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Giles Odigwe
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* Expose supported_protocol_bindings as configurable parameter on A2AAgent Add supported_protocol_bindings parameter to A2AAgent.__init__() allowing users to configure which A2A protocol bindings (JSONRPC, GRPC, HTTP+JSON) the client prefers when connecting to remote agents. - Defaults to ["JSONRPC"] matching current behavior - Passes through to ClientConfig for transport negotiation - Replaces 4 hardcoded references with the configurable value Closes #6057 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix empty list falsy trap and add fallback path test coverage - Use 'is not None' check instead of 'or' to preserve explicit empty list - Add test verifying empty list is not silently replaced with defaults - Add test verifying fallback path uses custom bindings Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Document known protocol binding values in docstring Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Use Literal union for protocol binding type hint Provides IDE autocomplete for known values while keeping the type open for custom bindings (Literal is str at runtime). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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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