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LLP TypeScript SDK

Javascript SDK for connecting to Large Language Platform.

Features

  • Simple, intuitive async API
  • Websocket-based communication
  • Full Typescript support

Installation

npm i llpsdk

Quick Start

import{LLPClient}from'llpsdk';import{config}from'dotenv';import{createAgent}from'my_app';asyncfunctionmain(){config();// Initialize the clientconstclient=newLLPClient('my-agent',process.env.LLP_API_KEY??'');// Define a callback handler agent initialization and for processing messagesclient.onStart(()=>{createAgent()});client.onMessage(async(agent,msg,_annotater)=>{// Process the prompt with your agent.// Replace this with your own processing logic.constresponse=agent.generate(msg.prompt);// You must return a responsereturnmsg.reply(response);});// Connect and keep the client runningawaitclient.connect();awaitnewPromise(()=>{});}main();

Examples

  • examples/simple-agent is a standalone example package containing the literal Python simple_agent.py port
  • examples/mastra-weather-agent is a standalone Mastra example package with its own package.json

LangChain Tool Call Capture

If your LangChain agent uses tools, the SDK can automatically annotate those tool calls back to LLP.

import{LLPClient}from'llpsdk';import{createLLPToolMiddleware}from'llpsdk/langchain';import{createAgent,tool}from'langchain';import*aszfrom'zod';constweatherTool=tool(async({ city }: {city: string})=>`Weather for ${city}: sunny`,{name: 'weather',description: 'Look up the weather for a city',schema: z.object({city: z.string()}),},);constclient=newLLPClient<ReturnType<typeofcreateAgent>>('my-agent',process.env.LLP_API_KEY??'');client.onStart(()=>{returncreateAgent({
model,tools: [weatherTool],middleware: [createLLPToolMiddleware()],});}});client.onMessage(async(agent,msg,annotater)=>{constresult=awaitagent.invoke({messages: [{role: 'user',content: msg.prompt}],},{context: {llpMessage: msg,llpClient: agent,},},);returnmsg.reply(String(result.messages.at(-1)?.content??''));});

The middleware requires LLP runtime context with:

  • llpMessage: the inbound TextMessage
  • llpClient: the session or client object used to send tool-call annotations

