ag2-network-tools-and-views

name	ag2-network-tools-and-views
description	Shape what an AG2 network agent perceives and which actions its LLM can take. Covers the six auto-injected LLM-facing tools that ship via `NetworkPlugin` (`say`, `delegate`, `peers`, `channels`, `tasks`, `context`); replacing the default handler with `agent_client.on_envelope(callback)` (gateways, headless workers); the `ViewPolicy` Protocol with the built-in `FullTranscript` and `WindowedSummary(recent_n=N)` views plus how to write a custom view; peer discovery via skill markdown (`skill_md=`, `parse_skill_frontmatter`, `hub.set_skill`); the `Envelope` wire format with the `EV_*` event taxonomy (`EV_TEXT`, `EV_PACKET`, `EV_CHANNEL_*`, `EV_EXPECTATION_VIOLATED`, `ag2.task.*`), `audience` and `visible_to` semantics, `Priority`, `causation_id`, and how to send raw envelopes with custom event types via `agent_client.send_envelope(...)`. Use when the user wants to customise the LLM's network surface, write a custom envelope handler, build a gateway / headless worker, or wire peer discovery.
license	Apache-2.0

AG2 Network — Tools, Views & Custom Handlers

Everything on the agent/client side of the network — the mirror image of ag2-network-governance (which is hub-side). This covers what the LLM sees of the channel (views), which actions it can take (the six auto-injected tools), what other agents know about it (skill markdown), how to replace the handler entirely, and the full Envelope reference.

Prerequisite: read ag2-network-quickstart first. This skill assumes you know Hub.open, HubClient.register, the channel lifecycle, and basic agent_client.open(...) / channel.send(...).

When to use

• "Limit / extend the LLM's network tool surface" (plugin tools vs. adapter tools_for)
• "Write a custom envelope handler"
• "Build a gateway / headless worker that doesn't run an LLM"
• "Add a non-LLM participant — a person at a UI, a bridge, a scripted seeder" (HumanClient)
• "Customise what each agent sees of the channel history (view policy)"
• "Strip / redact / filter envelopes before they reach the LLM"
• "Wire peer discovery via skill markdown"
• "Send a custom event type (myapp.review_request, …)"
• "I need the EV_* constants list / Envelope shape / audience semantics"

Network tools — plugin tools vs. adapter tools

An agent's per-turn LLM tool list is assembled from two streams:

1. Plugin tools — when you register with the default attach_plugin=True, NetworkPlugin adds five identity-level, channel-agnostic verbs to agent.tools: peers / channels / tasks / context / delegate. Same behaviour in any channel.
2. Adapter tools — the channel's adapter offers channel-specific tools per turn via adapter.tools_for(client, metadata, state, participant_id); the default handler resolves them and merges them into agent.ask(tools=...) (cached per (adapter, client) so the schema build cost is paid once). The only built-in adapter tool is say.

So say is not a plugin tool — it's offered by the adapter, gated by turn state:

Adapter	Offers say to…
consulting	the participant whose turn it is in the 1Q1R (initiator before the prompt; respondent after, before the reply)
conversation	every participant, always
discussion	only expected_next_speaker
workflow	nobody — routing is your @tool handoff functions; the adapter returns []

That's why attach_plugin=False no longer controls whether the LLM sees say — it controls the five plugin verbs only. (See ag2-network-quickstart → "Plugin tools vs. adapter tools" for the user-facing summary.)

delegate and say

Tool	Stream	Signature	Purpose
delegate	plugin	delegate(target, prompt, capability?, timeout=300)	One-shot consult — opens a consulting channel with target, sends prompt, awaits the single reply, returns its text. A separate channel, so it's safe to call mid-turn on any channel.
say	adapter (consulting / conversation / discussion)	say(content, audience?, channel_id?)	Post an EV_TEXT into the active channel (or a specified one the agent participates in). audience is a list of peer names (resolved to ids); None broadcasts. Envelope shape comes from adapter.build_text_envelope(...) — the same Layer-2 helper a non-AG2 bridge would call.

# The LLM emits, e.g.:
delegate(target="bob", prompt="What's the right way to model X?", capability="modeling")
say(content="Here's my answer: …")

The framework resolves ChannelInject (current channel), ChannelStateInject, and AgentClientInject automatically inside the notify handler — the LLM never sees those parameters.

