my-agents-adapter 0.0.8

Supported frameworks

• [WIP] langgraph
• [WIP] Microsoft Agent Framework

Install

In current folder, run:

pip install -e .

Usage

langgraph

# your existing agent
from my_langgraph_agent import my_awesome_agent

# langgraph utils
from azure.ai.agentshosting import from_langgraph

if __name__ == "__main__":
    # with this simple line, your agent will be hosted on http://localhost:8088
    from_langgraph(my_awesome_agent).run()

Note If your langgraph agent was not using langgraph's builtin MessageState, you should implement your own LanggraphStateConverter and provide to from_langgraph.

Reference this example for more details.

Microsoft Agent Framework

# your existing agent
from my_framework_agent import my_awesome_agent

# agent framework utils
from azure.ai.agentshosting import from_agent_framework

if __name__ == "__main__":
    # with this simple line, your agent will be hosted on http://localhost:8088
    from_agent_framework(my_awesome_agent).run()

Custom Code

If your agent is not built using a supported framework, you can still make it compatible with Microsoft AI Foundry by manually implementing the predefined interface.

import datetime

from azure.ai.agentshosting import FoundryCBAgent
from azure.ai.agentshosting.models.azureaiagents.models import CreateResponse
from azure.ai.agentshosting.models.openai.models import (
    ItemContentOutputText,
    Response as OpenAIResponse,
    ResponsesAssistantMessageItemResource,
    ResponseTextDeltaEvent,
    ResponseTextDoneEvent,
)


def stream_events(text: str):
    assembled = ""
    for i, token in enumerate(text.split(" ")):
        piece = token if i == len(text.split(" ")) - 1 else token + " "
        assembled += piece
        yield ResponseTextDeltaEvent(delta=piece)
    # Done with text
    yield ResponseTextDoneEvent(text=assembled)


async def agent_run(request_body: CreateResponse):
    agent = request_body.agent
    print(f"agent:{agent}")

    if request_body.stream:
        return stream_events("I am mock agent with no intelligence in stream mode.")

    # Build assistant output content
    output_content = [
        ItemContentOutputText(
            text="I am mock agent with no intelligence.",
            annotations=[],
        )
    ]

    response = OpenAIResponse(
        metadata={},
        temperature=0.0,
        top_p=0.0,
        user="me",
        id="id",
        created_at=datetime.datetime.now(),
        output=[
            ResponsesAssistantMessageItemResource(
                status="completed",
                content=output_content,
            )
        ],
    )
    return response


my_agent = FoundryCBAgent()
my_agent.agent_run = agent_run

if __name__ == "__main__":
    my_agent.run()