Azure AI Foundry: Public Access Connectivity and Function Testing

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Azure AI Foundry BlogNick Brady

Azure AI Foundry consolidates Azure's scattered AI service into a cohesive whole, reducing developmnet complexity. Addtionally, whether or not you choose to use private endpoints will affect the URL of the API Endpoint

Here, I will demostrate using the real Azure AI Foundry API.

https://aif-pichuang-jpe.service.ai.azure.com

Verfication Function via Public Access

Overview of Azure OpenAI

Azure OpenAI: Language APIs

#!/bin/bash
ENDPOINT="https://aif-pichuang-jpe.openai.azure.com/"
AZURE_REGION="japaneast"
AZURE_SUBSCRIPTION_KEY="pichuangishandsome"

# Check Private IP
dig +short aif-pichuang-jpe.openai.azure.com

curl -X POST "${ENDPOINT}/language/:analyze-text?api-version=2022-05-01" \
-H "Ocp-Apim-Subscription-Key: $AZURE_SUBSCRIPTION_KEY" \
-H "Content-Type: application/json" \
-d '{
    "kind": "LanguageDetection",
    "parameters": {
        "modelVersion": "latest"
    },
    "analysisInput":{
        "documents":[
            {
                "id":"1",
                "text": "小飛機 is an CNCF ambassador, he is a senior cloud solution architect at Microsoft Taiwan."
            },
            {
                "id":"2",
                "text": "Phil Huang 是一位台灣微軟架構師，專注於如何通靈"
            }
        ]
    }
}'

Azure OpenAI: Document Intelligence

#!/bin/bash
ENDPOINT="https://aif-pichuang-jpe.openai.azure.com"
AZURE_REGION="japaneast"
AZURE_SUBSCRIPTION_KEY="pichuangishandsome"

response_headers=$(mktemp)
http_status=$(curl -s -D "${response_headers}" -o /dev/null -w "%{http_code}" -X POST \
  "${ENDPOINT}/documentintelligence/documentModels/prebuilt-layout:analyze?api-version=2024-07-31-preview" \
  -H "Content-Type: application/json" \
  -H "Ocp-Apim-Subscription-Key: ${AZURE_SUBSCRIPTION_KEY}" \
  --data-ascii '{"urlSource": "https://transflow.tw/wp-content/uploads/2025/04/IMG_1748-scaled.jpg"}')

echo "HTTP Status Code: ${http_status}"
echo "HTTP Response Header: $(cat ${response_headers})"

location=$(grep -i "^operation-location:" "${response_headers}" | awk '{print $2}' | tr -d '\r\n')
analyze_id=$(echo "${location}" | grep -oE '[0-9a-fA-F-]{8}-[0-9a-fA-F-]{4}-[0-9a-fA-F-]{4}-[0-9a-fA-F-]{4}-[0-9a-fA-F-]{12}')

echo "Analyze ID: ${analyze_id}"
echo "Waiting for analysis to complete after 10 seconds..."
sleep 10

rm -f "${response_headers}"

# Put analyze result
curl -i -X GET \
-H "Ocp-Apim-Subscription-Key: ${AZURE_SUBSCRIPTION_KEY}" \
"${ENDPOINT}/documentintelligence/documentModels/prebuilt-layout/analyzeResults/${analyze_id}?api-version=2024-07-31-preview"

Azure OpenAI: Whisper APIs

Need to deploy Whisper Model before testing

Azure OpenAI: Dall-e APIs

Need to deploy Dall-e Model before testing

Overview of Speech APIs

List of Voice

#!/bin/bash
AZURE_REGION="japaneast"
AZURE_SUBSCRIPTION_KEY="pichuangishandsome"

curl --location --request GET "https://${AZURE_REGION}.tts.speech.microsoft.com/cognitiveservices/voices/list" \
--header "Ocp-Apim-Subscription-Key: ${AZURE_SUBSCRIPTION_KEY}"