Four grouped action-dispatch tools

Each takes an action literal plus action-specific args, keeping the LLM's tool list short.

peers(action) — discovery

Action	Args	Returns
"find"	query?, capability?, sort_by?, limit=20	List of peer summaries (excludes the caller).
"describe"	name	One peer's full profile: {passport, resume, skill_md}. skill_md falls back to a rendered passport+resume when no SKILL.md is registered.

channels(action) — lifecycle

Action	Args	Returns
"list"	state="active"|"all"	Channels this agent participates in.
"open"	type, target, knobs?, intent?, ttl?, message?	Mirrors agent_client.open. If message is given, it's sent as the first envelope on the initiator's behalf right after the channel reaches OPENED (handy for consulting/workflow seeding); a failed seed closes the channel with reason seed_failed. Returns {channel_id, type, participants[, seed_envelope_id]}.
"info"	channel_id	Full ChannelMetadata if the agent participates.
"close"	channel_id? (defaults to current)	Closes with reason "closed_by_agent".

tasks(action) — task lifecycle

Two halves: active actions (the agent is inside its own agent.task(...) block) and observation actions (any task the hub has seen).

Action	Half	Args	Returns
"progress"	active	payload	Emits TaskProgress.
"complete"	active	result?	Terminal — emits TaskCompleted.
"list"	observation	scope="own"|"all", state="active"|"all", limit=20	Task summaries.
"status"	observation	task_id	Refreshed TaskMetadata.
"wait"	observation	task_id, timeout=300, poll_interval=0.1	Blocks until terminal.

"start" is intentionally not a tool — calling it from the LLM would bypass the async with agent.task(...) lifecycle that scopes TaskInject correctly. Owners start tasks in their own code; the LLM uses progress / complete once a task is active, and delegate for one-shot remote work.

context(action) — past content

Action	Args	Returns
"search"	query, scope="channel"|"knowledge", limit=10	Excerpts whose text matches query (case-insensitive substring).
"quote"	speaker, recent_n=1, channel_id?	The last recent_n EV_TEXT envelopes from speaker.

scope="knowledge" reaches into the calling agent's own KnowledgeStore (substring search only — for vector / semantic search, the agent's own loop calls framework-core recall directly).

Adapter-owned tools (tools_for) — and the say double-send

The default handler resolves adapter.tools_for(client, metadata, state, participant_id) each turn and merges the result into agent.ask(tools=...) (alongside the agent's own @tools and any plugin tools). Adapters that take no LLM input — workflow — return []. The others return say, gated by turn state (table above). An adapter could return richer tools too; say is just the only built-in.

Implication for workflow: a workflow agent never sees say — its only path to "say something" is the round-end EV_PACKET the handler builds from reply.body, plus whatever @tool handoff functions you wrote. The old "approve() then say(...) races the round-end EV_PACKET" failure mode is structurally impossible now.

For consulting / conversation / discussion, say is offered — but you rarely need it. The default handler already posts the round-end envelope (build_round_envelope → EV_TEXT(reply.body), or None if empty), so an agent that just replies with text has already spoken. say is for posting an extra message in a turn, or posting into a different channel the agent participates in (channel_id=).

The hazard: an agent that calls say(content="…") and then also returns a non-empty reply body emits two substantive envelopes in one turn. On conversation that's harmless. On consulting the second one trips the strict 1Q1R adapter — ProtocolError: channel '<id>' is closed. Mitigations, most robust first:

• Don't prompt the agent to call say. Its plain reply is the canonical channel reply; the double-send only happens if you explicitly steer it toward say.
• Replace the default handler with one that doesn't also send a round-end envelope — then say is the agent's voice (gateway / headless-worker patterns below).
• attach_plugin=False does not help here — say is adapter-owned, not plugin-owned. It only drops delegate / peers / channels / tasks / context. Use it for a bare agent, not as a say suppressor.

Non-LLM participants — HumanClient

HumanClient is the framework's first-class "participant that isn't an Agent": no LLM, no NetworkPlugin, no assembly policies. A person at a UI, a bridge to another system, a scripted "user" that seeds a workflow — all of these are a HumanClient. Register with register_human (not register, which now rejects kind="human" and points you here):

from autogen.beta.network import HumanClient, Passport

user = await hc.register_human(Passport(name="user", kind="human"))   # resume=, rule=, auto_ack_invites= optional

It satisfies the NetworkClient Protocol — same outbound surface as AgentClient:

ch = await user.open(type="consulting", target="analyst")     # initiate a channel
await user.send(ch.channel_id, "What's our Q3 exposure?")     # EV_TEXT convenience
await user.post_envelope(env)                                 # escape hatch — adapter-shaped envelopes (e.g. workflow EV_PACKET via adapter.build_packet_envelope)

