Rag Frontend Integration Spec.spec.prompt

---
id: 1
title: rag-frontend-integration-spec
stage: spec
date: 2026-01-06
surface: agent
model: claude-sonnet-4-5-20250929
feature: rag-frontend-integration
branch: 001-rag-frontend-integration
user: Waqar-5
command: /sp.specify
labels: ["spec", "rag", "fastapi", "integration"]
links:
  spec: specs/001-rag-frontend-integration/spec.md
  ticket: null
  adr: null
  pr: null
files:
 - specs/001-rag-frontend-integration/spec.md
 - specs/001-rag-frontend-integration/checklists/requirements.md
tests:
 - none
---

## Prompt

Integrated backend RAG system with frontend using fastapi

Target audience: Developers connecting RAG backends to web frontend
focus: Seamless API-based communication between frontend and RAG agent


Success criteria:
- FastAPI server exposes a query endpoint
- Frontend can send queries and receive agent responses
- Backend successfully calls the agent (Spec-3) with retrieval
- local integration works end-to-end without errors

Constraints:
- Tech stack: Python, FastAPI, OpenAI agents SDK
- Environment: Local development setup
- Format: JSON-based request/response

## Response snapshot

Created a comprehensive feature specification for integrating a RAG system with a frontend via FastAPI. The spec includes user scenarios, functional requirements, key entities, and success criteria. The specification covers API endpoint design, error handling, query processing, and response formatting for seamless communication between frontend applications and the RAG agent.

## Outcome

- ✅ Impact: Created complete feature specification for RAG frontend integration with FastAPI
- 🧪 Tests: none
- 📁 Files: specs/001-rag-frontend-integration/spec.md, specs/001-rag-frontend-integration/checklists/requirements.md
- 🔁 Next prompts: /sp.plan to create implementation plan
- 🧠 Reflection: The specification follows SDD principles and provides clear requirements for developers

## Evaluation notes (flywheel)

- Failure modes observed: None
- Graders run and results (PASS/FAIL): Not applicable
- Prompt variant (if applicable): Not applicable
- Next experiment (smallest change to try): Not applicable