a2a-pack 0.1.1

Developer SDK + CLI for building, packaging, and deploying A2A agents.

a2a-pack

Developer SDK + CLI for building, packaging, and deploying A2A agents.

One Python class becomes a sandboxed, discoverable, MCP-compatible AI agent on the a2a cloud platform. Other agents reach yours via HMAC-signed grants. The platform owns deployment, execution, permissions, and (when you're ready) billing.

pip install a2a-pack
a2a signup --email [e-mail] --password ...
a2a init research-agent
cd research-agent
a2a deploy
# → https://research-agent.a2acloud.io   (TLS, MCP, OpenAPI, all wired)

What an agent looks like

from pydantic import BaseModel
from a2a_pack import (
    A2AAgent, LLMProvisioning, NoAuth, Pricing, RunContext, skill,
)


class GreeterConfig(BaseModel):
    suffix: str = "!"


class Greeter(A2AAgent[GreeterConfig, NoAuth]):
    name = "greeter"
    description = "Say hi."
    version = "0.1.0"
    config_model = GreeterConfig
    auth_model = NoAuth

    # Use the caller's own LLM key (forwarded by the platform) — the
    # author's price stays small; the LLM bill goes to the caller's
    # provider directly.
    llm_provisioning = LLMProvisioning.CALLER_PROVIDED
    pricing = Pricing(price_per_call_usd=0.01, caller_pays_llm=True)

    @skill(description="Greet someone.")
    async def greet(self, ctx: RunContext[NoAuth], who: str) -> str:
        await ctx.emit_progress(f"greeting {who}")
        return f"hello {who}{self.config.suffix}"

That's it. a2a deploy packages the source, the control plane builds the image, ArgoCD reconciles, you get a public URL.

Public surface

Concept	Where
A2AAgent base class + @skill decorator	a2a_pack.agent
RunContext, ctx.llm, ctx.ask, ctx.request_scope	a2a_pack.context
Grant mint/verify (HMAC, audience-bound, glob-filtered, time-limited)	a2a_pack.grants
Workspace negotiation surface	a2a_pack.workspace
Sandbox client (microVM via libkrun)	a2a_pack.sandbox
Agent-to-agent client (HTTP, in-memory, custom)	a2a_pack.a2a_client
MCP server (skills → tools, mountable into your FastAPI app)	a2a_pack.mcp
Lifecycle / Resources / Pricing / LLMProvisioning declarations	a2a_pack.runtime
Card schema (auto-derived from your class)	a2a_pack.card

Full reference + auto-generated docs at https://docs.a2acloud.io.

Self-hosting

The platform pieces (control plane, sandbox runtime, gitea, ArgoCD, MinIO, LiteLLM) live at gitea.a2acloud.io — the SDK is the only piece you need on PyPI. If you want to run the whole stack locally or in your own cluster, the bootstrap recipe is in the platform README.

License

MIT — see LICENSE.