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Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket.
Passed 25 of 25 test cases with the skill, and 16 of 25 without it.
and 12 more in the full report
9 fixed16 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
When streaming spoken narration via Azure OpenAI Realtime API, which event type provides the corresponding partial text transcript: response.audio_transcript.delta or response.output_audio_transcript.delta?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies response.output_audio_transcript.delta as the transcript chunk event | Missed | Passed |
The instructions your model reads when the skill loads.
Generate real audio narratives from text content using Azure OpenAI's Realtime API.
AZURE_OPENAI_AUDIO_API_KEY=your_realtime_api_key
AZURE_OPENAI_AUDIO_ENDPOINT=https://your-resource.cognitiveservices.azure.com
AZURE_OPENAI_AUDIO_DEPLOYMENT=gpt-realtime-mini
Note: Endpoint should NOT include /openai/v1/ - just the base URL.
from openai import AsyncOpenAI
import base64
# Convert HTTPS endpoint to WebSocket URL
ws_url = endpoint.replace("https://", "wss://") + "/openai/v1"
client = AsyncOpenAI(
websocket_base_url=ws_url,
api_key=api_key
)
audio_chunks = []
transcript_parts = []
test cases passed, vs 16 / 25 without
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