Chilkat2-Python

Azure AI Foundry Query

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This is the simplest example of using Chilkat with Azure AI Foundry. Chilkat2-Python

import sys
import chilkat2

success = False

# This example assumes the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.

ai = chilkat2.Ai()

# For Azure AI Foundry we use "custom".
ai.Provider = "custom"

# The base URL format for the Chat Completions API when using the cognitiveservices.azure.com domain is:
# https://{resource-name}.cognitiveservices.azure.com/openai/deployments/{deployment-id}/chat/completions?api-version={api-version}

# The string "{deployment}" in the base URL is dynamically replaced with the selected AI model each time a request is sent.
# In this case, the chosen model (below) is "gpt-4o".  After substitution the base URL becomes: 
# https://chilkat.cognitiveservices.azure.com/openai/deployments/gpt-4o/chat/completions?api-version=2025-01-01-preview

# In this example, our resource name is "chilkat", and the api-version is "2025-01-01-preview"
ai.BaseUrl = "https://chilkat.cognitiveservices.azure.com/openai/deployments/{deployment}/chat/completions?api-version=2025-01-01-preview"
ai.ApiSpec = "ChatCompletions"

# Use your provider's API key.
ai.ApiKey = "MY_API_KEY"

# Choose a model.
ai.Model = "gpt-4o"

# Add a text input.
ai.InputAddText("Say Hello.")

# Ask the AI for text output.
success = ai.Ask("text")
if (success == False):
    print(ai.LastErrorText)
    sys.exit()

# Get the text response.
sbResponse = chilkat2.StringBuilder()
ai.GetOutputTextSb(sbResponse)
print(sbResponse.GetAsString())

# Sample output:
# Hello! How can I assist you today?

# -------------------------------------------------------------
# The response is in markdown format.
# Also see Markdown to HTML Conversion Examples.
# -------------------------------------------------------------