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Evan Mattson
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* Bump Python package versions for 1.2.0 release Released tier bumps 1.1.1 -> 1.2.0 (core, openai, foundry, root) to reflect additive public APIs landed since 1.1.0: functional workflow API (#4238) and FunctionTool SKIP_PARSING sentinel (#5424). All beta packages stamped 1.0.0b260424, alpha packages 1.0.0a260424. All 26 non-core agent-framework-core floors raised to >=1.2.0,<2. CHANGELOG consolidates the never-tagged 1.1.1 entries with the post-merge additions into [1.2.0]. * Update CHANGELOG footer links for 1.2.0 Advance [Unreleased] comparison base from python-1.1.0 to python-1.2.0 and add a [1.2.0] reference link comparing python-1.1.0...python-1.2.0 so the heading links resolve correctly. * Fix CHANGELOG: restore [1.1.1] section and add proper [1.2.0] Previous commit incorrectly renamed the [1.1.1] header to [1.2.0], which wiped the historical 1.1.1 entries and wrongly attributed them to 1.2.0. This restores [1.1.1] to its origin/main content and adds a new [1.2.0] section above containing only the commits in python-1.1.1..HEAD: - #4238 functional workflow API - #5142 GitHub Copilot OpenTelemetry - #2403 A2A bridge support - #5070 oauth_consent_request events in Foundry clients - #5447 FoundryAgent hosted agent sessions - #5459 hosting server dependency upgrade + types - #5389 AG-UI reasoning/multimodal parsing fix - #5440 stop [TOOLBOXES] warning spam - #5455 user agent prefix fix Also corrects the [1.2.0] compare base to python-1.1.1 (not 1.1.0) and adds the missing [1.1.1] reference link.
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Get Started with Microsoft Agent Framework A2A
Please install this package via pip:
pip install agent-framework-a2a --pre
A2A Agent Integration
The A2A agent integration enables communication with remote A2A-compliant agents using the standardized A2A protocol. This allows your Agent Framework applications to connect to agents running on different platforms, languages, or services.
A2AAgent (Client)
The A2AAgent class is a client that wraps an A2A Client to connect the Agent Framework with external A2A-compliant agents.
from agent_framework.a2a import A2AAgent
# Connect to a remote A2A agent
a2a_agent = A2AAgent(url="http://remote-agent/a2a")
response = await a2a_agent.run("Hello!")
A2AExecutor (Hosting)
The A2AExecutor class bridges local AI agents built with the agent_framework library to the A2A protocol, allowing them to be hosted and accessed by other A2A-compliant clients.
from agent_framework.a2a import A2AExecutor
from a2a.server.apps import A2AStarletteApplication
from a2a.server.request_handlers import DefaultRequestHandler
from a2a.server.tasks import InMemoryTaskStore
# Create an A2A executor for your agent
executor = A2AExecutor(agent=my_agent)
# Set up the request handler and server application
request_handler = DefaultRequestHandler(
agent_executor=executor,
task_store=InMemoryTaskStore(),
)
app = A2AStarletteApplication(
agent_card=my_agent_card,
http_handler=request_handler,
).build()
Basic Usage Example
See the A2A agent examples which demonstrate:
- Connecting to remote A2A agents
- Hosting local agents via A2A protocol
- Sending messages and receiving responses
- Handling different content types (text, files, data)
- Streaming responses and real-time interaction