azure-ai-translation-text-py

Topics in the source

• Azure AI Text Translation SDK for Python
• Installation
• Environment Variables
• Authentication & Lifecycle
• Legacy: API Key (existing keyed deployments)
• Basic Translation
• Translate to Multiple Languages
• Specify Source Language

Client library for Azure AI Translator text translation service for real-time text translation, transliteration, and language operations. 🔑 Two rules apply to every code sample below: 1. Prefer DefaultAzureCredential. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation. - Local dev: DefaultAzureCredential works as-is. - Production: set AZURETOKENCREDENTIALS=prod (or AZURETOKENCREDENTIALS= ) to constrain the credential chain to production-safe credentials. 2. Wrap every client in a context manager so HTTP transports, sockets, and token caches are released deterministically: - Sync: with (...) as client: - Async: async with (...) as client: and async with DefaultAzureCredential() as credential: (from azure.identity.aio) Snippets may abbreviate this setup, but production code should always follow both rules. New code should use DefaultAzureCredential above. The Translator service has two specifics that make API-key auth still common in existing deployments: Token-credential auth requires a custom subdomain endpoint (https:// .cog

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