mas-framework 0.4.5

A Multi-Agent System Framework

MAS Framework

Secure multi-agent runtime:

• Agents connect over gRPC + mTLS
• Server owns all Redis access (routing, state, audit, policy)
• Agents never touch Redis

Use Cases

• Ship multi-agent systems without widening data access: enforce deny-by-default ACLs and mTLS identity per agent.
• Meet security and compliance requirements with tamper-evident audit logs and explicit policy decisions.
• Protect sensitive data in transit using DLP scanning with block/redact rules.
• Reduce incident blast radius with centralized policy, rate limiting, and circuit breakers.
• Support multi-team agent development without shared Redis credentials or direct data access.
• Export distributed traces and metrics with OpenTelemetry for operational visibility.

Architecture

Agent (mTLS)  ─┐
Agent (mTLS)  ─┼─→  MAS Server (gRPC + mTLS)
Agent (mTLS)  ─┘        ├─ AuthN: SPIFFE URI SAN (spiffe://mas/agent/{agent_id})
                         ├─ AuthZ: deny-by-default ACL (+ optional RBAC)
                         ├─ DLP scanning (block/redact)
                         ├─ Rate limiting
                         ├─ Circuit breaker + DLQ
                         ├─ Audit log (Redis Streams, tamper-evident)
                         ├─ OpenTelemetry traces + metrics (optional)
                         └─ Redis Streams for durable delivery + Redis hashes for state

Quick Start

1. Start Redis

redis-server

2. Create mas.yaml

Use mas.yaml.example as a template. You must provide:

• Server cert/key + CA (tls_ca_path, tls_server_cert_path, tls_server_key_path)
• A client cert/key per agent (tls_cert_path, tls_key_path)

3. Implement agents

Runner injects server_addr and tls into your agent constructor; accept **kwargs and pass through.

from __future__ import annotations

from pydantic import BaseModel

from mas import Agent, AgentMessage


class Ping(BaseModel):
    value: int


class EchoAgent(Agent[dict[str, object]]):
    def __init__(self, agent_id: str, **kwargs: object) -> None:
        super().__init__(agent_id, **kwargs)

    @Agent.on("ping", model=Ping)
    async def handle_ping(self, message: AgentMessage, payload: Ping) -> None:
        await message.reply("pong", {"value": payload.value + 1})

4. Run

uv run python -m mas

5. Tail audit logs (optional)

uv run mas audit tail --last 10
# or: uv run python -m mas audit tail --last 10

Example

End-to-end mTLS + request/reply:

redis-server
cd examples/e2e_ping_pong
bash make_certs.sh
uv run python -m mas

Development

uv sync
uv run ruff check .
uv run ruff format .
uv run pytest
uv run ty check