agent-framework / hosting-a2a
microsoft/agent-framework/python/packages/hosting-a2a/AGENTS.md
Conversion and native card-generation helpers for hosting Agent Framework agents and workflows through an application-owned A2A server. - a2atorun(message, *, stream=False) converts an A2A Message to AgentRunArgs; pass inputmodes for optional advertised-mode validation. - a2afromrun(result) converts an Agent Framework response, message, or streaming update to A2A Part values; pass outputmodes for optional advertised-mode validation. - await AgentA2AAdapter(target, ...).getcard() creates a native AgentCard from an agent or AgentState, target metadata, and explicit A2A discovery policy. The adapter also re-exposes a2atorun(...) and…
# A2A Hosting Helpers (`agent-framework-hosting-a2a`) Conversion and native card-generation helpers for hosting Agent Framework agents and workflows through an application-owned A2A server. ## Public API - `a2a_to_run(message, *, stream=False)` converts an A2A `Message` to `AgentRunArgs`; pass `input_modes` for optional advertised-mode validation. - `a2a_from_run(result)` converts an Agent Framework response, message, or streaming update to A2A `Part` values; pass `output_modes` for optional advertised-mode validation. - `await AgentA2AAdapter(target, ...).get_card()` creates a native `AgentCard` from an agent or `AgentState`, target metadata, and explicit A2A discovery policy. The adapter also re-exposes `a2a_to_run(...)` and `a2a_from_run(...)`, validating against configured card modes by default. - `a2a_to_workflow_run(message, workflow)` validates one text, raw, or data part against the workflow's single start-executor input type. - `a2a_from_workflow_run(result)` converts completed public workflow outputs to native A2A parts and rejects pending external-input requests. - `await WorkflowA2AAdapter(target, ...).get_card()` creates a native `AgentCard` from a workflow or `WorkflowState` and infers defensible modes from declared workflow types. The adapter also re-exposes the workflow conversion helpers as `await a2a_to_run(...)` and `a2a_from_run(...)`, validating against effective card modes by default. Inferred workflow output modes are resolved by `get_card()` before validated output conversion. ## Boundary This package does not provide an `AgentExecutor`, routes, a web application, task stores, event queues, task state policy, artifact ID policy, or outbound delivery. Applications compose the conversion helpers with native A2A SDK constructs. `a2a_from_run(...)` intentionally returns a flat part list. It preserves content-level metadata, while applications own A2A message and artifact boundaries plus message-level metadata. Card builders return native A2A protobuf values; do not create a parallel card model or subclass. `AgentA2AAdapter` infers built-in Agent Framework skills from the resolved agent's `SkillsProvider` instances by default; `infer_skills=False` disables this. The `skills` argument accepts both Agent Framework `Skill` values and native A2A `AgentSkill` values. Do not infer A2A skills from function tools. Capabilities such as streaming and push notifications remain explicit because they describe the application server. Skill discovery runs with a `SkillsSourceContext` containing the resolved agent and no session. `supported_interfaces` contains one native `AgentInterface` per public protocol endpoint. The URL is where the application mounted the corresponding A2A routes, and the binding must match the protocol actually served there (commonly `JSONRPC`, `HTTP+JSON`, or `GRPC`). A2A mode strings are extensible, but automatic parsing is intentionally limited to `text`, `application/json`, `application/octet-stream`, and pass-through concrete media types (with wildcard validation such as `image/*`). JSON-only output parses Agent Framework JSON text into native A2A data parts; structured workflow output becomes a data part, or JSON text when only `text` is advertised. Custom modes are accepted when a native part already carries that media type, and otherwise raise instead of guessing a serializer. Workflow mode inference is conservative: string schemas map to `text`, binary strings to `application/octet-stream`, and JSON-compatible schemas to `application/json`. Unknown application-specific representations require explicit card modes and custom application conversion.
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