…plus two ways to consume inbound envelopes (an AgentClient only has the notify-handler callback; HumanClient adds an explicit queue):

Surface	Call	Semantics
Push	user.on_envelope(callback)	async callback fires once per inbound envelope; multiple callbacks compose in registration order; a raising callback is logged, never propagated. remove_envelope_callback(cb) to detach.
Pull	await user.next_envelope(*, predicate=None, timeout=None)	Blocks until the next envelope matching predicate (or any, if None); raises on timeout.
Pull (stream)	async for env in user.envelopes(): ...	Yields every inbound envelope until user.disconnect().

auto_ack_invites=True (default) makes the human auto-accept channel invites so the hub's quorum handshake completes without a UI round-trip; pass auto_ack_invites=False to gate joins by hand (you'll then post_envelope an EV_CHANNEL_INVITE_ACK yourself). hub.list_agents(kind="human") discovers humans; hub.list_agents(kind="agent") / kind="remote_agent" filter the others.

Typical roles: the kickoff seeder for a workflow channel (FromSpeaker(user) → AgentTarget(first_agent) — see ag2-network-workflow), the human leg of a consulting Q&A, a participant in a discussion round-robin, or a WebSocket/CLI bridge in front of any of those. For a headless agent (an AgentClient that shouldn't run an LLM but still wants the plugin tools / tools_for resolution) you replace its notify handler instead — next.

Replacing the default handler

The default handler does all the "agent receives envelope → auto-ack invites → run LLM (with adapter.tools_for(...) merged in) → post round-end envelope" wiring. Replace it for headless workers, gateways, or any agent that shouldn't run an LLM. (For a participant that was never meant to have an LLM at all, reach for HumanClient above instead of an AgentClient with a custom handler.)

Opting out of the plugin (and/or the default handler)

worker = await hc.register(agent, passport, resume, attach_plugin=False)  # no peers/channels/tasks/context/delegate
worker.on_envelope(my_custom_handler)                                     # ← this is what swaps the handler

These are two independent knobs:

• attach_plugin=False skips NetworkPlugin.register(agent) — the agent's tool list loses peers / channels / tasks / context / delegate (and the NetworkContextPolicy prefix). It does not touch the notify handler, and it does not remove say (that's adapter-owned — see above).
• The default notify handler is active regardless (it's wired by AgentClient, not the plugin). Call client.on_envelope(callback) to replace it; client.remove_envelope_handler() (or passing client._run_default_handler back) restores it.

What you lose when you call client.on_envelope(callback):

The default handler does…	If you don't replicate it…
Auto-ack EV_CHANNEL_INVITE (post EV_CHANNEL_INVITE_ACK)	the channel sits in INVITED until invite_ack_timeout (30s) and the hub closes it on you
Run _process_substantive on EV_TEXT / EV_PACKET: read WAL, project the view, stamp dependencies, attach TaskMirror, resolve adapter.tools_for(...), call agent.ask(...), post the round-end envelope built by adapter.build_round_envelope	the LLM never runs, no reply ever goes back, the channel stalls until an expectation fires
No-op on ag2.channel.* / ag2.task.* lifecycle envelopes	(harmless to skip, but easy to be surprised when these arrive)

The cheap way to keep most of that for free: handle the events you care about yourself, delegate the rest to default_handler.

Handler signature. A callback passed to client.on_envelope(...) is called with just (envelope,) — the framework does await self._on_envelope(envelope). Any client reference inside the handler is captured from the enclosing scope (a closure variable). The exported default_handler, by contrast, has signature (envelope, client) — pass both when delegating.

A gateway handler

from autogen.beta.network import Envelope, EV_TEXT, default_handler


async def gateway_handler(envelope: Envelope) -> None:
    """Forward inbound text to an external system instead of running an LLM."""
    if envelope.event_type != EV_TEXT:
        await default_handler(envelope, client)   # auto-ack invites etc. (client from closure)
        return
    text = envelope.event_data.get("text", "")
    await my_external_queue.put({
        "from": envelope.sender_id,
        "text": text,
        "channel": envelope.channel_id,
    })


client.on_envelope(gateway_handler)

