Ano Hito Chat

C 68 completed
Api
containerized / markdown · small
68
Files
7,902
LOC
3
Frameworks
6
Languages

Pipeline State

completed
Run ID
#371138
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
73.40
Framework unique
Isolation
Last stage change
2026-05-10 03:35:17
Deduplication group #49299
Member of a group with 3 similar repo(s) — this repo is canonical view group →
Top concepts (1)
Web Backend
All rows scored by the Repobility analyzer (https://repobility.com)

AI Prompt

I want to build a containerized web API that provides conversational AI chat capabilities. The API should be powered by integrating both OpenAI and Anthropic models. I need to use FastAPI for the backend, and since there are tests available, please include pytest for testing. The project structure should support database management using SQLAlchemy, and I'd like to ensure it's easily deployable using a Dockerfile. Please structure the project to handle configuration via environment variables.
python fastapi openai anthropic sqlalchemy docker api ai chat pytest
Generated by gemma4:latest

Catalog Information

A web API that delivers conversational AI chat powered by OpenAI and Anthropic models.

Description

This project implements a FastAPI‑based service that exposes endpoints for real‑time conversational AI. It integrates multiple large‑language‑model providers, allowing clients to choose between OpenAI and Anthropic backends. The system stores conversation history in PostgreSQL and uses Redis for caching and rate‑limiting. Designed for developers and businesses that need a flexible, scalable chat API, it solves the problem of quickly adding intelligent dialogue to applications without managing model infrastructure.

الوصف

يُقدِّم هذا المشروع خدمة قائمة على FastAPI تُعرِّف واجهة برمجة تطبيقات تسمح بإجراء محادثات ذكية في الوقت الحقيقي. يدعم المشروع دمج نماذج لغوية كبيرة متعددة، ما يتيح للمستخدمين اختيار بين OpenAI وAnthropic وفقاً لاحتياجاتهم. تُخزَّن سجلات المحادثة في قاعدة بيانات PostgreSQL، بينما يُستَخدم Redis لتخزين مؤقت وتقييد معدلات الطلبات، ما يضمن استجابة سريعة وموثوقة. يستهدف المطورين والشركات التي ترغب في إضافة حوار ذكي إلى تطبيقاتها دون الحاجة لإدارة البنية التحتية للنماذج، ويحل مشكلة دمج الذكاء الاصطناعي في واجهات المستخدم بسهولة ومرونة.

Novelty

6/10

Tags

conversational-ai chatbot llm-integration natural-language-processing real‑time-chat backend-service multi‑model-support scalable-api

Technologies

alembic anthropic fastapi openai pydantic sqlalchemy uvicorn

Claude Models

claude-opus-4.6

Quality Score

C
68.1/100
Structure
46
Code Quality
100
Documentation
34
Testing
40
Practices
85
Security
100
Dependencies
60

Strengths

  • Consistent naming conventions (snake_case)
  • Low average code complexity \u2014 well-structured code
  • Good security practices \u2014 no major issues detected
  • Containerized deployment (Docker)

Weaknesses

  • Missing README file \u2014 critical for project understanding
  • No LICENSE file \u2014 legal ambiguity for contributors
  • No CI/CD configuration \u2014 manual testing and deployment

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

4.1h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Same scanner, your repo: https://repobility.com — Repobility
Unknown
License
1.2%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

markdown
41.7%
json
37.1%
python
15.5%
sql
5.0%
ini
0.5%
text
0.3%

Frameworks

FastAPI pytest SQLAlchemy

Concepts (1)

Generated by the Repobility scanner · https://repobility.com
CategoryNameDescriptionConfidence
Open data scored by Repobility · https://repobility.com
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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