Speech API: Text to Speech (Neural)

#!/bin/bash
AZURE_REGION="japaneast"
AZURE_SUBSCRIPTION_KEY="pichuangishandsome"
OUTPUT_FILENAME="test_audio.wav"
TOKEN_FILENAME="token.txt"

curl -X POST \
  "https://${AZURE_REGION}.api.cognitive.microsoft.com/sts/v1.0/issueToken" \
  -H "Ocp-Apim-Subscription-Key: $AZURE_SUBSCRIPTION_KEY" \
  -H "Content-Type: application/x-www-form-urlencoded" \
  -H "Content-Length: 0" > ${TOKEN_FILENAME}

# echo "Access token: $(cat $TOKEN_FILENAME)"

curl -X POST \
  "https://${AZURE_REGION}.tts.speech.microsoft.com/cognitiveservices/v1" \
  -H "Authorization: Bearer $(cat ${TOKEN_FILENAME})" \
  -H "Content-Type: application/ssml+xml" \
  -H "X-Microsoft-OutputFormat: riff-24khz-16bit-mono-pcm" \
  -d '<speak version="1.0" xmlns="http://www.w3.org/2001/10/synthesis" xml:lang="zh-TW">
        <voice name="zh-TW-HsiaoChenNeural">
          Hello, this is a test message. Phil Huang is happy to be here.
          This is a health check for Azure Text-to-Speech service.
        </voice>
      </speak>' \
  --output ${OUTPUT_FILENAME}

file ${OUTPUT_FILENAME}

Speech API: Speech to Text

#!/bin/bash
AZURE_REGION="japaneast"
AZURE_SUBSCRIPTION_KEY="pichuangishandsome"
OUTPUT_FILENAME="test_audio.wav"

curl --location --request POST "https://${AZURE_REGION}.stt.speech.microsoft.com/speech/recognition/conversation/cognitiveservices/v1?language=en-US&format=detailed" \
--header "Ocp-Apim-Subscription-Key: $AZURE_SUBSCRIPTION_KEY" \
--header "Content-Type: audio/wav; codecs=audio/pcm; samplerate=16000" \
--data-binary "@$OUTPUT_FILENAME"

Speech API: Custom Voice

WIP

Overview of Translator APIs

Translator API: Text Translation

#!/bin/bash
ENDPOINT_TRANSLATOR="https://api.cognitive.microsofttranslator.com/translate?api-version=3.0"
TO_LANG="zh-Hant"
TO_LANG_2="ja"
AZURE_REGION="japaneast"
AZURE_SUBSCRIPTION_KEY="pichuangishandsome"
TEXT="Currently testing Azure Translator. If you see this line, it means it was successful. Phil Huang is a very busy cloud architect at Microsoft"

curl -X POST "${ENDPOINT_TRANSLATOR}&to=${TO_LANG}&to=${TO_LANG_2}" -H "Ocp-Apim-Subscription-Key: ${AZURE_SUBSCRIPTION_KEY}" -H "Ocp-Apim-Subscription-Region: ${AZURE_REGION}" -H "Content-Type: application/json; charset=UTF-8" -d "[{'Text':'${TEXT}'}]"; echo

Translator API: Document Translation

#!/bin/bash

ENDPOINT_DOCUMENT_TRANSLATOR="https://aif-pichuang-jpe.cognitiveservices.azure.com/translator/text/v3.0/translate?api-version=3.0"
AZURE_SUBSCRIPTION_KEY="pichuangishandsome"
FROM_LANG="en"
TO_LANG="zh-Hant"
TEXT="Currently testing Azure Translator. If you see this line, it means it was successful"

curl -X POST "$ENDPOINT_DOCUMENT_TRANSLATOR&from=$FROM_LANG&to=$TO_LANG" -H "Ocp-Apim-Subscription-Key: $AZURE_SUBSCRIPTION_KEY" -H "Content-Type: application/json" -d "[{'Text':'$TEXT'}]"; echo