Selective override (fall back to default)

from autogen.beta.network import default_handler, EV_CHANNEL_INVITE


async def selective_handler(envelope: Envelope) -> None:
    if envelope.event_type == EV_CHANNEL_INVITE and envelope.sender_id not in TRUSTED_AGENTS:
        return   # untrusted invite → silent drop; hub will time out and close
    await default_handler(envelope, client)   # default for everything else


client.on_envelope(selective_handler)

Filtered forwarding (pre/post hooks)

async def logged_handler(envelope: Envelope) -> None:
    log.info("inbound %s from %s", envelope.event_type, envelope.sender_id)
    try:
        await default_handler(envelope, client)
    finally:
        log.info("processed %s", envelope.envelope_id)

Bypassing adapter tools

Adapters offer per-turn tools via tools_for(...) (notably say on consulting / conversation / discussion); the default handler merges them into agent.ask(tools=...). If a capable model insists on calling say unprompted (Claude often will) and the resulting double-send is breaking your channel, swap in a custom handler that runs the same substantive path but omits tools= from agent.ask — the agent's static agent.tools (your @tools + any plugin tools) remain, since ask(tools=…) is additional tools, not a replacement. The shape:

async def no_say_handler(envelope, client):
    if envelope.event_type != EV_TEXT:
        await default_handler(envelope, client)         # invite-ack + lifecycle for free
        return
    if not client._hub_client.can_send(envelope.channel_id, client.agent_id):
        return                                          # sync — not our turn

    # ... read_wal_until / resolve_view_policy / stamp_dependencies (hooks above) ...
    reply = await client.agent.ask(current_input, stream=stream, dependencies=deps)   # ← no tools=
    out = adapter.build_round_envelope(metadata=meta, sender_id=client.agent_id, reply=reply,
                                       events=events, state=state, hub=client._hub)
    if out is not None:
        out.causation_id = envelope.envelope_id
        await client.send_envelope(out)

That's the default handler's substantive path minus one line. Same trick works to add tools (pass your own tools=[...]) or to swap the view, the dependencies, the round-envelope shape, etc.

Hooks for selective override

If you want to partially replace the default handler's logic, the handler is decomposed into public hooks:

from autogen.beta.network import (
    read_wal_until,
    resolve_view_policy,
    stamp_dependencies,
)

Hook	Purpose
read_wal_until(client, envelope)	Slice the WAL up to (excluding) the given envelope.
resolve_view_policy(client, metadata)	The ViewPolicy this participant should use.
stamp_dependencies(client, channel)	Build the context.dependencies dict for the LLM turn (CHANNEL_DEP, AGENT_CLIENT_DEP, HUB_DEP, TASK_DEP).

Use these when your custom handler wants the standard pre-LLM wiring but a custom post-LLM behaviour (or vice versa).

Views — what each LLM sees

ViewPolicy is the projection layer between the channel's WAL and the LLM's history:

class ViewPolicy(Protocol):
    name: ClassVar[str]
    async def project(
        self,
        history: list[Envelope],
        *,
        participant_id: str,
        channel: ChannelMetadata,
    ) -> list[BaseEvent]: ...

It takes the WAL up to the current envelope and returns a list of BaseEvents that the framework feeds into the LLM turn as pre-populated stream history. Adapters declare a default; you can override per-channel.

Built-in views

View	Behaviour	Default for
FullTranscript()	Every EV_TEXT / EV_HANDOFF envelope, in order, no filtering beyond audience.	consulting
WindowedSummary(recent_n=N)	The last N text envelopes. If the WAL is longer, prepends a CompactionSummary placeholder with the count of elided turns.	conversation, discussion, workflow

Both honour audience — an envelope addressed only to [bob] doesn't appear in carol's projection.

from autogen.beta.network import FullTranscript, WindowedSummary

view = WindowedSummary(recent_n=12)
projected = await view.project(
    history=wal_slice,
    participant_id=carol.agent_id,
    channel=metadata,
)

Resolving the default

from autogen.beta.network import resolve_view_policy

policy = resolve_view_policy(client, metadata)

Reads the adapter manifest's default_view_policy and instantiates the matching view from the registry. The default handler calls this once per turn — custom handlers should too unless they're deliberately bypassing the standard projection model.