Development

# typecheck and build
make
# lint + tests
make test# format
make format

About

Javascript client for interacting with Large Language Platform

Resources

Readme
MIT license
Activity
Custom properties

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

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var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - llpsdk/llp-javascript: Javascript client for interacting with Large Language Platform · GitHub
Skip to content
BranchesTags
Repository files navigation
LLP TypeScript SDK
Javascript SDK for connecting to Large Language Platform.
Features
  • Simple, intuitive async API
  • Websocket-based communication
  • Full Typescript support
Installation
npm i llpsdk
Quick Start
import{LLPClient}from'llpsdk';import{config}from'dotenv';import{createAgent}from'my_app';asyncfunctionmain(){config();// Initialize the clientconstclient=newLLPClient('my-agent',process.env.LLP_API_KEY??'');// Define a callback handler agent initialization and for processing messagesclient.onStart(()=>{createAgent()});client.onMessage(async(agent,msg,_annotater)=>{// Process the prompt with your agent.// Replace this with your own processing logic.constresponse=agent.generate(msg.prompt);// You must return a responsereturnmsg.reply(response);});// Connect and keep the client runningawaitclient.connect();awaitnewPromise(()=>{});}main();
Examples
  • examples/simple-agent is a standalone example package containing the literal Python simple_agent.py port
  • examples/mastra-weather-agent is a standalone Mastra example package with its own package.json
LangChain Tool Call Capture
If your LangChain agent uses tools, the SDK can automatically annotate those
tool calls back to LLP.
import{LLPClient}from'llpsdk';import{createLLPToolMiddleware}from'llpsdk/langchain';import{createAgent,tool}from'langchain';import*aszfrom'zod';constweatherTool=tool(async({ city }: {city: string})=>`Weather for ${city}: sunny`,{name: 'weather',description: 'Look up the weather for a city',schema: z.object({city: z.string()}),},);constclient=newLLPClient<ReturnType<typeofcreateAgent>>('my-agent',process.env.LLP_API_KEY??'');client.onStart(()=>{returncreateAgent({
model,tools: [weatherTool],middleware: [createLLPToolMiddleware()],});}});client.onMessage(async(agent,msg,annotater)=>{constresult=awaitagent.invoke({messages: [{role: 'user',content: msg.prompt}],},{context: {llpMessage: msg,llpClient: agent,},},);returnmsg.reply(String(result.messages.at(-1)?.content??''));});
The middleware requires LLP runtime context with:
  • llpMessage: the inbound TextMessage
  • llpClient: the session or client object used to send tool-call annotations
Development
# typecheck and build
make
# lint + tests
make test# format
make format
About
Javascript client for interacting with Large Language Platform
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - llpsdk/llp-javascript: Javascript client for interacting with Large Language Platform · GitHub
Skip to content
BranchesTags
Repository files navigation
LLP TypeScript SDK
Javascript SDK for connecting to Large Language Platform.
Features
  • Simple, intuitive async API
  • Websocket-based communication
  • Full Typescript support
Installation
npm i llpsdk
Quick Start
import{LLPClient}from'llpsdk';import{config}from'dotenv';import{createAgent}from'my_app';asyncfunctionmain(){config();// Initialize the clientconstclient=newLLPClient('my-agent',process.env.LLP_API_KEY??'');// Define a callback handler agent initialization and for processing messagesclient.onStart(()=>{createAgent()});client.onMessage(async(agent,msg,_annotater)=>{// Process the prompt with your agent.// Replace this with your own processing logic.constresponse=agent.generate(msg.prompt);// You must return a responsereturnmsg.reply(response);});// Connect and keep the client runningawaitclient.connect();awaitnewPromise(()=>{});}main();
Examples
  • examples/simple-agent is a standalone example package containing the literal Python simple_agent.py port
  • examples/mastra-weather-agent is a standalone Mastra example package with its own package.json
LangChain Tool Call Capture
If your LangChain agent uses tools, the SDK can automatically annotate those
tool calls back to LLP.
import{LLPClient}from'llpsdk';import{createLLPToolMiddleware}from'llpsdk/langchain';import{createAgent,tool}from'langchain';import*aszfrom'zod';constweatherTool=tool(async({ city }: {city: string})=>`Weather for ${city}: sunny`,{name: 'weather',description: 'Look up the weather for a city',schema: z.object({city: z.string()}),},);constclient=newLLPClient<ReturnType<typeofcreateAgent>>('my-agent',process.env.LLP_API_KEY??'');client.onStart(()=>{returncreateAgent({
