Alphanso
B+ 88 completed
Framework
cli / python · small
95
Files
12,144
LOC
1
Frameworks
7
Languages
Pipeline State
completedRun ID
#302355Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
51.80Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #49828
Member of a group with 1 similar repo(s) — canonical #78944 view group →
Top concepts (7)
Project DescriptiontestingTestingFactoryTestingConfigurationLogging
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🧪 Code Distillation
Browse all specs →Sample distilled functions (click for full spec)
GitConflictValidator.avalidateExecutes the git diff --check command asynchronously within the object's working directory to detect any unmerged git conflicts. It accepts no explicit inputs beyond the internal state of the object, and its output is a ValidationResult object detailing the success status, command output, and exit c
GitConflictValidator.__init__Initializes a Git conflict validator instance by accepting an optional name, a maximum execution timeout, and an optional directory to run git commands within. It stores the provided working directory path internally for later use. This constructor does not return a value and has no observable side
CommandValidator.avalidateExecutes a configured command asynchronously, logging the command, working directory, and timeout details before running it. It accepts no explicit inputs beyond the object's internal state, and returns a ValidationResult object containing the command's success status, exit code, and the last specif
AI Prompt
Create a command-line framework in Python for iterative problem resolution, similar to an agentic convergence loop. I need it to manage complex workflows using a state machine orchestration pattern, ideally leveraging LangGraph concepts. The system should support defining custom workflows via YAML configuration, including nodes like `pre_actions`, `run_main_script`, `validate`, and `ai_fix`. It must handle failure by looping through `ai_fix` and `validate` steps until success or a maximum attempt count is reached. Please structure it to be production-grade and include necessary setup files like `pyproject.toml` and documentation examples.
python cli langgraph agentic workflow automation pytest yaml scripting
Generated by gemma4:latest
Catalog Information
The Alphanso project is an AI-assisted framework for iterative problem resolution.
Description
Alphanso is a framework that leverages AI to assist in resolving complex problems iteratively. It utilizes LangGraph and Claude to provide a structured approach to problem-solving. This framework aims to streamline the process of tackling intricate issues by incorporating artificial intelligence capabilities.
الوصف
هو إطار عمل يستخدم الذكاء الاصطناعي لتحسين حل المشكلات المتكررة. يستفيد من LangGraph و Claude لتقديم نهج متماسك للبحث عن الحلول. يهدف هذا الإطار إلى تسهيل عملية حل المشكلات المعقدة عن طريق دمج القدرات الذكية.
Novelty
9/10Tags
problem-resolution ai-assisted iterative-problem-solving langgraph claude
Technologies
anthropic click pydantic rich
Claude Models
claude (unknown version)
Quality Score
B+
88.3/100
Structure
97
Code Quality
83
Documentation
87
Testing
85
Practices
83
Security
100
Dependencies
80
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (63% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- 406 duplicate lines detected \u2014 consider DRY refactoring
- 1 'god files' with >500 LOC need decomposition
Security & Health
8.3h
Tech Debt (B)
Medium
DORA Rating
A
OWASP (100%)
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PASS
Quality Gate
A
Risk (2)
MIT
License
4.3%
Duplication
Languages
Frameworks
pytest
Symbols
variable128
function46
method36
class29
constant1
protocol1
Concepts (7)
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| auto_description | Project Description | <a href="#installation">Installation</a> • <a href="#quick-start">Quick Start</a> • <a href="#security">Security</a> • | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| arch_layer | testing | Detected testing layer | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| design_pattern | Factory | Found factory/create_ naming patterns | 60% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Testing | Detected from 22 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Configuration | Detected from 8 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| business_logic | Logging | Detected from 3 related files | 50% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
LLM Insights
An AI-assisted framework designed for iterative problem resolution.structured_summary
infopurpose: An AI-assisted framework designed for iterative problem resolution.
primary_domain: ml-training
reference_quality85
reuse_potential: high
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BinComp Dependency Hardening
All packages →4 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.