// This is an automatically generated code sample.
// To make this code sample work in your Oracle Cloud tenancy,
// please replace the values for any parameters whose current values do not fit
// your use case (such as resource IDs, strings containing ‘EXAMPLE’ or ‘unique_id’, and
// boolean, number, and enum parameters with values not fitting your use case).
import * as generativeaiinference from "oci-generativeaiinference";
import common = require("oci-common");
// Create a default authentication provider that uses the DEFAULT
// profile in the configuration file.
// Refer to <see href="https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/sdkconfig.htm#SDK_and_CLI_Configuration_File>the public documentation</see> on how to prepare a configuration file.
const provider: common.ConfigFileAuthenticationDetailsProvider = new common.ConfigFileAuthenticationDetailsProvider();
(async () => {
try {
// Create a service client
const client = new generativeaiinference.GenerativeAiInferenceClient({
authenticationDetailsProvider: provider
});
// Create a request and dependent object(s).
const generateTextDetails = {
compartmentId: "ocid1.test.oc1..<unique_ID>EXAMPLE-compartmentId-Value",
servingMode: {
servingType: "ON_DEMAND",
modelId: "ocid1.test.oc1..<unique_ID>EXAMPLE-modelId-Value"
},
inferenceRequest: {
runtimeType: "COHERE",
prompt: "EXAMPLE-prompt-Value",
isStream: false,
numGenerations: 2,
isEcho: false,
maxTokens: 651,
temperature: 1.8789818,
topK: 1,
topP: 0.26159215,
frequencyPenalty: 0.89666796,
presencePenalty: 0.48836064,
stopSequences: ["EXAMPLE--Value"],
returnLikelihoods:
generativeaiinference.requests.CohereLlmInferenceRequest.ReturnLikelihoods.None,
truncate: generativeaiinference.requests.CohereLlmInferenceRequest.Truncate.None
}
};
const generateTextRequest: generativeaiinference.requests.GenerateTextRequest = {
generateTextDetails: generateTextDetails,
opcRetryToken: "EXAMPLE-opcRetryToken-Value",
opcRequestId: "YR0ZNLQNT2LLK34VSCEJ<unique_ID>"
};
// Send request to the Client.
const generateTextResponse = await client.generateText(generateTextRequest);
} catch (error) {
console.log("generateText Failed with error " + error);
}
})();