model,tools: [weatherTool],middleware: [createLLPToolMiddleware()],});}});client.onMessage(async(agent,msg,annotater)=>{constresult=awaitagent.invoke({messages: [{role: 'user',content: msg.prompt}],},{context: {llpMessage: msg,llpClient: agent,},},);returnmsg.reply(String(result.messages.at(-1)?.content??''));});
The middleware requires LLP runtime context with:
  • llpMessage: the inbound TextMessage
  • llpClient: the session or client object used to send tool-call annotations
Development
# typecheck and build
make
# lint + tests
make test# format
make format
About
Javascript client for interacting with Large Language Platform
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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observer.observe(document.body, { childList: true, subtree: true });
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - llpsdk/llp-javascript: Javascript client for interacting with Large Language Platform · GitHub
Skip to content
BranchesTags
Repository files navigation
LLP TypeScript SDK
Javascript SDK for connecting to Large Language Platform.
Features
  • Simple, intuitive async API
  • Websocket-based communication
  • Full Typescript support
Installation
npm i llpsdk
Quick Start
import{LLPClient}from'llpsdk';import{config}from'dotenv';import{createAgent}from'my_app';asyncfunctionmain(){config();// Initialize the clientconstclient=newLLPClient('my-agent',process.env.LLP_API_KEY??'');// Define a callback handler agent initialization and for processing messagesclient.onStart(()=>{createAgent()});client.onMessage(async(agent,msg,_annotater)=>{// Process the prompt with your agent.// Replace this with your own processing logic.constresponse=agent.generate(msg.prompt);// You must return a responsereturnmsg.reply(response);});// Connect and keep the client runningawaitclient.connect();awaitnewPromise(()=>{});}main();
Examples
  • examples/simple-agent is a standalone example package containing the literal Python simple_agent.py port
  • examples/mastra-weather-agent is a standalone Mastra example package with its own package.json
LangChain Tool Call Capture
If your LangChain agent uses tools, the SDK can automatically annotate those
tool calls back to LLP.
import{LLPClient}from'llpsdk';import{createLLPToolMiddleware}from'llpsdk/langchain';import{createAgent,tool}from'langchain';import*aszfrom'zod';constweatherTool=tool(async({ city }: {city: string})=>`Weather for ${city}: sunny`,{name: 'weather',description: 'Look up the weather for a city',schema: z.object({city: z.string()}),},);constclient=newLLPClient<ReturnType<typeofcreateAgent>>('my-agent',process.env.LLP_API_KEY??'');client.onStart(()=>{returncreateAgent({
model,tools: [weatherTool],middleware: [createLLPToolMiddleware()],});}});client.onMessage(async(agent,msg,annotater)=>{constresult=awaitagent.invoke({messages: [{role: 'user',content: msg.prompt}],},{context: {llpMessage: msg,llpClient: agent,},},);returnmsg.reply(String(result.messages.at(-1)?.content??''));});
The middleware requires LLP runtime context with:
  • llpMessage: the inbound TextMessage
  • llpClient: the session or client object used to send tool-call annotations
Development
# typecheck and build
make
# lint + tests
make test# format
make format
About
Javascript client for interacting with Large Language Platform
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
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var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
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try {
var u = new URL(url, window.location.origin);
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document.querySelectorAll('a[href]').forEach(function(a) {
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - llpsdk/llp-javascript: Javascript client for interacting with Large Language Platform · GitHub
Skip to content
BranchesTags
Repository files navigation
LLP TypeScript SDK
Javascript SDK for connecting to Large Language Platform.
Features
  • Simple, intuitive async API
  • Websocket-based communication
  • Full Typescript support
Installation
npm i llpsdk
Quick Start
import{LLPClient}from'llpsdk';import{config}from'dotenv';import{createAgent}from'my_app';asyncfunctionmain(){config();// Initialize the clientconstclient=newLLPClient('my-agent',process.env.LLP_API_KEY??'');// Define a callback handler agent initialization and for processing messagesclient.onStart(()=>{createAgent()});client.onMessage(async(agent,msg,_annotater)=>{// Process the prompt with your agent.// Replace this with your own processing logic.constresponse=agent.generate(msg.prompt);// You must return a responsereturnmsg.reply(response);});// Connect and keep the client runningawaitclient.connect();awaitnewPromise(()=>{});}main();
