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B-

Overall LLM Stack Grade

Your LLM infrastructure is good

How we scored this

Your overall score of 69 (B-) is a weighted average across 10 dimensions. Vendor Lock-in is your strongest area at 100 (A), while RAG Pipeline is pulling the score down at 33 (D).

Improving RAG Pipeline from D to a B would add ~3 points to your overall score.

6,179
716
Apache-2.0elevenlabsgeminigenainotebooklmopenai

LLM Providers

0

LLM Call Locations

0

Models Detected

0

Files Analyzed

0
0

Complexity

advanced

3 active signals across 3 categories

Optimization Opportunities
B-
2 issues found

1

High Impact

1

Medium Impact

0

Low Impact

Top Priorities

1

No rate limiting library detected on API calls

high
2

Vector store detected without embedding deduplication — may re-embed same content

medium
Repository Health

6,179

Stars

716

Forks

111

Open issues

PythonTeXDockerfileMakefile

Languages

Created 9/30/2024Updated 4/6/2026
B-

Overall LLM Stack Grade

Your LLM infrastructure is good

How we scored this

Your overall score of 69 (B-) is a weighted average across 10 dimensions. Vendor Lock-in is your strongest area at 100 (A), while RAG Pipeline is pulling the score down at 33 (D).

Improving RAG Pipeline from D to a B would add ~3 points to your overall score.

6,179
716
Apache-2.0elevenlabsgeminigenainotebooklmopenai

LLM Providers

0

LLM Call Locations

0

Models Detected

0

Files Analyzed

0
0

Complexity

advanced

3 active signals across 3 categories

Optimization Opportunities
B-
2 issues found

1

High Impact

1

Medium Impact

0

Low Impact

Top Priorities

1

No rate limiting library detected on API calls

high
2

Vector store detected without embedding deduplication — may re-embed same content

medium
Repository Health

6,179

Stars

716

Forks

111

Open issues

PythonTeXDockerfileMakefile

Languages

Created 9/30/2024Updated 4/6/2026