IBM watsonx.ai integration

export WATSONX_AI_AUTH_TYPE=iam
export WATSONX_AI_APIKEY=<YOUR-APIKEY>

export WATSONX_AI_AUTH_TYPE=bearertoken
export WATSONX_AI_BEARER_TOKEN=<YOUR-BEARER-TOKEN>

export WATSONX_AI_AUTH_TYPE=cp4d
export WATSONX_AI_USERNAME=<YOUR_USERNAME>
export WATSONX_AI_PASSWORD=<YOUR_PASSWORD>
export WATSONX_AI_URL=<URL>

import { WatsonxLLM } from "@langchain/ibm";

const props = {
  version: "YYYY-MM-DD",
  serviceUrl: "<SERVICE_URL>",
  projectId: "<PROJECT_ID>",
  watsonxAIAuthType: "iam",
  watsonxAIApikey: "<YOUR-APIKEY>",
};
const instance = new WatsonxLLM(props);

import { WatsonxLLM } from "@langchain/ibm";

const props = {
  version: "YYYY-MM-DD",
  serviceUrl: "<SERVICE_URL>",
  projectId: "<PROJECT_ID>",
  watsonxAIAuthType: "bearertoken",
  watsonxAIBearerToken: "<YOUR-BEARERTOKEN>",
};
const instance = new WatsonxLLM(props);

import { WatsonxLLM } from "@langchain/ibm";

const props = {
  version: "YYYY-MM-DD",
  serviceUrl: "<SERVICE_URL>",
  projectId: "<PROJECT_ID>",
  watsonxAIAuthType: "cp4d",
  watsonxAIUsername: "<YOUR-USERNAME>",
  watsonxAIPassword: "<YOUR-PASSWORD>",
  watsonxAIUrl: "<url>",
};
const instance = new WatsonxLLM(props);

# export LANGSMITH_TRACING="true"
# export LANGSMITH_API_KEY="your-api-key"

import { WatsonxLLM } from "@langchain/ibm";

const props = {
  decoding_method: "sample",
  maxNewTokens: 100,
  minNewTokens: 1,
  temperature: 0.5,
  topK: 50,
  topP: 1,
};
const instance = new WatsonxLLM({
  version: "YYYY-MM-DD",
  serviceUrl: process.env.API_URL,
  projectId: "<PROJECT_ID>",
  // spaceId: "<SPACE_ID>",
  // idOrName: "<DEPLOYMENT_ID>",
  model: "<MODEL_ID>",
  ...props,
});

import { WatsonxLLM } from "@langchain/ibm";

const props = {
  decoding_method: "sample",
  maxNewTokens: 100,
  minNewTokens: 1,
  temperature: 0.5,
  topK: 50,
  topP: 1,
};

const instance = new WatsonxLLM({
  version: "YYYY-MM-DD",
  serviceUrl: process.env.API_URL,
  model: "<MODEL_ID>",
  modelGateway: true,
  ...props,
});

const result = await instance.invoke("Print hello world.");
console.log(result);

const results = await instance.generate([
  "Print hello world.",
  "Print bye, bye world!",
]);
console.log(results);

print('Hello world.')<|endoftext|>
{
  generations: [ [ [Object] ], [ [Object] ] ],
  llmOutput: { tokenUsage: { generated_token_count: 28, input_token_count: 10 } }
}

import { PromptTemplate } from "@langchain/core/prompts"

const prompt = PromptTemplate.fromTemplate("How to say {input} in {output_language}:\n")

const chain = prompt.pipe(instance);
await chain.invoke(
  {
    output_language: "German",
    input: "I love programming.",
  }
)

Ich liebe Programmieren.

To express that you are passionate about programming in German,

const result2 = await instance.invoke("Print hello world.", {
  parameters: {
    maxNewTokens: 100,
  },
});
console.log(result2);

print('Hello world.')<|endoftext|>

const tokens = await instance.getNumTokens("Print hello world.");
console.log(tokens);

4