Examples
  • examples/simple-agent is a standalone example package containing the literal Python simple_agent.py port
  • examples/mastra-weather-agent is a standalone Mastra example package with its own package.json
LangChain Tool Call Capture
If your LangChain agent uses tools, the SDK can automatically annotate those
tool calls back to LLP.
import{LLPClient}from'llpsdk';import{createLLPToolMiddleware}from'llpsdk/langchain';import{createAgent,tool}from'langchain';import*aszfrom'zod';constweatherTool=tool(async({ city }: {city: string})=>`Weather for ${city}: sunny`,{name: 'weather',description: 'Look up the weather for a city',schema: z.object({city: z.string()}),},);constclient=newLLPClient<ReturnType<typeofcreateAgent>>('my-agent',process.env.LLP_API_KEY??'');client.onStart(()=>{returncreateAgent({
model,tools: [weatherTool],middleware: [createLLPToolMiddleware()],});}});client.onMessage(async(agent,msg,annotater)=>{constresult=awaitagent.invoke({messages: [{role: 'user',content: msg.prompt}],},{context: {llpMessage: msg,llpClient: agent,},},);returnmsg.reply(String(result.messages.at(-1)?.content??''));});
The middleware requires LLP runtime context with:
  • llpMessage: the inbound TextMessage
  • llpClient: the session or client object used to send tool-call annotations
Development
# typecheck and build
make
# lint + tests
make test# format
make format
About
Javascript client for interacting with Large Language Platform
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - llpsdk/llp-javascript: Javascript client for interacting with Large Language Platform · GitHub
Skip to content
BranchesTags
Repository files navigation
LLP TypeScript SDK
Javascript SDK for connecting to Large Language Platform.
Features
  • Simple, intuitive async API
  • Websocket-based communication
  • Full Typescript support
Installation
npm i llpsdk
Quick Start
import{LLPClient}from'llpsdk';import{config}from'dotenv';import{createAgent}from'my_app';asyncfunctionmain(){config();// Initialize the clientconstclient=newLLPClient('my-agent',process.env.LLP_API_KEY??'');// Define a callback handler agent initialization and for processing messagesclient.onStart(()=>{createAgent()});client.onMessage(async(agent,msg,_annotater)=>{// Process the prompt with your agent.// Replace this with your own processing logic.constresponse=agent.generate(msg.prompt);// You must return a responsereturnmsg.reply(response);});// Connect and keep the client runningawaitclient.connect();awaitnewPromise(()=>{});}main();
Examples
  • examples/simple-agent is a standalone example package containing the literal Python simple_agent.py port
  • examples/mastra-weather-agent is a standalone Mastra example package with its own package.json
LangChain Tool Call Capture
If your LangChain agent uses tools, the SDK can automatically annotate those
tool calls back to LLP.
import{LLPClient}from'llpsdk';import{createLLPToolMiddleware}from'llpsdk/langchain';import{createAgent,tool}from'langchain';import*aszfrom'zod';constweatherTool=tool(async({ city }: {city: string})=>`Weather for ${city}: sunny`,{name: 'weather',description: 'Look up the weather for a city',schema: z.object({city: z.string()}),},);constclient=newLLPClient<ReturnType<typeofcreateAgent>>('my-agent',process.env.LLP_API_KEY??'');client.onStart(()=>{returncreateAgent({
model,tools: [weatherTool],middleware: [createLLPToolMiddleware()],});}});client.onMessage(async(agent,msg,annotater)=>{constresult=awaitagent.invoke({messages: [{role: 'user',content: msg.prompt}],},{context: {llpMessage: msg,llpClient: agent,},},);returnmsg.reply(String(result.messages.at(-1)?.content??''));});
The middleware requires LLP runtime context with:
  • llpMessage: the inbound TextMessage
  • llpClient: the session or client object used to send tool-call annotations
Development
# typecheck and build
make
# lint + tests
make test# format
make format
About
Javascript client for interacting with Large Language Platform
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
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el.style.position = 'static';
el.style.top = 'auto';
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observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
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}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - llpsdk/llp-javascript: Javascript client for interacting with Large Language Platform · GitHub
Skip to content
BranchesTags
Repository files navigation
LLP TypeScript SDK
Javascript SDK for connecting to Large Language Platform.
Features
  • Simple, intuitive async API
  • Websocket-based communication
  • Full Typescript support
Installation
npm i llpsdk
Quick Start
