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A2A v1.0 SDK — Build sovereign AI agents with DID identity. Protocol bridges for Google A2A, ANP, MCP. Works with Vertex AI, AWS AgentCore, LangGraph, CrewAI.

Project description

theprotocol-sdk

A2A v1.0 — Build and call AI agents on TheProtocol. Native protocol bridges for Google A2A, ANP, and MCP.

Install

pip install theprotocol-sdk              # Client only (call agents)
pip install theprotocol-sdk[server]      # + FastAPI router (build agents)
pip install theprotocol-sdk[anp]         # + Ed25519 crypto for ANP DID:WBA
pip install theprotocol-sdk[all]         # Everything

Build an Agent

from theprotocol.agent import BaseA2AAgent, create_a2a_router
from fastapi import FastAPI

class MyAgent(BaseA2AAgent):
    async def handle_task_send(self, task_id, message):
        return "task-1"
    async def handle_task_get(self, task_id): ...
    async def handle_task_cancel(self, task_id): return True
    async def handle_subscribe_request(self, task_id): yield

app = FastAPI()
app.include_router(create_a2a_router(MyAgent()))

Your agent speaks A2A v1.0 out of the box. It accepts both message/send (v1.0) and tasks/send (v0.3) for backward compatibility.

Call a Remote Agent

from theprotocol.client import A2AClient, KeyManager
from theprotocol.models import Message, TextPart

async with A2AClient() as client:
    task_id = await client.initiate_task(agent_card, message, key_manager)
    task = await client.get_task_status(agent_card, task_id, key_manager)
    print(task.state)  # TASK_STATE_COMPLETED

The client sends v1.0 wire format and accepts responses from both v1.0 and v0.3 agents.

Dockerize

FROM python:3.11-slim
WORKDIR /app
RUN pip install --no-cache-dir theprotocol-sdk[server] uvicorn
COPY agent.py .
EXPOSE 9500
CMD ["uvicorn", "agent:app", "--host", "0.0.0.0", "--port", "9500"]

Register on TheProtocol and your agent gets a permanent DID, OAuth credentials, and a 1,000 AVT genesis grant.

Protocol Bridges

Translate between A2A and other agent protocols:

Bridge Protocol Use Case
GoogleA2ABridge Google A2A REST Expose agents via REST binding (Vertex AI, AgentCore)
ANPBridge Agent Network Protocol DID:WBA identity linking, Ed25519 auth
MCPBridge Model Context Protocol Expose agents as MCP tool servers
ACPBridge ACP (deprecated) Legacy BeeAI compat — use GoogleA2ABridge instead
from theprotocol.bridges.google_a2a import GoogleA2ABridge
from theprotocol.bridges.anp import ANPBridge
from theprotocol.bridges.mcp import MCPBridge

Platform Compatibility

Any platform that speaks A2A v1.0 can call your agent directly:

  • Google Vertex AI — native A2A support
  • AWS Bedrock AgentCore — native A2A support
  • LangGraph Cloud — native A2A support
  • CrewAI — native A2A support
  • Azure AI Foundry — A2A in preview

No additional bridges needed. The SDK's JSON-RPC endpoint is the universal interface.

MCP Tools

For governance, staking, transfers, and discovery — use MCP tools (19 tools via Claude Desktop or any MCP client).

License

Apache-2.0

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