| name | ag2-network-governance |
| description | Govern an AG2 multi-agent network — identity (`Passport`, `Resume`), per-agent `Rule` with two top-level blocks `access` (`AccessBlock`) and `limits` (`LimitsBlock`, which nests `RateBlock` + `InboxBlock`), the swappable `HubArbiter` / `RuleBasedArbiter` access-&-routing seam, `AuthAdapter` / `AuthRegistry` registration, channel-level `Expectation`s with `audit` / `notify_channel` / `auto_close` violation handlers, the hub's append-only audit log and `AUDIT_KIND_*` constants, live `HubListener` / `BaseHubListener` observability plus `Hub` `on_*` hooks and `register_sweeper`, and task observation via `agent.task(...)` + `TaskMirror` (updates `Resume.observed` for peer ranking). Use when the user needs rate limits, access policy, SLAs, compliance trails, live metrics/alerting, capability-driven peer ranking, or to inspect what actually happened on the network. Load this after `ag2-network-quickstart`. For the agent-side surface (custom handlers, views, LLM tools, `HumanClient`) see `ag2-network-tools-and-views`. |
| license | Apache-2.0 |
AG2 Network — Governance
Everything hub-side: identity, per-agent rules, expectations, audit, and task observation. The hub is the single source of truth — every send goes through it, every observation reads from it, every policy is checked there.
Prerequisite: read ag2-network-quickstart first. This skill assumes you know Hub.open, Passport, Resume, the channel lifecycle, and the agent_client.register(...) flow.
When to use
Load this skill when the user needs to:
- Limit who can talk to whom (
access / AccessBlock)
- Declare a token-bucket rate intent (
limits.rate / RateBlock) — stored on the rule but not enforced by the in-process hub
- Cap inbox size to prevent flooding (
limits.inbox / InboxBlock) — and get an early-warning signal before the cap (on_inbox_pressure / high_water)
- Set channel TTL defaults, concurrency caps, or delegation depth (
limits / LimitsBlock)
- Plug in custom access / routing logic — JWT scopes, per-tenant quotas, federation (
HubArbiter / RuleBasedArbiter)
- Authenticate agents at registration (
AuthAdapter)
- Tune the channel-close timing (
acks_within, reply_within, max_silence, turn_within)
- Read or query the audit log for compliance — or stream live state changes to metrics / alerting (
HubListener)
- Add a custom periodic task to the hub (
register_sweeper)
- Build a capability track record on each agent (
Resume.observed)
- Route based on which agents have demonstrably done a task (e.g. "send to whichever researcher has the lowest
p50_latency_ms")
Identity — what every agent carries
Three dataclasses describe an agent on the network. The tenant supplies most fields; the hub stamps the rest.
from ag2.network import Passport, Resume, ResumeExample
passport = Passport(
name="alice",
owner="acme",
model="claude-sonnet-4-6",
)
resume = Resume(
claimed_capabilities=["analysis", "policy"],
domains=["finance"],
summary="Senior policy analyst — scenario synthesis and rebuttal review.",
examples=[ResumeExample(title="Q3 risk brief", note="…")],
)
| Field | Source |
|---|
Passport.name | tenant (required, unique) |
Passport.agent_id | hub-stamped at registration; use for routing |
Passport.created_at | hub-stamped ISO-Z timestamp |
Resume.claimed_capabilities | tenant (free-form strings: "research", "summarisation", …) |
Resume.summary | tenant — indexed for peer lookup |
Resume.observed | hub-mutated per-capability ObservedStat (n / completed / failed / expired / p50_latency_ms) |
Resume.last_updated | hub-stamped ISO-Z, refreshed on mutation |
The observed field is the agent's track record. It grows automatically as the agent runs capability-tagged tasks (see "Task observation" below).
Per-agent rules
Pass a Rule at registration to govern an agent's behaviour on the network:
from ag2.network import (
Rule, AccessBlock, LimitsBlock, RateBlock, InboxBlock, ChannelTypeAccess,
)
rule = Rule(
access=AccessBlock(
outbound_to=["bob", "carol"],
channel_types=ChannelTypeAccess(
initiate=["consulting", "discussion"],
accept=["consulting", "discussion"],
),
),
limits=LimitsBlock(
channel_ttl_default="4h",
delegation_depth=2,
rate=RateBlock(per_minute=60, burst=10),
inbox=InboxBlock(max_pending=100),
),
)
alice = await alice_hc.register(
Agent("alice", config=config),
Passport(name="alice"),
Resume(),
rule=rule,
)
A Rule has two top-level blocks: access (AccessBlock) and limits (LimitsBlock). RateBlock and InboxBlock nest inside limits (as limits.rate and limits.inbox).
