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TypeScript agent using OpenAI SDK with Bindu.
/**
* TypeScript OpenAI Agent — Bindufied
*
* Demonstrates using the Bindu TypeScript SDK with the OpenAI SDK.
* Uses GPT-4o to answer questions and assist users.
*
* Usage:
* 1. Set OPENAI_API_KEY in .env
* 2. npx tsx index.ts
*/
import { bindufy , ChatMessage } from "@bindu/sdk" ;
import OpenAI from "openai" ;
import * as dotenv from "dotenv" ;
dotenv . config ();
const openai = new OpenAI ({
apiKey: process . env . OPENAI_API_KEY ,
});
// bindufy — one call, full microservice
bindufy (
{
author: "opnai-sample-ts@getbindu.com" ,
name: "openai-assistant-agent" ,
description:
"An assistant built with the OpenAI SDK and Bindu. Powered by GPT-4o." ,
version: "1.0.0" ,
deployment: {
url: "http://localhost:3773" ,
expose: true ,
cors_origins: [ "http://localhost:5173" ],
},
skills: [ "skills/typescript-openai-skill" ],
},
async ( messages : ChatMessage []) => {
// Call OpenAI GPT-4o
const response = await openai . chat . completions . create ({
model: process . env . OPENAI_MODEL || "gpt-4o" ,
messages: messages . map (( m ) => ({
role: m . role as "user" | "assistant" | "system" ,
content: m . content ,
})),
});
return response . choices [ 0 ]. message . content || "" ;
}
);
Skill Configuration
Create skills/typescript-openai-skill/skill.yaml:
# TypeScript OpenAI Agent Skill
# TypeScript-based AI agent using OpenAI SDK
id : typescript-openai-skill
name : TypeScript OpenAI Agent Skill
version : 1.0.0
author : typescript-developer@example.com
description : |
TypeScript agent that demonstrates Bindu SDK integration with OpenAI SDK.
Built with modern TypeScript practices and direct OpenAI API integration.
Features:
- Direct OpenAI SDK integration
- TypeScript type safety and modern ES features
- GPT-4o model support
- Environment-based configuration
- CORS-enabled for frontend integration
tags :
- typescript
- openai
- gpt-4o
- bindu-sdk
- agent-development
- es2022
- nodejs
input_modes :
- application/json
output_modes :
- application/json
examples :
- "What are the key features of GPT-4o for TypeScript development?"
- "How do I implement error handling in OpenAI API calls?"
- "Create a TypeScript function that analyzes sentiment using OpenAI"
- "What are the best practices for TypeScript OpenAI integration?"
- "How do I optimize OpenAI API responses in TypeScript?"
capabilities_detail :
openai_integration :
supported : true
description : "Direct integration with OpenAI SDK"
features :
- gpt_4o_support
- chat_completions
- error_handling
typescript_support :
supported : true
description : "Full TypeScript support with type safety"
features :
- es2022_target
- strict_typing
- modern_syntax
bindu_sdk :
supported : true
description : "Full Bindu SDK integration for protocol compliance"
features :
- did_support
- x402_payments
- a2a_protocol
- cors_enabled
requirements :
packages :
- "@bindu/sdk"
- "openai"
- "dotenv"
- "@types/node"
- "tsx"
system :
- node_18_or_higher
- typescript_5_or_higher
api_keys :
- OPENAI_API_KEY
performance :
avg_response_time_ms : 2500
max_concurrent_requests : 8
memory_usage_mb : 256
scalability : vertical
assessment :
keywords :
- typescript
- openai
- gpt-4o
- agent
- bindu
- nodejs
- es2022
specializations :
- domain : typescript-development
confidence_boost : 0.4
- domain : openai-integration
confidence_boost : 0.6
- domain : api-development
confidence_boost : 0.3
anti_patterns :
- "blocking operations"
- "callback hell"
- "type_any_usage"
- "legacy_syntax"
complexity_indicators :
simple :
- "what are"
- "how do I"
- "explain"
medium :
- "implement"
- "best practices for"
complex :
- "create function that"
- "optimize responses"
- "comprehensive guide"
How It Works
TypeScript SDK Integration
@bindu/sdk: TypeScript Bindu SDK for agent development
Automatic microservice generation with DID and auth
gRPC communication with Bindu Python core
A2A protocol compliance handled by SDK
OpenAI SDK Integration
OpenAI: Direct OpenAI SDK integration
GPT-4o model for question answering
Chat completions API with message history
Configurable model via environment variable
Message Processing
ChatMessage[]: Bindu message format with role and content
Role mapping (user/assistant/system) for OpenAI compatibility
Direct API calls to OpenAI chat completions
Response extraction and content return
Configuration
Environment-based API key management
Standard Bindu deployment configuration
Skills declaration for capabilities
Model configuration flexibility
Dependencies
npm install @bindu/sdk openai dotenv
npm install -D @types/node tsx
Environment Setup
Create .env file:
OPENAI_API_KEY = your_openai_api_key_here
OPENAI_MODEL = gpt-4o
Example API Calls
{
"jsonrpc" : "2.0" ,
"method" : "message/send" ,
"params" : {
"message" : {
"role" : "user" ,
"kind" : "message" ,
"messageId" : "9f11c870-5616-49ad-b187-d93cbb100001" ,
"contextId" : "9f11c870-5616-49ad-b187-d93cbb100002" ,
"taskId" : "9f11c870-5616-49ad-b187-d93cbb100003" ,
"parts" : [
{
"kind" : "text" ,
"text" : "What are the key features of GPT-4o for TypeScript development?"
}
]
},
"skillId" : "typescript-openai-skill" ,
"configuration" : {
"acceptedOutputModes" : [ "application/json" ]
}
},
"id" : "9f11c870-5616-49ad-b187-d93cbb100003"
}
{
"jsonrpc" : "2.0" ,
"method" : "tasks/get" ,
"params" : {
"taskId" : "9f11c870-5616-49ad-b187-d93cbb100003"
},
"id" : "9f11c870-5616-49ad-b187-d93cbb100004"
}
Frontend Setup
# Clone the Bindu repository
git clone https://github.com/GetBindu/Bindu
# Navigate to frontend directory
cd frontend
# Install dependencies
npm install
# Start frontend development server
npm run dev
Open http://localhost:5173 and try to chat with the TypeScript OpenAI agent