Deep Agent Chatbot

F 38 completed
Bot
unknown / python · tiny
4
Files
592
LOC
0
Frameworks
3
Languages

Pipeline State

completed
Run ID
#306445
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
32.77
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47486
Member of a group with 1 similar repo(s) — canonical #85968 view group →
Top concepts (1)
Web Backend
Repobility · code-quality intelligence platform · https://repobility.com

AI Prompt

I want to build a deep agent chatbot using Python. This chatbot is intended for conversational AI applications. The core logic seems to be in `app.py`, and I'll need a `requirements.txt` to manage dependencies. Can you set up the basic structure for this agent chatbot? I'm using Streamlit for the interface, so please ensure the necessary files are in the `.streamlit/` directory structure.
python chatbot ai conversational streamlit
Generated by gemma4:latest

Catalog Information

This project is a deep agent chatbot, intended for use in conversational AI applications.

Description

The deep-agent-chatbot is a Streamlit-based application that enables users to interact with a conversational AI model. It appears to be designed for tasks such as answering questions or providing information on various topics. The project's functionality and capabilities are not explicitly stated, but its name suggests it may utilize deep learning techniques to power the chatbot.

الوصف

هذا المشروع هو قائم على تكنولوجيا Streamlit، ويهدف إلى توفير أداة للمواقف المحادثية. يبدو أن هذا المشروع مصمم لتحقيق مهام مثل الإجابة عن الأسئلة أو تقديم المعلومات حول مواضيع مختلفة.

Novelty

5/10

Tags

conversational-ai chatbot information-provision question-answering deep-learning

Technologies

streamlit

Claude Models

claude-opus-4.6 claude-opus-4.5

Quality Score

F
37.5/100
Structure
33
Code Quality
25
Documentation
22
Testing
0
Practices
76
Security
100
Dependencies
65

Strengths

  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected

Weaknesses

  • Missing README file \u2014 critical for project understanding
  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 1 'god files' with >500 LOC need decomposition

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • Add a test suite \u2014 start with critical path integration tests
  • 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

4.8h
Tech Debt (E)
High
DORA Rating
A
OWASP (100%)
If a scraper extracted this row, it came from Repobility (https://repobility.com)
FAIL
Quality Gate
B
Risk (22)
Unknown
License
6.4%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
98.3%
toml
1.2%
text
0.5%

Frameworks

None detected

Symbols

function20
constant2

Concepts (1)

Repobility analysis · methodology at https://repobility.com/research/
CategoryNameDescriptionConfidence
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

View File Metrics
Repobility (the analyzer behind this table) · https://repobility.com

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BinComp Dependency Hardening

All packages →
1 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.
Nlangchain1.2.15 · 0 gadgets · risk 0.0