package.json

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{
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"name": "oci-accessgovernancecp",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Access Governance Cp Service",
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"repository": {
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"type": "git",

‎lib/adm/package.json

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{
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"name": "oci-adm",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Adm Service",
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"repository": {
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"type": "git",

‎lib/aianomalydetection/package.json

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{
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"name": "oci-aianomalydetection",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Ai Anomaly Detection Service",
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"repository": {
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"type": "git",

‎lib/aidocument/package.json

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{
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"name": "oci-aidocument",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Ai Document Service",
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"repository": {
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"type": "git",

‎lib/ailanguage/package.json

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{
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"name": "oci-ailanguage",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Ai Language Service",
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"repository": {
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"type": "git",

‎lib/aispeech/lib/model/realtime-parameters.ts

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"languageCode"?: string;
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/**
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* If set to true, the service will not fail connection attempt if it encounters any issues that prevent the loading of all specified user customizations. Any invalid customizations will simply be ignored and connection will continue being established with the default base model and any remaining valid customizations.
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* If set to false, if the service is unable to load any of the specified customizations, an error detailing why will be returned and the session will end.
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* If set to false, if the service is unable to load any of the specified customizations, an error detailing why will be returned and the session will end.
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*
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*/
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"shouldIgnoreInvalidCustomizations"?: boolean;
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/**
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* Array of customization objects.
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*/
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"customizations"?: Array<model.CustomizationInference>;
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/**
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* Configure punctuations in the generated transcriptions. Disabled by default.
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* - NONE: No punctuation in the transcription response
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* - SPOKEN: Punctuations in response only when verbally spoken
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* - AUTO: Automatic punctuation in the response, spoken punctuations are disabled
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*
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*/
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"punctuation"?: RealtimeParameters.Punctuation;
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}
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export namespace RealtimeParameters {
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Medical = "MEDICAL"
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}
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export enum Punctuation {
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None = "NONE",
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Spoken = "SPOKEN",
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Auto = "AUTO"
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}
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export function getJsonObj(obj: RealtimeParameters): object {
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const jsonObj = {
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...obj,

‎lib/aispeech/package.json

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{
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"name": "oci-aispeech",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Ai Speech Service",
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"repository": {
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"type": "git",

‎lib/aivision/package.json

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{
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"name": "oci-aivision",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Ai Vision Service",
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"repository": {
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"type": "git",

‎lib/analytics/package.json

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{
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"name": "oci-analytics",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Analytics Service",
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"repository": {
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"type": "git",

‎lib/announcementsservice/package.json

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{
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"name": "oci-announcementsservice",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Announcement Service",
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"repository": {
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"type": "git",

‎lib/apigateway/package.json

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{
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"name": "oci-apigateway",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for API gateway service",
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"repository": {
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"type": "git",

‎lib/apmconfig/package.json

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{
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"name": "oci-apmconfig",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Apm Config Service",
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"repository": {
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"type": "git",

‎lib/apmcontrolplane/package.json

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{
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"name": "oci-apmcontrolplane",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Apm Control Plane Service",
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"repository": {
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"type": "git",

‎lib/apmsynthetics/package.json

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{
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"name": "oci-apmsynthetics",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Apm Synthetics Service",
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"repository": {
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"type": "git",

‎lib/apmtraces/package.json

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{
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"name": "oci-apmtraces",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Apm Traces Service",
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"repository": {
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"type": "git",

‎lib/appmgmtcontrol/package.json

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{
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"name": "oci-appmgmtcontrol",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Appmgmt Control Service",
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"repository": {
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"type": "git",

‎lib/artifacts/package.json

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{
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"name": "oci-artifacts",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Artifacts Service",
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"repository": {
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"type": "git",

‎lib/audit/package.json

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{
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"name": "oci-audit",
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"version": "2.102.0",
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"version": "2.102.1",
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"description": "OCI NodeJS client for Audit Service",
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"repository": {
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"type": "git",

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