agent-framework-azure-ai-py

agent-framework-azure-ai-py is a skill for Claude Code from satnamrsm/https-github.com-sickn33-antigravity-awesome-skills. It costs 48 tokens per session (2,126 once invoked), scanned A, a copy of agent-framework-azure-ai-py, MIT.

A Python framework for building persistent AI agents in Azure AI Foundry, Microsoft's cloud service for creating and managing AI applications. It supports functions, hosted tools, and MCP tools, with conversation state stored in agent threads.

In plain words
What is it for?
Use it to create Azure AI Foundry agents, connect hosted code, search, web, or MCP tools, and run agents normally or as streams.
Why use it?
It provides a documented way to create Azure-hosted agents whose conversations can persist across runs.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the antigravity-awesome-skills plugin — 198 skills shipped together

Good fit Use it to create Azure AI Foundry agents, connect hosted code, search, web, or MCP tools, and run agents normally or as streams.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/agent-framework-azure-ai-py
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add satnamrsm/https-github.com-sickn33-antigravity-awesome-skills --skill agent-framework-azure-ai-py
Clone the repo
git clone --depth 1 https://github.com/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills

Made for: Claude Code.

Or install antigravity-awesome-skills, the plugin that ships this one along with the rest of its 198 skills.

Wrote 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.

agentmods badge for agent-framework-azure-ai-py

README.md
[![agentmods](https://agentmods.dev/badge/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/agent-framework-azure-ai-py.svg)](https://agentmods.dev/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/agent-framework-azure-ai-py)
Your own site
<a href="https://agentmods.dev/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/agent-framework-azure-ai-py"><img src="https://agentmods.dev/badge/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/agent-framework-azure-ai-py.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,126 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 77% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.02126
Opus 5 $0.00024 $0.01063
Sonnet 5 $0.00010 $0.00425
Haiku 4.5 $0.00005 $0.00213

Measured 8d ago against content hash a035fc806be2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

agent-framework-azure-ai-py 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 8d 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.

Origin

This is a copy

77% identical to agent-framework-azure-ai-py — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/agent-framework-azure-ai-py/SKILL.md · 339 lines

How it starts

The opening of the file, as written. The whole thing — 339 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Framework Azure Hosted Agents

Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.

Architecture

User Query → AzureAIAgentsProvider → Azure AI Agent Service (Persistent)
                    ↓
              Agent.run() / Agent.run_stream()
                    ↓
              Tools: Functions | Hosted (Code/Search/Web) | MCP
                    ↓
              AgentThread (conversation persistence)

Installation

# Full framework (recommended)
pip install agent-framework --pre

# Or Azure-specific package only
pip install agent-framework-azure-ai --pre

Environment Variables

export AZURE_AI_PROJECT_ENDPOINT="https://<project>.services.ai.azure.com/api/projects/<project-id>"
export AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
export BING_CONNECTION_ID="your-bing-connection-id"  # For web search

Authentication

from azure.identity.aio import AzureCliCredential, DefaultAzureCredential

# Development
credential = AzureCliCredential()

# Production
credential = DefaultAzureCredential()

Core Workflow

Basic Agent

import asyncio
from agent_framework.azure import AzureAIAgentsProvider
from azure.identity.aio import AzureCliCredential

async def main():
    async with (
        AzureCliCredential() as credential,
        AzureAIAgentsProvider(credential=credential) as provider,
    ):
        agent = await provider.create_agent(
            name="MyAgent",
            instructions="You are a helpful assistant.",
        )
        
        result = await agent.run("Hello!")
        print(result.text)

asyncio.run(main())

Agent with Function Tools

from typing import Annotated
from pydantic import Field
from agent_framework.azure import AzureAIAgentsProvider
from azure.identity.aio import AzureCliCredential

def get_weather(
    location: Annotated[str, Field(description="City name to get weather for")],
) -> str:
    """Get the current weather for a location."""
    return f"Weather in {location}: 72°F, sunny"

def get_current_time() -> str:
    """Get the current UTC time."""
    from datetime import datetime, timezone
    return datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S UTC")

async def main():
    async with (
        AzureCliCredential() as credential,
        AzureAIAgentsProvider(credential=credential) as provider,
    ):
        agent = await provider.create_agent(
            name="WeatherAgent",
            instructions="You help with weather and time queries.",
            tools=[get_weather, get_current_time],  # Pass functions directly
        )
        
        result = await agent.run("What's the weather in Seattle?")
        print(result.text)

Read the full file on GitHub · 339 lines

Changes

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.

  1. 8d ago First seen · 339 lines · 48 tokens per session scan A a035fc806be2

Subscribe to this mod's changes

agent-framework-azure-ai-py is a skill published in the GitHub repository satnamrsm/https-github.com-sickn33-antigravity-awesome-skills (5 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 2,126 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 77% identical to agent-framework-azure-ai-py, differing in 9 lines, and is treated as a copy.

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