Backend fastapi

Skill bg-szy/TOP-SKILLS/skills/marketplace/backend-fastapi

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Install

npx -y skills add bg-szy/TOP-SKILLS --skill backend-fastapi

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What its author says it does

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Documentation for the FastAPI backend, endpoints, and dependency injection.

SKILL.md

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Backend Architecture (FastAPI)

Overview

The backend is a FastAPI application located in backend/. It powers the chatbot and RAG functionality.

Entry Point

File: backend/main.py
Run: uvicorn backend.main:app --reload (or via npm run dev)
Port: Defaults to 8000.

Endpoints

`POST /api/chat`

Purpose: Main RAG chat endpoint.
Input: ChatRequest (query, history, user_context).
Process:
1. Embed query.
2. Search Qdrant (search_qdrant).
3. Build prompt (build_rag_prompt).
4. Generate Agent response.
Output: ChatResponse (answer, contexts).

`POST /api/ask-selection`

Purpose: Targeted Q&A on selected text.
Input: AskSelectionRequest (question, selected_text).
Process:
1. Validates selection length.
2. Builds selection-specific prompt.
3. specific Agent instructions.

Dependencies & Utils

backend/utils/config.py: Qdrant initialization.
backend/utils/helpers.py: Embedding and Prompt building logic.
backend/models.py: OpenAI/Gemini client setup.

Environment Variables

GEMINI_API_KEY: For LLM and Embeddings.
QDRANT_URL, QDRANT_API_KEY: Vector DB connection.