agents-v2-py

Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.

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The canonical home for this skill is agents-v2-py in sickn33/agentic-awesome-skills

Compatibility and maintenance

Compatibility alias of hosted-agents-v2-py; use that ID for new references when no existing contract requires this one. The full instructions and support files remain local so existing installations continue to work offline. This is one shared procedure, not an additional capability. Preserve the callable ID when an existing manifest or client configuration uses it. Modified in AAS on 2026-09-05; original metadata and license notices are retained.

Azure AI Hosted Agents (Python)

Build container-based hosted agents using ImageBasedHostedAgentDefinition from the Azure AI Projects SDK.

Installation

pip install 'azure-ai-projects>=2.0.0b3,<3' azure-identity

These are preview-era SDK v2 sketches. Check the exact installed version and current Azure hosted-agent documentation before provisioning; a broad version range is not an integration test.

Environment Variables

AZURE_AI_PROJECT_ENDPOINT=https://<resource>.services.ai.azure.com/api/projects/<project>

Prerequisites

Before creating hosted agents:

Container Image - Build and push to Azure Container Registry (ACR)
ACR Pull Permissions - Grant your project's managed identity AcrPull role on the ACR
Capability Host - Account-level capability host with enablePublicHostingEnvironment=true
SDK Version - Ensure azure-ai-projects>=2.0.0b3

Authentication

Use the approved Azure credential flow for the intended tenant/subscription; this sketch uses DefaultAzureCredential:

from azure.identity import DefaultAzureCredential
from azure.ai.projects import AIProjectClient

import os

credential = DefaultAzureCredential()
client = AIProjectClient(
    endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
    credential=credential
)

Core Workflow

1. Imports

import os
from azure.identity import DefaultAzureCredential
from azure.ai.projects import AIProjectClient
from azure.ai.projects.models import (
    ImageBasedHostedAgentDefinition,
    ProtocolVersionRecord,
    AgentProtocol,
)

2. Create Hosted Agent

client = AIProjectClient(
    endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
    credential=DefaultAzureCredential()
)

agent = client.agents.create_version(
    agent_name="my-hosted-agent",
    definition=ImageBasedHostedAgentDefinition(
        container_protocol_versions=[
            ProtocolVersionRecord(protocol=AgentProtocol.RESPONSES, version="v1")
        ],
        cpu="1",
        memory="2Gi",
        image="myregistry.azurecr.io/my-agent:latest",
        tools=[{"type": "code_interpreter"}],
        environment_variables={
            "AZURE_AI_PROJECT_ENDPOINT": os.environ["AZURE_AI_PROJECT_ENDPOINT"],
            "MODEL_NAME": "gpt-4o-mini"
        }
    )
)

print(f"Created agent: {agent.name} (version: {agent.version})")

3. List Agent Versions

versions = client.agents.list_versions(agent_name="my-hosted-agent")
for version in versions:
    print(f"Version: {version.version}, State: {version.state}")

4. Delete Agent Version

client.agents.delete_version(
    agent_name="my-hosted-agent",
    version=agent.version
)

ImageBasedHostedAgentDefinition Parameters

Parameter	Type	Required	Description
`container_protocol_versions`	`list[ProtocolVersionRecord]`	Yes	Protocol versions the agent supports
`image`	`str`	Yes	Full container image path (registry/image:tag)
`cpu`	`str`	No	CPU allocation (e.g., "1", "2")
`memory`	`str`	No	Memory allocation (e.g., "2Gi", "4Gi")
`tools`	`list[dict]`	No	Tools available to the agent
`environment_variables`	`dict[str, str]`	No	Environment variables for the container

Protocol Versions

The container_protocol_versions parameter specifies which protocols your agent supports:

from azure.ai.projects.models import ProtocolVersionRecord, AgentProtocol

# RESPONSES protocol - standard agent responses
container_protocol_versions=[
    ProtocolVersionRecord(protocol=AgentProtocol.RESPONSES, version="v1")
]

Available Protocols:

Protocol	Description
`AgentProtocol.RESPONSES`	Standard response protocol for agent interactions

Resource Allocation

Specify CPU and memory for your container:

definition=ImageBasedHostedAgentDefinition(
    container_protocol_versions=[...],
    image="myregistry.azurecr.io/my-agent:latest",
    cpu="2",      # 2 CPU cores
    memory="4Gi"  # 4 GiB memory
)

Illustrative resource sizes; verify regional/SKU limits before provisioning:

Resource	Min	Max	Default
CPU	0.5	4	1
Memory	1Gi	8Gi	2Gi

Tools Configuration

Add tools to your hosted agent:

Code Interpreter

tools=[{"type": "code_interpreter"}]

MCP Tools

tools=[
    {"type": "code_interpreter"},
    {
        "type": "mcp",
        "server_label": "my-mcp-server",
        "server_url": "https://my-mcp-server.example.com"
    }
]

Multiple Tools

tools=[
    {"type": "code_interpreter"},
    {"type": "file_search"},
    {
        "type": "mcp",
        "server_label": "custom-tool",
        "server_url": "https://custom-tool.example.com"
    }
]

Environment Variables

Pass configuration to your container:

environment_variables={
    "AZURE_AI_PROJECT_ENDPOINT": os.environ["AZURE_AI_PROJECT_ENDPOINT"],
    "MODEL_NAME": "gpt-4o-mini",
    "LOG_LEVEL": "INFO",
    "CUSTOM_CONFIG": "value"
}

Best Practice: Never hardcode secrets. Use environment variables or Azure Key Vault.