Custom views

Implement the protocol, give it a unique name, and use it:

from typing import ClassVar
from autogen.beta.events import BaseEvent, ModelMessage, ModelRequest
from autogen.beta.network import Envelope, EV_TEXT, ChannelMetadata, ViewPolicy


class FromOneOnly(ViewPolicy):
    """Show only envelopes from a single named sender."""
    name: ClassVar[str] = "from_one_only"

    def __init__(self, sender_id: str) -> None:
        self.sender_id = sender_id

    async def project(self, history, *, participant_id, channel):
        out: list[BaseEvent] = []
        for env in history:
            if env.event_type != EV_TEXT or env.sender_id != self.sender_id:
                continue
            text = env.event_data.get("text", "")
            out.append(
                ModelMessage(text) if env.sender_id == participant_id
                else ModelRequest(text)
            )
        return out

The BaseEvent types you emit shape how the LLM sees the history: ModelRequest for "from the user," ModelMessage for "from the assistant," etc. See autogen.beta.events for the full taxonomy.

Picking a view

• Short, focused exchanges → FullTranscript(). Token budget isn't the bottleneck; coherence is.
• Long-running discussions → WindowedSummary(recent_n=N) with N tuned to participant count and turn density.
• Specialist agents that should ignore unrelated chatter → custom view that filters by audience or tags.
• Privacy-sensitive workflows → custom view that strips fields or redacts before projection.

Switching the view doesn't affect the WAL — every envelope is still there, every operator can still inspect it. Only the LLM's perception of history is shaped.

Skills — how an agent describes itself

Skills are markdown-with-frontmatter that the hub stores verbatim and surfaces to peers during peers(action="describe", name=...) lookup. Pass at registration:

agent_client = await hc.register(
    agent,
    Passport(name="researcher"),
    Resume(claimed_capabilities=["research"]),
    skill_md="""\
---
title: Research Assistant
expertise: [policy, finance]
---

# Researcher

A senior policy analyst. Best at:

- Scenario synthesis from multi-source briefs.
- Rebuttal review with confidence scores.

Limitations: not for code review or numerical analysis.
""",
)

Parsing the frontmatter

from autogen.beta.network import parse_skill_frontmatter, ParsedSkill

parsed: ParsedSkill = parse_skill_frontmatter(skill_md)
print(parsed.frontmatter)  # {"title": "Research Assistant", "expertise": [...]}
print(parsed.body)         # the markdown body

Fallback skills

When no skill_md is provided, the hub generates one from the resume so peer lookup doesn't return empty handles:

from autogen.beta.network import render_fallback_skill

skill_md = render_fallback_skill(passport, resume)

Useful when constructing skills programmatically — e.g. a tenant uploads a resume but no markdown.

Updating after registration

await hub.set_skill(agent_id, new_skill_md)

Emits AUDIT_KIND_SKILL_SET. Same audit shape as set_resume; tenant code can replace skills at any time.

The Envelope wire format

@dataclass(slots=True)
class Envelope:
    envelope_id: str            # hub-stamped UUID
    channel_id: str
    sender_id: str              # agent_id
    audience: list[str] | None  # None = broadcast to all participants
    event_type: str             # "ag2.msg.text", "ag2.channel.invite", etc.
    event_data: dict            # event-specific payload
    causation_id: str | None = None  # envelope_id this one is "in reply to"
    priority: Priority = Priority.NORMAL
    created_at: str = ""        # hub-stamped ISO-Z
    sequence: int = 0           # hub-stamped per-channel monotonic counter

The hub stamps envelope_id, created_at, and sequence at admission time. Everything else comes from the sender.

Substantive events

Constant	String	event_data
EV_TEXT	"ag2.msg.text"	{"text": "<body>"}
EV_PACKET	"ag2.packet"	{"routing": {...}, "context_updates": {...}, "body": "<text>"}

EV_TEXT carries plain text. EV_PACKET is the workflow adapter's atomic round-end capture — routing decision (matched against ToolCalled rules), accumulated context_vars mutations, and final body text bundled into one envelope. Posted by the framework after each Agent.ask round on a workflow channel; tool authors don't construct these directly.

Channel lifecycle events

Constant	When
EV_CHANNEL_INVITE	Hub posts to each target when a channel is created.
EV_CHANNEL_INVITE_ACK	Each invitee posts when accepting.
EV_CHANNEL_INVITE_REJECT	Optional — invitee rejects (default handler doesn't, but you can override).
EV_CHANNEL_OPENED	Hub posts when all acks land.
EV_CHANNEL_CLOSED	Hub posts on any termination path; event_data.reason carries why.
EV_CHANNEL_EXPIRED	Hub posts when TTL sweeper closes the channel.
EV_EXPECTATION_VIOLATED	Hub posts when an evaluator's threshold is breached and the handler is notify.

