AI Agents for Beginners is a course that teaches the fundamentals of building AI agents through a sequence of lessons. People learning generative AI and agent development use it to study topics and frameworks including AutoGen and Semantic Kernel. The catalogue entries provide skills, instructions, and an agent related to the course.
Borrowing it
Nothing to install: this file belongs to microsoft/ai-agents-for-beginners. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/microsoft/ai-agents-for-beginners/main/.agents/skills/azure-openai-to-responses/SKILL.mdgit clone --depth 1 https://github.com/microsoft/ai-agents-for-beginnersWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/microsoft/ai-agents-for-beginners/azure-openai-to-responses)<a href="https://agentmods.dev/skills/microsoft/ai-agents-for-beginners/azure-openai-to-responses"><img src="https://agentmods.dev/badge/skills/microsoft/ai-agents-for-beginners/azure-openai-to-responses/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/microsoft/ai-agents-for-beginners/azure-openai-to-responses"><img src="https://agentmods.dev/badge/skills/microsoft/ai-agents-for-beginners/azure-openai-to-responses.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00185 | $0.05958 |
| Opus 5 | $0.00093 | $0.02979 |
| Sonnet 5 | $0.00037 | $0.01192 |
| Haiku 4.5 | $0.00018 | $0.00596 |
Grade A, and why
azure-openai-to-responses scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 435 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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/AsyncAzureOpenAIto standardOpenAI/AsyncOpenAIclient with the v1 endpoint - Fix deprecation warnings related to
AzureOpenAIconstructors orapi_version
⚠️ Model Compatibility — CHECK FIRST
Before migrating, verify your Azure OpenAI deployment supports the Responses API.
1. Smoke-test your deployment (fastest)
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AZURE_OPENAI_API_KEY"],
base_url=f"{os.environ['AZURE_OPENAI_ENDPOINT'].rstrip('/')}/openai/v1/",
)
try:
resp = client.responses.create(
model=os.environ["AZURE_OPENAI_DEPLOYMENT"],
input="ping",
max_output_tokens=50,
store=False,
)
print(f"✅ Deployment supports Responses API: {resp.output_text}")
except Exception as e:
print(f"❌ Deployment does NOT support Responses API: {e}")
Note:
max_output_tokenshas a minimum of 16 on Azure OpenAI. Values below 16 return a 400 error. Use 50+ for smoke tests.
If this returns a 404, the deployment's model doesn't support Responses yet — check the reference below or redeploy with a supported model.
2. Check available models in your region (recommended)
Run the built-in model compatibility tool to see what's available with Responses API support in your specific region:
python migrate.py models --subscription YOUR_SUB_ID --location YOUR_REGION
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 435 lines · 185 tokens per session scan A d5ca4662b105
azure-openai-to-responses is a skill published in the GitHub repository microsoft/ai-agents-for-beginners (74,336 stars, last pushed yesterday), licensed MIT. It adds 185 tokens to every session and 5,958 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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