Browse categories
Explore
Fiverr Pro
English
$
USD
I will build ai fastapi apis with docker and ci cd
Inam Rab
About this gig
Build a Lightweight GPT-Style Support Bot
Need a customer support assistant that looks smart without needing API keys or subscriptions? Ill build you a FastAPI-based REST endpoint powered by a mock GPT agent. This solution is perfect for testing workflows, demos, internal tools, or front-end integrations before going live with OpenAI.
What you get
I. A fully containerized backend (Dockerfile included)
II. /ask POST endpoint that returns mock GPT-style replies
III. Built with FastAPI + LangChain community agent
IV. Local development mode + GPT-4-ready if you add a key
V. Clear README and curl examples included
VI. No OpenAI key? No problem. The bot will still return structured, helpful answers for support-like queries.
Whether you're a startup testing customer journeys or a developer building a proof of concept, this bot delivers structure without the weight of full integration.
Lets get your support pipeline moving.
Get to know Inam Rab
Inam Rab
Embedded Firmware AI Automation and Cloud Engineer
- FromUnited States
- Member sinceJan 2025
Languages
English
I'm a Senior Electrical & Software Engineer specializing in embedded systems, Python backend development, AI automation, and cloud infrastructure. I develop embedded firmware in C/C++ for STM32 and related microcontrollers, build Python APIs and automation workflows, and work with AWS, Docker, GitHub Actions, and Red Hat Enterprise Linux. I focus on reliable, secure, and maintainable systems that solve real engineering problems and scale with business needs.
My Portfolio
Other Software Development Services I Offer
FAQ
Will this bot work without an OpenAI key?
Yes, the bot ships with a mock mode by default. It responds with structured, GPT-style answers for testing and demo purposes.
Can I later connect it to GPT-4 or OpenAI?
Absolutely. Just add your OpenAI key to the environment variables, and the same /ask endpoint will use real LLM responses.
Is this suitable for production use?
This version is designed for testing, staging, or internal use. If you need production-grade scaling or security features, I can customize it.
Will I get Docker support?
Yes, the project includes a working Dockerfile and sample run instructions. You can spin it up locally or deploy it to any container host.
