WhatsApp LLM based AI Support Agent Automation for Chatting with cusotmers

@webmasters486

Hey, I've reviewed your requirement and understand you need a fully automated WhatsApp AI agent with structured conversation logic, LLM integration, memory handling, and clean escalation to human support. I’ll build a Dockerised system using WhatsApp sandbox (Twilio/Cloud API), a middleware layer (Node/Python), and an LLM (GPT/Claude) wrapped in an agent framework. The bot will manage context, enforce tone via a configurable prompt layer, classify intents (product, service, FAQ), and trigger tools/APIs when needed. It will also support webhook-based data updates, logging with PII masking, and rule-based or confidence-based human handoff. I’ve built similar LLM-driven chat systems with multi-step flows and API integrations. I can share a live demo link for testing. You’ll receive full source code, env setup, prompt config file, and 3 tested WhatsApp journeys as required. Best regards, Muhammad Adil Portfolio: https://www.freelancer.com/u/webmasters486

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@tadinhkien

Greetings, Thank you for considering my application for this project. As an AI Engineer and Python Developer with over 8+ years of experience, I bring a wealth of knowledge and expertise in the field of Python, Deep Learning. I have carefully reviewed the project description and am eager to discuss your specific needs and requirements in more detail. My commitment is to provide dedicated support and consistent follow-up throughout the project's lifecycle. Please feel free to reach out to me to further discuss how I can contribute to the success of your project. Looking forward to the opportunity of working together. Best regards, KuroKien

@vertechsolutions

Hi, I can fix your WhatsApp LLM based AI Support Agent Automation for Chatting with customers I've solved this exact problem many times. Here is what I will do: • Build the WhatsApp automation with an LLM middleware and agent logic for product, service, and FAQ replies. • Set up context memory, tone rules, tool chaining, human handoff, and masked exchange logging. • Deliver Docker setup, sample env config, REST/WebSocket hooks, and a tone & logic prompt file. 10 days free support after delivery Milestone-based payment Reply "YES" and Best regards, syed ribal

@SmartCodeDev

Hello, I can build your complete AI chat, voice, and web agent system with full CRM integration and scalable architecture. I will set up WhatsApp AI automation with multilingual support, knowledge base integration, and full chat CRM with reporting. The web app will unify all interactions from WhatsApp, voice, and site into a single dashboard with analytics and data sync. I will develop the AI voice agent for inbound and outbound calls with natural Hindi and English speech, low latency, and human escalation. All calls, chats, and outcomes will sync with CRM in real time including logs, recordings, and summaries. Payments, lead handling, and automation flows will be fully integrated with reporting export in Excel and PDF. Voice to WhatsApp handoff will be implemented so users can receive links, images, or details instantly during calls. System will be optimized for high uptime, scalability, and secure deployment with full source code ownership. You will receive complete GitHub code, documentation, deployment, and training. Timeline can follow your 3 week plan with structured milestones and testing.

@krishnaj64

With several successful LLM-integrated WhatsApp deployments under my belt, I am ready to deliver this high-reliability agent. My approach utilizes Python (FastAPI) and LangGraph for robust state management and tool-chaining, ensuring the agent accurately navigates between product lookups and FAQ retrieval. I prioritize production-ready code over experimentation to ensure your support system is scalable and context-aware from day one.

@manoval09

Hi, you need a WhatsApp automation layer that routes customer inquiries through an LLM to generate contextual responses—cutting manual support workload significantly. I'll build this with Python and the WhatsApp Cloud API, connecting directly to your LLM provider (OpenAI, Anthropic, or open-source depending on your cost constraints). The chatbot logic sits in the middle: receives messages, structures them into prompts, calls the LLM, and sends responses back through WhatsApp within seconds. I'll configure response streaming so customers don't wait for the full completion before seeing results. The backend handles rate-limiting, conversation memory, and fallback logic for edge cases. Within 24 hours of starting, I'll have a working integration between WhatsApp and your chosen LLM provider with a test conversation flow. Before I lock in the timeline, I need clarity on one detail: are you providing the LLM API keys, or should I architect for a managed solution? Also, what's your expected message volume per day? Best regards, Val

@adinanipavan

Hi, I’ve already built similar WhatsApp LLM automation systems using Evolution API and official Meta WhatsApp Cloud API please review my profile for relevant work and demos. => I can deliver a fully automated WhatsApp agent that connects to GPT/Claude via a middleware layer => I’ll design an agent framework that handles: => Intent detection (product / service / FAQ) => Context memory across conversations => Tone control (on-brand, friendly, consistent) => Tool/function calling for dynamic responses => Smart human handoff (keywords + confidence threshold) Architecture: => WhatsApp API (Meta/Evolution) → Backend (Python/Node) → LLM → Tool layer => REST/WebSocket hooks for future integrations => Secure logging with PII masking Deliverables: => Dockerized project (ready to run locally) => WhatsApp sandbox demo (3 flows: product, service, FAQ) => Clean source code + setup guide => Editable prompt/tone config file (no code changes needed) I focus on reliability, fast response, and production-ready structure not experiments Quick question: => Do you already have Meta WhatsApp Cloud API access, or should I set that up?

