Dashboard / Repos / Apo Adk Cli

Apo Adk Cli

C+ 77 completed
Cli Tool
cli / markdown · tiny
26
Files
1,644
LOC
0
Frameworks
5
Languages
OverviewFiles & MetricsGit ActivityCall GraphSecurityReports

Pipeline State

completed
Run ID
#371125
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
31.81
Framework unique
—
Isolation
—
Last stage change
2026-04-16 18:15:42
Deduplication group #49659
Member of a group with 1 similar repo(s) — canonical #9153 view group →
Top concepts (2)
Project DescriptionWeb Backend
Same scanner, your repo: https://repobility.com — Repobility

AI Prompt

Create a command-line interface (CLI) tool that implements the Automatic Prompt Optimization (APO) algorithm. This tool should take an initial LLM prompt and automatically optimize it using gradient-based beam search. The core functionality involves iteratively evaluating the prompt, having an LLM critique the results to generate "textual gradients," and then using another LLM to edit and improve the prompt candidates. It needs to support flexible model access via LiteLLM for various LLM providers. Additionally, please ensure the CLI can launch a real-time dashboard at `http://localhost:4747` during optimization, which should display tabs for Rollouts, Resources, Traces, Runners, and Settings.
cli python llm prompt-optimization ai beam-search agentlightning command-line
Generated by gemma4:latest

Catalog Information

Optimizes AI prompts automatically using the APO algorithm for improved model responses.

Description

This tool automatically refines prompts for large language models using the APO algorithm, aiming to increase response relevance and accuracy. It accepts a base prompt and iteratively generates variations, evaluating each against a defined objective function. The command‑line interface allows quick integration into existing workflows, while rich output formatting provides clear visual feedback. Target users include AI developers and prompt engineers who need efficient, reproducible prompt tuning. By reducing manual trial‑and‑error, it saves time and improves model performance across diverse applications.

الوصف

يُحسّن هذا البرنامج أوامر الذكاء الاصطناعي تلقائيًا باستخدام خوارزمية APO، ما يرفع دقة وملاءمة استجابات النماذج اللغوية. يستقبل البرنامج أمرًا أساسيًا ثم يُنشئ مجموعة من التعديلات، ويقيم كل تعديل وفقًا لدالة هدف محددة. يتيح واجهة سطر الأوامر دمجًا سريعًا في سير العمل الحالي، بينما يُظهر تنسيق rich مخرجات واضحة وسهلة القراءة. يستهدف المطورين المهتمين بالذكاء الاصطناعي ومهندسي الأوامر الذين يحتاجون إلى ضبط أوامر فعّال ومتكرر. يساهم في تقليل الجهد اليدوي والتجربة والخطأ، مما يسرّع عملية تحسين أداء النماذج في تطبيقات متعددة.

Novelty

7/10

Tags

prompt-optimization ai-model-tuning openai-integration command-line-interface automation performance-improvement text-generation-enhancement

Technologies

click openai rich

Claude Models

claude-opus-4.6

Quality Score

C+
77.4/100
Structure
75
Code Quality
100
Documentation
63
Testing
50
Practices
69
Security
100
Dependencies
60

Strengths

  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Low average code complexity \u2014 well-structured code
  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No CI/CD configuration \u2014 manual testing and deployment

Recommendations

  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

4.1h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (6)
Open data scored by Repobility · https://repobility.com
Unknown
License
0.0%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

markdown
64.0%
python
33.9%
toml
1.3%
json
0.6%
text
0.1%

Frameworks

None detected

Concepts (2)

Per-row analysis by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Repobility · code-quality intelligence platform · https://repobility.com
auto_descriptionProject Description<a href="https://arxiv.org/abs/2305.03495">APO Paper</a> &middot; <a href="https://microsoft.github.io/agent-lightning/latest/algorithm-zoo/apo/">AgentLightning Docs</a> &middot;80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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