azure-openai-to-responses Skill
Migrate Python apps from Azure OpenAI Chat Completions to the Responses API. Covers AzureOpenAI/AsyncAzureOpenAI client migration to the v1 endpoint, streaming, tools, structured output, multi-turn, EntraID auth, and model compatibility checks. Python-focused, Azure OpenAI-specific. USE FOR: migrate to responses API, s Published by microsoft in ai-agents-for-beginners.
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Testing, Deployment, Includes SKILL.md, Reusable instructions
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1 month ago · MIT license
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What is azure-openai-to-responses Skill?
Migrate Python apps from Azure OpenAI Chat Completions to the Responses API. Covers AzureOpenAI/AsyncAzureOpenAI client migration to the v1 endpoint, streaming, tools, structured output, multi-turn, EntraID auth, and model compatibility checks. Python-focused, Azure OpenAI-specific. USE FOR: migrate to responses API, s Published by microsoft in ai-agents-for-beginners. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Deployment
- Testing use cases
- Deployment use cases
Declared skill metadata
- Declared license: MIT
- Source file: .agents/skills/azure-openai-to-responses/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use azure-openai-to-responses Skill
- Use it for testing.
- Use it for deployment.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/ai-agents-for-beginners
- Skill file: .agents/skills/azure-openai-to-responses/SKILL.md
What it does
Migrate Python apps from Azure OpenAI Chat Completions to the Responses API. Covers AzureOpenAI/AsyncAzureOpenAI client migration to the v1 endpoint, streaming, tools, structured output, multi-turn, EntraID auth, and model compatibility checks. Python-focused, Azure OpenAI-specific. USE FOR: migrate to responses API, s
Skill instructions
Migrate Python Apps from Azure OpenAI Chat Completions to Responses API AUTHORITATIVE GUIDANCE — FOLLOW EXACTLY This skill migrates Python codebases using Azure OpenAI Chat Completions to the unified Responses API. Follow these instructions precisely. Do not improvise parameter mappings or invent API shapes. --- Triggers Activate this skill when user wants to: - Migrate a Python app from Azure OpenAI Chat Completions to Responses API - Upgrade Python OpenAI SDK usage to the latest API shape against Azure OpenAI - Prepare Python code for GPT-5 or newer models that require Responses on Azure - Switch from AzureOpenAI/AsyncAzureOpenAI to standard OpenAI/AsyncOpenAI client with the v1 endpoint - Fix deprecation warnings related to AzureOpenAI constructors or apiversion --- ⚠️ Model Compatibility — CHECK FIRST Before migrating, verify your Azure OpenAI deployment supports the Responses API. 1. Smoke-test your deployment (fastest) python import os from openai import OpenAI client = OpenAI( a
Verified compatibility and discovery
Frequently asked questions
What is azure-openai-to-responses?
azure-openai-to-responses is a open-source AI agent skill with Copy skill directory. Migrate Python apps from Azure OpenAI Chat Completions to the Responses API.
Who is azure-openai-to-responses best for?
azure-openai-to-responses is best for reusing agent instructions, scripts, and references, testing workflows, deployment workflows.
How do I install azure-openai-to-responses?
Install or run azure-openai-to-responses using Copy skill directory. Check azure-openai-to-responses for the latest setup command.
Is azure-openai-to-responses actively maintained?
azure-openai-to-responses may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