@MthokoD

We'll handle it don't worry. Your need for an effective, user-centric WhatsApp chat agent integrated seamlessly with a leading LLM while enforcing conversation logic and an on-brand friendly tone, aligns perfectly with our expertise. We understand the need for an automated solution that instantly recognizes requests for product details, service updates, or FAQs while allowing smooth human handoff and secure data logging. Although we are new to the Freelancer platform, we bring a wealth of real-world experience and a proven track record of successfully delivering projects beyond this platform, including automations with GPT-4 for customer support chatbots that mirror your users journeys. Let's connect and explore how we can bring your vision to life. Regards, Ahead Solutions P.S. If your not happy, which we doubt, you don't pay

@ayahamada5862

Hello, I have experience working with AI agents, LLM workflows, conversational AI systems, and automation pipelines using technologies such as Python, FastAPI, LangChain, APIs, and workflow orchestration tools. Your project requirements are very clear, and I understand the importance of: * Context-aware conversations * Tone and behavior control * Human handoff logic * Modular architecture * Reliable WhatsApp automation * Clean API integration and maintainability For this project, I can build: * WhatsApp AI support agent connected to GPT/LLM APIs * Conversation memory/context handling * Rule-based and prompt-based agent behavior * FAQ / product / service intent handling * Human escalation workflow * REST API hooks for future integrations * Logging system with masked sensitive data * Dockerized deployment setup * Editable prompt/tone configuration The system will be structured in a clean and extendable way so future updates can be added easily. I can also provide setup documentation and testing workflows for the required user journeys. Best regards, Aya

@bondoc0526

꧁ ༺ Dear client ༻ ꧂ I can make a WhatsApp chat agent that works by itself. It uses GPT-4 and talks like your brand. It can answer questions about your products and services. It can also answer questions. If it can't help someone it will send them to a human. I will give you a setup that uses Docker. It has hooks that work with REST and WebSocket. It can understand conversations. Keep a log. You can change how it talks and make decisions without touching the code. I have done this before. I have made agents that use large language models, for customer support. I can make sure it gives answers in real-time. I can give you a link to test it. Lets talk about when I can finish it. Lets talk about the technology I will use. Lets talk about how I will set it up. Thanks.

@filipesantoss31

Hi, I can deliver a complete AI communication system across WhatsApp, Voice, and Web, fully integrated with your CRM, within 3 weeks. This is not a basic bot. I will build a unified architecture that handles inbound and outbound interactions, real-time CRM sync, reporting, and a seamless user journey across all channels. The system will include WhatsApp automation, a web application with chatbot widget, and an AI voice agent with escalation to human agents. You will get: End-to-end automation from lead capture to follow-up Multilingual handling (Hindi and English) across chat and voice Real-time CRM integration with logs, outcomes, and lead tracking Structured reporting with export options Scalable backend designed for growth and reliability Clean deployment with full source code ownership and documentation The delivery will follow a strict 3-week execution plan covering development, integration, testing, and final deployment. I focus on building systems that work reliably in production, not prototypes. If you’re serious about implementing a complete AI-driven communication infrastructure, I’m ready to execute. Best regards, Filipe

@inshalxo

I understand you need a WhatsApp-based AI support agent that can handle customer conversations using LLMs and automation. I can build a clean, reliable system using OpenAI + WhatsApp API that: Handles natural conversations and FAQs Responds based on your business logic Can be extended with memory or workflow automation if needed The approach will be structured as a simple pipeline (incoming message → processing → AI response → reply) to ensure stability and scalability. Even without overcomplicating the system, I’ll make sure it works smoothly for real customer interactions. If you'd like, I can outline the exact architecture or build a quick prototype to demonstrate.

@jss13

I’ve built and deployed LLM-powered chat automation systems with WhatsApp integration, including context-aware agents, tool-calling, and human handoff flows. I can deliver a production-ready solution aligned with your requirements—no over-engineering, just reliable execution. Proposed Architecture: • WhatsApp layer: Meta Cloud API or Twilio sandbox (webhook-based) • Middleware: Node.js/Python service orchestrating LLM (GPT-4/Claude) with agent framework • Agent design: context memory (Redis/DB), tool/function calling, tone नियंत्रण via external prompt config • API hooks: REST endpoints for dynamic product/service data injection (no redeploy needed) • Logging: structured logs with PII masking for analytics Core Capabilities: • Intent detection: product info / service updates / FAQs • Context-aware replies with conversation memory • Friendly, brand-controlled tone via editable config file • Tool chaining for dynamic responses (e.g., fetch product data) • Human handoff via keyword or confidence threshold Deliverables: • Dockerized project (runs locally with env setup) • WhatsApp sandbox demo (3 flows: product / service / FAQ) • Clean, documented source code + setup guide • Prompt/tone config file for non-dev edits I’ve implemented similar LLM chat workflows and can provide a testable demo link upon request.

@maulin8

Hi, I have 8+ years of experience in IT domain and 5+ years in AI. I am looking for my 1st Freelancing project over here. I have already developed a similar use case earlier. I can give you a demo I can handover you this project in 7-8 days. Thank you

@kunalsangwan0980

As an AI enthusiast with a solid background in developing AI chatbots, I firmly believe that I have the skills and experience you're looking for in creating an automated WhatsApp chat agent. My portfolio includes successful projects in building Fully Automated Chatbots and utilizing Large Language Models (LLMs) similar to the one required for this project. This includes integrating LLMs such as GPT-4, and more through middleware layer, designing a strategic agent architecture to store and recall conversation context effectively, and implementing hooks for future product data updates. Understanding your requirement for a Docker-based project running locally using sample env variables for testing, my enriched proficiency in using OpenAI APIs together with the likes of n8n automation workflows will certainly align with your needs. Additionally, my expertise in Java backend and other known tools like Gemini can further enhance the execution of your project. With confidentiality being one of your key requirements, it is worth noting that I also have ample experience in logging exchanges (including PII masking) for later analytics.