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Prompts Azure Python Transcription SDK Guide

developer tool_use skill risk: low

Azure Python Transcription SDK Guide

Provides installation instructions, authentication code, batch and real-time transcription examples, and best practices for the azure-ai-transcription Python client.

SKILL 1 file

SKILL.md
---
name: azure-ai-transcription-py
description: "Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization."
---
# Azure AI Transcription SDK for Python

Client library for Azure AI Transcription (speech-to-text) with real-time and batch transcription.

## Installation

```bash
pip install azure-ai-transcription
```

## Environment Variables

```bash
TRANSCRIPTION_ENDPOINT=https://<resource>.cognitiveservices.azure.com
TRANSCRIPTION_KEY=<your-key>
```

## Authentication

Use subscription key authentication (DefaultAzureCredential is not supported for this client):

```python
import os
from azure.ai.transcription import TranscriptionClient

client = TranscriptionClient(
    endpoint=os.environ["TRANSCRIPTION_ENDPOINT"],
    credential=os.environ["TRANSCRIPTION_KEY"]
)
```

## Transcription (Batch)

```python
job = client.begin_transcription(
    name="meeting-transcription",
    locale="en-US",
    content_urls=["https://<storage>/audio.wav"],
    diarization_enabled=True
)
result = job.result()
print(result.status)
```

## Transcription (Real-time)

```python
stream = client.begin_stream_transcription(locale="en-US")
stream.send_audio_file("audio.wav")
for event in stream:
    print(event.text)
```

## Best Practices

1. **Enable diarization** when multiple speakers are present
2. **Use batch transcription** for long files stored in blob storage
3. **Capture timestamps** for subtitle generation
4. **Specify language** to improve recognition accuracy
5. **Handle streaming backpressure** for real-time transcription
6. **Close transcription sessions** when complete

## When to Use
This skill is applicable to execute the workflow or actions described in the overview.

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

REQUIRED CONTEXT

  • task clearly matches transcription workflow

ROLES & RULES

  1. Use this skill only when the task clearly matches the scope described above.
  2. Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  3. Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

EXPECTED OUTPUT

Format
markdown
Constraints
  • include code examples
  • list best practices
  • specify when to use and limitations

EXAMPLES

Includes code examples for installation, authentication, batch transcription, and real-time transcription.

CAVEATS

Missing context
  • How the AI should format responses or use the provided code/examples
  • Python version or dependency constraints
Ambiguities
  • The phrase 'workflow or actions described in the overview' is unclear because no explicit overview section exists.

QUALITY

OVERALL
0.50
CLARITY
0.75
SPECIFICITY
0.65
REUSABILITY
0.25
COMPLETENESS
0.55

IMPROVEMENT SUGGESTIONS

  • Replace the generic 'When to Use' paragraph with explicit instructions on when and how an agent should invoke or reference this skill.
  • Add a required output format section for any code or explanations generated from this prompt.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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