Complete Example

import os
from azure.identity import DefaultAzureCredential
from azure.ai.projects import AIProjectClient
from azure.ai.projects.models import (
    ImageBasedHostedAgentDefinition,
    ProtocolVersionRecord,
    AgentProtocol,
)

def create_hosted_agent():
    """Create a hosted agent with custom container image."""
    
    client = AIProjectClient(
        endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
        credential=DefaultAzureCredential()
    )
    
    agent = client.agents.create_version(
        agent_name="data-processor-agent",
        definition=ImageBasedHostedAgentDefinition(
            container_protocol_versions=[
                ProtocolVersionRecord(
                    protocol=AgentProtocol.RESPONSES,
                    version="v1"
                )
            ],
            image="myregistry.azurecr.io/data-processor:v1.0",
            cpu="2",
            memory="4Gi",
            tools=[
                {"type": "code_interpreter"},
                {"type": "file_search"}
            ],
            environment_variables={
                "AZURE_AI_PROJECT_ENDPOINT": os.environ["AZURE_AI_PROJECT_ENDPOINT"],
                "MODEL_NAME": "gpt-4o-mini",
                "MAX_RETRIES": "3"
            }
        )
    )
    
    print(f"Created hosted agent: {agent.name}")
    print(f"Version: {agent.version}")
    print(f"State: {agent.state}")
    
    return agent

if __name__ == "__main__":
    create_hosted_agent()

Async Pattern

import os
from azure.identity.aio import DefaultAzureCredential
from azure.ai.projects.aio import AIProjectClient
from azure.ai.projects.models import (
    ImageBasedHostedAgentDefinition,
    ProtocolVersionRecord,
    AgentProtocol,
)

async def create_hosted_agent_async():
    """Create a hosted agent asynchronously."""
    
    async with DefaultAzureCredential() as credential:
        async with AIProjectClient(
            endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
            credential=credential
        ) as client:
            agent = await client.agents.create_version(
                agent_name="async-agent",
                definition=ImageBasedHostedAgentDefinition(
                    container_protocol_versions=[
                        ProtocolVersionRecord(
                            protocol=AgentProtocol.RESPONSES,
                            version="v1"
                        )
                    ],
                    image="myregistry.azurecr.io/async-agent:latest",
                    cpu="1",
                    memory="2Gi"
                )
            )
            return agent

Common Errors

Error	Cause	Solution
`ImagePullBackOff`	ACR pull permission denied	Grant `AcrPull` role to project's managed identity
`InvalidContainerImage`	Image not found	Verify image path and tag exist in ACR
`CapabilityHostNotFound`	No capability host configured	Create account-level capability host
`ProtocolVersionNotSupported`	Invalid protocol version	Use `AgentProtocol.RESPONSES` with version `"v1"`

Best Practices

Version Your Images - Use specific tags, not latest in production
Minimal Resources - Start with minimum CPU/memory, scale up as needed
Environment Variables - Use for all configuration, never hardcode
Error Handling - Wrap agent creation in try/except blocks
Cleanup - Delete unused agent versions to free resources

Reference Links

When to Use

Use for reviewing or creating an explicitly requested container-based Foundry hosted agent. First confirm image digest, subscription/tenant, region, service availability, permissions and cost scope. Creating agents, granting roles and deleting versions are cloud writes; do them only within the user's authorization.

Review example

Given a pinned container image and test project, check SDK model fields and registry pull access, then prepare the create request. Provision only if authorized and record the exact returned version and observed health. Do not delete unrelated versions as routine cleanup. Expected result is a version-specific receipt, not an assumed deploy.

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Repository: boisenoise/skills-collections
Path: skills/antigravity-agents-v2-py/SKILL.md
Commit: 652629d

Last updated: ~12 hours ago
First committed: 7 months ago

Canonical home

sickn33/agentic-awesome-skills

In sync

since Feb 20, 2026

Also appears in

administrakt0r/AI-Agents-Safe-Coding-Skills

Stale

last in sync Mar 6, 2026

Renamed to: hosted-agents-v2-py

administrakt0r/AI-Agents-Safe-Coding-Skills

Stale

last in sync Mar 6, 2026

administrakt0r/AI-Agents-Safe-Coding-Skills

Stale

last in sync Mar 6, 2026

Renamed to: hosted-agents-v2-py

administrakt0r/AI-Agents-Safe-Coding-Skills

Stale

last in sync Mar 6, 2026

administrakt0r/AI-Agents-Safe-Coding-Skills

Stale

last in sync Mar 6, 2026

Renamed to: hosted-agents-v2-py

administrakt0r/AI-Agents-Safe-Coding-Skills

Stale

last in sync Mar 6, 2026

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