Async Simple Agent Protocol - A streamlined protocol for agent-to-agent communication
Project description
ASAP: Async Simple Agent Protocol
A streamlined, scalable, asynchronous protocol for agent-to-agent communication and task coordination.
Why ASAP?
Building multi-agent systems today suffers from three core technical challenges:
- $N^2$ Connection Complexity: Most protocols assume static point-to-point HTTP connections that don't scale.
- State Drift: Lack of native persistence makes it impossible to reliably resume long-running agentic workflows.
- Fragmentation: No unified way to handle task delegation, artifact exchange, and tool execution (MCP) in a single envelope.
ASAP provides a production-ready communication layer that simplifies these complexities. It introduces a standardized, stateful orchestration framework that ensures your agents can coordinate reliably across distributed environments.
Key Features
- Stateful Orchestration: Native task state machine with built-in snapshotting for durable, resumable agent workflows.
- Schema-First Design: Strict Pydantic v2 models providing automatic JSON Schema generation for guaranteed cross-agent interoperability.
- High-Performance Core: Built on Python 3.13+, leveraging
uvloop(C) andpydantic-core(Rust) for ultra-low latency validation and I/O. - Observable Chains: First-class support for
trace_idandcorrelation_idto debug complex multi-agent delegation. - MCP Integration: Uses the Model Context Protocol (MCP) as a tool-execution substrate, wrapped in a high-level coordination envelope.
- Async-Native: Engineered from the ground up for high-concurrency environments using
asyncioandhttpx. Supports both sync and async handlers with automatic event loop management.
💡 Performance Note: Pure Python codebase leveraging Rust-accelerated dependencies (
pydantic-core,orjson,python-ulid) for native-level performance without build complexity.
Installation
We recommend using uv for dependency management:
uv add asap-protocol
Or with pip:
pip install asap-protocol
For reproducible environments, prefer uv when possible.
Quick Start
1. Create an Agent (Server)
from asap.models.entities import Capability, Endpoint, Manifest, Skill
from asap.transport.handlers import HandlerRegistry, create_echo_handler
from asap.transport.server import create_app
manifest = Manifest(
id="urn:asap:agent:echo-agent",
name="Echo Agent",
version="0.1.0",
description="Echoes task input as output",
capabilities=Capability(
asap_version="0.1",
skills=[Skill(id="echo", description="Echo back the input")],
state_persistence=False,
),
endpoints=Endpoint(asap="http://127.0.0.1:8001/asap"),
)
registry = HandlerRegistry()
registry.register("task.request", create_echo_handler())
app = create_app(manifest, registry)
2. Send a Task (Client)
import asyncio
from asap.models.envelope import Envelope
from asap.models.payloads import TaskRequest
from asap.transport.client import ASAPClient
async def main():
request = TaskRequest(
conversation_id="conv_01HX5K3MQVN8",
skill_id="echo",
input={"message": "hello from client"},
)
envelope = Envelope(
asap_version="0.1",
sender="urn:asap:agent:client",
recipient="urn:asap:agent:echo-agent",
payload_type="task.request",
payload=request.model_dump(),
)
async with ASAPClient("http://127.0.0.1:8001") as client:
response = await client.send(envelope)
print(response.payload)
if __name__ == "__main__":
asyncio.run(main())
API Overview
Core models:
Envelope: protocol wrapper with routing and tracing metadataTaskRequest,TaskResponse,TaskUpdate,TaskCancel: task lifecycle payloadsMessageSend,ArtifactNotify: messaging and artifactsStateQuery,StateRestore: snapshot state operationsMcpToolCall,McpToolResult,McpResourceFetch,McpResourceData: MCP integration
Transport:
create_app: FastAPI application factoryHandlerRegistry: payload dispatch registry (supports both sync and async handlers)ASAPClient: async HTTP client with automatic retry for server errors (5xx)
Documentation
Advanced Examples
State Snapshots
from datetime import datetime, timezone
from asap.models.entities import StateSnapshot
from asap.state import InMemorySnapshotStore
store = InMemorySnapshotStore()
snapshot = StateSnapshot(
id="snap_01HX5K7R...",
task_id="task_01HX5K4N...",
version=1,
data={"status": "submitted", "progress": 0},
created_at=datetime.now(timezone.utc),
)
store.save(snapshot)
latest = store.get("task_01HX5K4N...")
Error Recovery
from asap.errors import InvalidTransitionError
try:
raise InvalidTransitionError(from_state="submitted", to_state="completed")
except InvalidTransitionError as exc:
payload = exc.to_dict()
print(payload["code"])
Async Handlers
Handlers can be either synchronous or asynchronous:
# Sync handler
def my_sync_handler(envelope: Envelope, manifest: Manifest) -> Envelope:
# Process synchronously
return response_envelope
# Async handler
async def my_async_handler(envelope: Envelope, manifest: Manifest) -> Envelope:
# Process asynchronously (e.g., database calls, API requests)
result = await some_async_operation()
return response_envelope
registry.register("task.request", my_async_handler) # Works with both!
Multi-Agent Flow
Run the built-in demo to see two agents exchanging messages:
uv run python -m asap.examples.run_demo
CLI Tools
The ASAP CLI provides utilities for schema management:
# Export all JSON schemas
asap export-schemas --output-dir ./schemas
# List available schemas
asap list-schemas
# Show a specific schema
asap show-schema envelope
# Validate JSON against a schema
asap validate-schema message.json --schema-type envelope
# Verbose output
asap export-schemas --verbose
Contributing
We love contributions! Whether it's fixing a bug, improving documentation, or proposing a new feature, your help is welcome.
Check out our Contributing Guidelines to get started. It's easier than you think! 🚀
License
This project is licensed under the Apache 2.0 License - see the LICENSE file for details.
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