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End-to-End Agent Deployment

April 21, 2026, 02:00 Europe/Berlin
0 people attended
Alexey Grigorev

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Starting from a Jupyter notebook that runs an agentic-RAG bot, we turn it into a FastAPI service with a vanilla-JS frontend, containerize it, deploy it to Railway, and add a GitHub Actions CI/CD pipeline. Most of the code-writing work is delegated to a coding agent (Claude Code), and the exact prompts I used are quoted verbatim.

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The app you will build

The final app looks like this:

flowchart LR UI["Frontend UI vanilla JS, SSE"] API["FastAPI app"] AGENT["Agent loop"] SEARCH["FAQ search tool minsearch"] OPENAI["OpenAI Responses API"] UI -->|POST /ask or /ask/stream| API API --> AGENT AGENT -->|tool call| SEARCH AGENT -->|model call| OPENAI API -->|JSON or SSE| UI

The final app is a minimal teaching-assistant chatbot for the DataTalks.Club Data Engineering Zoomcamp FAQ. One tool is exposed to the model: search(query). Everything else is the web layer, the container, and the deploy pipeline.

Appendix

A file inventory of the final repo is in Appendix: file inventory.

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