import{LLPClient}from'llpsdk';import{config}from'dotenv';import{createAgent}from'my_app';asyncfunctionmain(){config();// Initialize the clientconstclient=newLLPClient('my-agent',process.env.LLP_API_KEY??'');// Define a callback handler agent initialization and for processing messagesclient.onStart(()=>{createAgent()});client.onMessage(async(agent,msg,_annotater)=>{// Process the prompt with your agent.// Replace this with your own processing logic.constresponse=agent.generate(msg.prompt);// You must return a responsereturnmsg.reply(response);});// Connect and keep the client runningawaitclient.connect();awaitnewPromise(()=>{});}main();
Examples
  • examples/simple-agent is a standalone example package containing the literal Python simple_agent.py port
  • examples/mastra-weather-agent is a standalone Mastra example package with its own package.json
LangChain Tool Call Capture
If your LangChain agent uses tools, the SDK can automatically annotate those
tool calls back to LLP.
import{LLPClient}from'llpsdk';import{createLLPToolMiddleware}from'llpsdk/langchain';import{createAgent,tool}from'langchain';import*aszfrom'zod';constweatherTool=tool(async({ city }: {city: string})=>`Weather for ${city}: sunny`,{name: 'weather',description: 'Look up the weather for a city',schema: z.object({city: z.string()}),},);constclient=newLLPClient<ReturnType<typeofcreateAgent>>('my-agent',process.env.LLP_API_KEY??'');client.onStart(()=>{returncreateAgent({
model,tools: [weatherTool],middleware: [createLLPToolMiddleware()],});}});client.onMessage(async(agent,msg,annotater)=>{constresult=awaitagent.invoke({messages: [{role: 'user',content: msg.prompt}],},{context: {llpMessage: msg,llpClient: agent,},},);returnmsg.reply(String(result.messages.at(-1)?.content??''));});
The middleware requires LLP runtime context with:
  • llpMessage: the inbound TextMessage
  • llpClient: the session or client object used to send tool-call annotations
Development
# typecheck and build
make
# lint + tests
make test# format
make format
About
Javascript client for interacting with Large Language Platform
Resources
Readme
MIT license
Activity
Custom properties
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - llpsdk/llp-javascript: Javascript client for interacting with Large Language Platform · GitHub
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LLP TypeScript SDK
Javascript SDK for connecting to Large Language Platform.
Features
  • Simple, intuitive async API
  • Websocket-based communication
  • Full Typescript support
Installation
npm i llpsdk
Quick Start
import{LLPClient}from'llpsdk';import{config}from'dotenv';import{createAgent}from'my_app';asyncfunctionmain(){config();// Initialize the clientconstclient=newLLPClient('my-agent',process.env.LLP_API_KEY??'');// Define a callback handler agent initialization and for processing messagesclient.onStart(()=>{createAgent()});client.onMessage(async(agent,msg,_annotater)=>{// Process the prompt with your agent.// Replace this with your own processing logic.constresponse=agent.generate(msg.prompt);// You must return a responsereturnmsg.reply(response);});// Connect and keep the client runningawaitclient.connect();awaitnewPromise(()=>{});}main();
Examples
  • examples/simple-agent is a standalone example package containing the literal Python simple_agent.py port
  • examples/mastra-weather-agent is a standalone Mastra example package with its own package.json
LangChain Tool Call Capture
If your LangChain agent uses tools, the SDK can automatically annotate those
tool calls back to LLP.
import{LLPClient}from'llpsdk';import{createLLPToolMiddleware}from'llpsdk/langchain';import{createAgent,tool}from'langchain';import*aszfrom'zod';constweatherTool=tool(async({ city }: {city: string})=>`Weather for ${city}: sunny`,{name: 'weather',description: 'Look up the weather for a city',schema: z.object({city: z.string()}),},);constclient=newLLPClient<ReturnType<typeofcreateAgent>>('my-agent',process.env.LLP_API_KEY??'');client.onStart(()=>{returncreateAgent({
model,tools: [weatherTool],middleware: [createLLPToolMiddleware()],});}});client.onMessage(async(agent,msg,annotater)=>{constresult=awaitagent.invoke({messages: [{role: 'user',content: msg.prompt}],},{context: {llpMessage: msg,llpClient: agent,},},);returnmsg.reply(String(result.messages.at(-1)?.content??''));});
The middleware requires LLP runtime context with:
  • llpMessage: the inbound TextMessage
  • llpClient: the session or client object used to send tool-call annotations
Development
# typecheck and build
make
# lint + tests
make test# format
make format
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Javascript client for interacting with Large Language Platform
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