Agents & skills

An a2a agent is one Python class that subclasses A2AAgent and exposes one or more @skill-decorated methods.

Required class attributes

class MyAgent(A2AAgent[MyConfig, MyAuth]):
    name = "my-agent"        # globally unique on the platform
    description = "..."
    version = "0.1.0"        # semver, surfaces on Card + dashboard
    config_model = MyConfig  # Pydantic; passed as `self.config`
    auth_model = MyAuth      # Pydantic; bound to `ctx.auth` per call

Skills

Decorate async methods. The first parameter (after self) must be a RunContext. The rest must be type-annotated; their types become the skill's input JSON Schema.

@skill(
    description="Generate a chart.",
    tags=["visualization"],
    timeout_seconds=120,
    allow_scope_expansion=False,
)
async def chart(
    self,
    ctx: RunContext[NoAuth],
    prompt: str,
    data_path: str | None = None,
) -> dict:
    await ctx.emit_progress(f"working on: {prompt}")
    return {"ok": True, "path": "outputs/chart.png"}

The decorator:

captures the signature with inspect
builds a pydantic.TypeAdapter per parameter
emits a JSON Schema with additionalProperties: false and required populated from non-default args
publishes the resulting SkillCard on your agent's AgentCard

Input validation, two levels

Pydantic at the agent. Every /invoke/{skill} call runs your args through adapter.validate_python(...) before the handler fires. Bad types → HTTP 400 (SkillInputError).
Strict tool schema at the LLM. The orchestrator can register each skill as an OpenAI-strict function tool — the model gateway refuses to emit calls that don't conform.

Optional opt-ins

Attribute / flag	What it enables
`@skill(allow_scope_expansion=True)`	Skill may call `ctx.request_scope(...)` mid-flight
`@skill(stream=True)`	Skill emits multiple events; the platform SSE-bridges them
`workspace_access = WorkspaceAccess.dynamic(...)`	The platform attaches a workspace client to `ctx`
`egress = EgressPolicy(allow_hosts=...)`	Limit outbound network from the sandbox
`tools_used = ("sandbox", "matplotlib")`	Surfaces on the Card; informational

Lifecycle