cloud-pc-templates-sdk to interact with the running login modes, vectordb and agents

Steps:

1. Launch a login mode:

npx cloud-pc-templates ai login loginMode ollamalocal

2. Create a new project and install the dependency

mkdir new-app
cd new-app
npm init -y
npm install cloud-pc-templates-sdk

3. Then implement the code in index.js

let { Sdk }  = require("cloud-pc-templates-sdk");
async function main() {
    let sdk = new Sdk("ollamalocal");
    let response = await sdk.chat("Hello");
    console.log(response);
}
main();

or for streaming

let { Sdk }  = require("cloud-pc-templates-sdk");
async function main() {
    let sdk = new Sdk("ollamalocal");
    await sdk.chat("Hello",null,(token) => {
        process.stdout.write(token);
    });
}
main();

The second argument for sdk.chat() is model id passing that null takes the first model from the list of model returned by the login mode.

For vector db use below steps

1. Start vector db

npx cloud-pc-templates@latest ai agents startVectorDb

2. Create new app add dependency

mkdir new-app
cd new-app
npm init -y
npm install cloud-pc-templates-sdk

3. create index.js with below content

let { Sdk }  = require("cloud-pc-templates-sdk");
async function main() {
    let sdk = new Sdk("ollamalocal");
    let response1 = await sdk.getVectorDbApiDocSuggestion("Create a java application");
    console.log("vector db suggestion",response1);
    let response2 = await sdk.getVectorDbApiDocSuggestion("Create a java application","text");
    console.log("vector db suggestion text",response2);
}
main();

For agents use the following

1. Start all agents

npx cloud-pc-templates ai agents startAllOn linux

or for windows

npx cloud-pc-templates@latest ai agents startAllOn docker

2. Create new app add dependency

mkdir new-app
cd new-app
npm init -y
npm install cloud-pc-templates-sdk

3. create agents.js with below content and run

let { Sdk }  = require("cloud-pc-templates-sdk");
async function main() {
    let sdk = new Sdk("ollamalocal");
    let health = await sdk.getAllAgents().healthcheck();
    console.log("Agents Health", health);
    let agent = sdk.getAgentById('web-explorer');
    let apiDoc = await agent.getApiDoc();
    console.log("Agent API Doc", apiDoc);
    let agentApiHitInsights = await agent.getApiHitInsights();
    console.log("Agent API Insights", agentApiHitInsights);
}
main();

output:

Added 'sdk.callAgent' to call an agent with a prompt, the first argument here is the model-id and second one is the prompt. Model ids can be found in agents.mjs

Steps:

1. Start any loginmode, e.g. ollamacloud

   npx cloud-pc-templates ai login loginMode ollamacloud

2. Start all agents

   npm cloud-pc-templates ai agents startAllOn linux

   Or for windows, run the below

   npm cloud-pc-templates ai agents startAllOn docker

3. Start the vector db

   npx cloud-pc-templates ai agents startVectorDb

4. create a new app and in it create an agentcall.js like below

   mkdir new-app
   cd new-app
   npm init -y
   npm install cloud-pc-templates-sdk

   File content:

   let { Sdk } = require("cloud-pc-templates-sdk");
   async function main() {
       let sdk = new Sdk("ollamacloud");
       sdk.setSelectedModel("gpt-oss:120b");
       let agentResponse = await sdk.callAgent(
           'playwright connector',
           'Go to https://cloud-pc-templates.com/ and tell me what all you see'
       );
       console.log(agentResponse);
   }
   main();

Sample output:

Latest addition is orchestrator api(chatAgentMode function), try it with steps below:

  mkdir new-app
  cd new-app
  npm init -y
  npm install cloud-pc-templates-sdk

File content:

llet { Sdk }  = require("cloud-pc-templates-sdk");
async function main() {
 let sdk = new Sdk("ollamacloud");
 sdk.setSelectedModel('gpt-oss:120b');
 let response = await sdk.chatAgentMode("create an spring java project with test apis",(whatIsBeingDone)=>{
     console.log("I am asking the agent to ",whatIsBeingDone);
 });
 console.log(response);
 let history = sdk.getChatHistory();
 console.log(history);
}
main();

Sample output: