Run Message Agent
Runtime contract
The generated OpenAPI operation omits the JSON request body. Send the body shown here; an empty body is not a valid request. The generated response example also does not fully reflect the current A2A envelope.
Start the example server below and set the same OS_SECURITY_KEY in the client terminal. These examples target reference-agent on port 7777. On deployments using scoped bearer authorization, this operation requires agents:run (or a matching broader grant). The authenticated principal determines user identity; X-User-ID is only anonymous attribution and cannot override it.
The outer id correlates the request and response. messageId identifies the submitted message. contextId becomes the Agno session ID; omit it to let the server create a session, or reuse a session owned by the same principal and component.
Request
curl -X POST "http://localhost:7777/a2a/agents/reference-agent/v1/message:send" \
-H "Authorization: Bearer $OS_SECURITY_KEY" \
-H "Content-Type: application/json" \
--data '{
"jsonrpc": "2.0",
"id": "request-1",
"method": "message/send",
"params": {
"message": {
"role": "user",
"messageId": "message-1",
"contextId": "agent-session",
"parts": [
{
"kind": "text",
"text": "Hello"
}
]
}
}
}'Response
The response result is the Task itself: use result.id for the Agno run ID, result.contextId for its session, and result.status.state for status. There is no result.task wrapper. JSON field names use camelCase. A representative envelope is:
{
"jsonrpc": "2.0",
"id": "request-1",
"result": {
"id": "returned-run-id",
"contextId": "agent-session",
"kind": "task",
"status": {
"state": "completed"
},
"history": [
{
"role": "agent",
"messageId": "returned-message-id",
"kind": "message",
"contextId": "agent-session",
"taskId": "returned-run-id",
"parts": [
{
"kind": "text",
"text": "Example answer"
}
]
}
]
}
}Text output is carried in result.history[*].parts; media can also appear in result.artifacts. Optional fields may be absent or null.
By default the call waits for the result (HTTP 200). Setting params.configuration.blocking=false requests background execution and returns HTTP 202; use task polling with the returned run and session IDs. This requires the server's background-execution and database prerequisites.
Example server
The examples in this A2A API reference use this local server. Install dependencies and set a model key and a shared server key in the server terminal:
uv pip install -U "agno[os,a2a]" openai sqlalchemy
export OPENAI_API_KEY=your-openai-api-key
export OS_SECURITY_KEY=your-local-server-keySave as a2a_reference.py and run python a2a_reference.py:
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.os import AgentOS
from agno.team import Team
from agno.workflow import Workflow, Step, StepInput, StepOutput
db = SqliteDb(db_file="tmp/a2a-reference.db")
agent = Agent(id="reference-agent", name="Reference Agent", model=OpenAIChat(id="gpt-5.4-mini"), db=db)
team = Team(
id="reference-team",
name="Reference Team",
model=OpenAIChat(id="gpt-5.4-mini"),
members=[Agent(name="Writer", model=OpenAIChat(id="gpt-5.4-mini"))],
db=db,
)
def echo(step_input: StepInput) -> StepOutput:
return StepOutput(content=step_input.input)
workflow = Workflow(id="reference-workflow", name="Reference Workflow", steps=[Step(name="echo", executor=echo)], db=db)
agent_os = AgentOS(agents=[agent], teams=[team], workflows=[workflow], a2a_interface=True)
app = agent_os.get_app()
if __name__ == "__main__":
agent_os.serve(app="a2a_reference:app", host="127.0.0.1", port=7777)In the client terminal, set OS_SECURITY_KEY to the same value. Agent and team runs use the model provider; the example workflow echoes its input locally. Use a distinct contextId for each component's session.
/a2a/agents/{id}/v1/message:sendSend a message to an Agno Agent (non-streaming). The Agent is identified via the path parameter '{id}'. Optional: Pass user ID via X-User-ID header (recommended) or 'userId' in params.message.metadata.
Path Parameters
Response Body
application/json
application/json
curl --request POST 'https://example.com/a2a/agents/string/v1/message:send'{ "jsonrpc": "2.0", "id": "request-123", "result": { "task": { "id": "task-456", "context_id": "context-789", "status": "completed", "history": [ { "message_id": "msg-1", "role": "agent", "parts": [ { "kind": "text", "text": "Response from agent" } ] } ] } }}{ "detail": [ { "loc": [ "string" ], "msg": "string", "type": "string", "input": null, "ctx": {} } ]}