Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video.
Install with Tessl CLI
npx tessl i github:boisenoise/skills-collections --skill azure-ai-contentunderstanding-py71
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Document extraction for RAG
Correct package
0%
100%
Endpoint env var
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100%
DefaultAzureCredential auth
0%
100%
Correct client import
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100%
begin_analyze method
0%
100%
AnalyzeInput wrapper
0%
100%
Poller result call
100%
100%
result.contents access
0%
100%
documentSearch analyzer
0%
100%
Markdown content access
0%
100%
URL input usage
100%
100%
Without context: $0.2681 · 2m 59s · 18 turns · 19 in / 3,828 out tokens
With context: $0.3850 · 3m 2s · 22 turns · 27 in / 3,675 out tokens
Custom analyzer with structured field extraction
Correct package
0%
100%
Endpoint env var
0%
100%
DefaultAzureCredential
0%
100%
create_analyzer call
0%
100%
field_schema definition
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100%
base_analyzer_id set
0%
100%
begin_analyze with custom ID
0%
100%
AnalyzeInput wrapper
0%
100%
result.fields access
40%
100%
result.contents poller pattern
50%
100%
Without context: $0.3574 · 4m 16s · 21 turns · 26 in / 4,751 out tokens
With context: $0.4786 · 4m 39s · 28 turns · 64 in / 5,190 out tokens
Async video and audio media analysis
Async client import
0%
100%
Async credential import
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100%
Async context manager
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100%
Await begin_analyze
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100%
Await poller result
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100%
Correct media analyzer
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100%
transcript_phrases access
0%
100%
Phrase timing fields
0%
100%
key_frames access
0%
100%
AnalyzeInput wrapper
0%
100%
asyncio.run entrypoint
100%
100%
Without context: $0.3106 · 4m 26s · 19 turns · 25 in / 5,527 out tokens
With context: $0.4138 · 3m 14s · 24 turns · 27 in / 3,762 out tokens
Table of Contents
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