Context and task events

Constant	When
EV_CONTEXT_SET	Tool/participant emits to mutate WorkflowState.context_vars.
"ag2.task.started"	Mirrored from TaskStarted.
"ag2.task.progress"	Mirrored from TaskProgress.
"ag2.task.completed"	Mirrored from TaskCompleted.
"ag2.task.failed"	Mirrored from TaskFailed.
"ag2.task.expired"	Mirrored from TaskExpired.

Audience and visibility

audience: list[str] | None controls who sees the envelope:

• None — broadcast to all participants.
• [agent_id_1, agent_id_2, ...] — only those participants see it.

from autogen.beta.network import visible_to

if visible_to(env, my_agent_id):
    process(env)

Views (FullTranscript, WindowedSummary) honour audience — an envelope addressed only to [bob] doesn't appear in carol's projection.

Priority

class Priority(IntEnum):
    LOW = 0
    NORMAL = 1
    HIGH = 2
    URGENT = 3

Higher priority envelopes process ahead of lower in queue order. Use sparingly; most application envelopes leave priority at NORMAL.

Causation

causation_id marks an envelope as "in reply to" another:

await channel.send(reply_text, causation_id=incoming_envelope.envelope_id)

The default handler does this automatically when replying to an inbound EV_TEXT. Custom handlers should set it for logical replies — useful for threaded views.

Sending raw envelopes (custom event types)

channel.send(text, audience=...) wraps EV_TEXT for you. For custom event types build an Envelope and post it directly:

from autogen.beta.network import Envelope

envelope = Envelope(
    channel_id=channel.channel_id,
    sender_id=alice.agent_id,
    audience=[bob.agent_id],
    event_type="myapp.review_request",
    event_data={"document_id": "doc-123", "kind": "security"},
)
await alice.send_envelope(envelope)

The hub doesn't validate event_type against any allowlist — custom types pass through unmodified. Adapters fold only the event types they recognise (substantive ones, plus EV_PACKET under workflow, plus lifecycle ones); custom event types land on the WAL and are delivered to the audience but don't advance turn-taking state.

Custom event type guidelines

1. Use a dotted namespace prefix ("myapp.review_request", not "review") to avoid collision with future ag2.* events.
2. Keep event_data JSON-serialisable (no datetimes, dataclasses, etc.) so it round-trips through the store cleanly.
3. If multiple participants should react, set audience=None. If only one, address it specifically; views filter out non-recipients.
4. Don't rely on adapters to do anything with custom types — they pass through. Your custom handler is responsible for processing them.

Reading the WAL

wal = await hub.read_wal(channel.channel_id)
for env in wal:
    print(f"{env.sequence:>3}  {env.event_type}  from={env.sender_id[:8]}")

Envelopes appear in admission order. The WAL is the canonical replay surface — Hub.hydrate() re-folds it through each adapter to rebuild in-memory state on restart.

Quick reference — imports

from autogen.beta.network import (
    # Default handler + hooks (for selective override)
    default_handler,
    read_wal_until,
    resolve_view_policy,
    stamp_dependencies,
    # Plugin (auto-attached by attach_plugin=True) — peers/channels/tasks/context/delegate.
    # `say` is NOT here; it comes from the channel adapter's tools_for(...).
    NetworkPlugin,
    # Non-LLM participant
    HumanClient,           # via HubClient.register_human(Passport(name=..., kind="human"))
    PassportKind,          # Literal["agent", "human", "remote_agent"] | None
    # Views
    ViewPolicy,
    FullTranscript,
    WindowedSummary,
    # Skills (peer discovery)
    ParsedSkill,
    parse_skill_frontmatter,
    render_fallback_skill,
    # Envelopes + events
    Envelope,
    Priority,
    visible_to,
    EV_TEXT,
    EV_PACKET,
    EV_CHANNEL_INVITE,
    EV_CHANNEL_INVITE_ACK,
    EV_CHANNEL_INVITE_REJECT,
    EV_CHANNEL_OPENED,
    EV_CHANNEL_CLOSED,
    EV_CHANNEL_EXPIRED,
    EV_EXPECTATION_VIOLATED,
    EV_CONTEXT_SET,
    # Dependency injection keys (for tests outside the notify handler)
    AGENT_CLIENT_DEP,
    CHANNEL_DEP,
    CHANNEL_STATE_DEP,
    HUB_DEP,
    TASK_DEP,
    # Injects (for tool signatures)
    AgentClientInject,
    ChannelInject,
    ChannelStateInject,
    HubInject,
    TaskInject,
)