| Block | Lives at | Controls | Failure mode |
|---|
AccessBlock | access (top-level) | Who this agent can address (outbound_to) / accept from (inbound_from); channel types it can create/join | AccessDeniedError |
LimitsBlock | limits (top-level) | TTL defaults; delegation_depth; max_concurrent_channels / max_concurrent_tasks | AccessDeniedError |
RateBlock | limits.rate (nested) | Token-bucket values (per_minute, burst) | Stored but not enforced in-process (per_minute=0 disables by default) |
InboxBlock | limits.inbox (nested) | Inbound queue depth (max_pending) | InboxFull to the sender |
When a rule check fails the hub raises the matching error from channel.send(...) or hc.register(...); the envelope never lands on the WAL. Rule changes are audited (kind AUDIT_KIND_RULE_SET via set_rule), but a send denial is not written to the built-in audit log — it surfaces via the on_envelope_rejected listener fan-out (the built-in AuditLog implements no on_envelope_rejected handler). Register a HubListener if you need to capture rejections. The component that runs those checks — and the seam where you'd plug in something other than rule data — is the arbiter, below.
Updating a rule after registration
new_rule = Rule(access=AccessBlock(outbound_to=["bob"]))
await hub.set_rule(alice.agent_id, new_rule)
Parsing duration strings
LimitsBlock.channel_ttl_default accepts a string parsed by parse_duration:
from ag2.network import parse_duration
parse_duration("30s")
parse_duration("4h")
parse_duration("2d")
s, m, h, d suffixes; a bare integer (or int) is treated as seconds; empty string returns 0. Returns an int number of seconds.
The arbiter — swappable access & routing
The hub doesn't enforce Rules with inline if checks anymore; it delegates every access / routing decision to a HubArbiter — a Protocol with one method per decision point, each returning Allow() or Deny(reason, error=<NetworkError subclass>):
| Method | Consulted before… | Default Deny error |
|---|
authorize_register(passport, resume, rule) | committing a registration | AccessDeniedError |
authorize_channel_open(manifest, creator, creator_rule, invitees, invitee_rules, active_creator_channels) | creating a channel (invitee inbound_from + creator max_concurrent_channels) | AccessDeniedError |
authorize_send(envelope, sender, sender_rule, recipients) | appending an envelope to the WAL (outbound access + delegation depth) | AccessDeniedError |
authorize_inbox(envelope, recipient, recipient_rule, current_pending) | enqueuing into a recipient's inbox (capacity) | InboxFull |
authorize_dispatch(envelope, sender, recipient, recipient_rule) | dispatching one delivery | AccessDeniedError |
resolve_unknown_audience(envelope, unknown_ids) | dispatching to ids the hub doesn't know — returns None (drop silently — the single-hub default) or a replacement id list (federation hook) | — |
The default is RuleBasedArbiter — it enforces the per-agent Rule: access (outbound/inbound name globs, channel types) plus the limits caps it actually checks (delegation_depth, max_concurrent_channels, inbox.max_pending). limits.rate is not enforced. This is exactly what the hub did inline before this seam existed. If you only use Rule, you never touch the arbiter.
Swap it to layer your own logic — JWT scopes, per-tenant quotas, federation routing — on top of (or instead of) the rule data. BaseHubArbiter returns Allow() for everything, so a subclass that overrides one gate would allow the rest — to keep rule enforcement, delegate to a RuleBasedArbiter() instance:
from ag2.network import HubArbiter, BaseHubArbiter, RuleBasedArbiter, Allow, Deny
class ScopedArbiter(BaseHubArbiter):
def __init__(self, inner: HubArbiter) -> None:
self._inner = inner
async def authorize_send(self, envelope, sender, sender_rule, recipients):
if not _token_has_scope(sender, "net.send"):
return Deny("missing net.send scope")
return await self._inner.authorize_send(envelope, sender, sender_rule, recipients)
hub.register_arbiter(ScopedArbiter(RuleBasedArbiter()))
Deny.error picks the NetworkError subclass the hub raises (default AccessDeniedError) — Deny(..., error=InboxFull) etc. to control it. The arbiter is the gatekeeper (consulted before the state change); HubListener (later) is the observer (notified after). It's a different concern from AuthAdapter below — that authenticates credentials once at registration; the arbiter authorizes actions throughout the channel's life.
Authentication
By default the hub uses AuthRegistry.default() — a NoAuth-only registry (scheme "none") that accepts every claim, so every registration succeeds without credentials. The scheme is selected per-passport via passport.auth.scheme (an AuthBlock field, defaulting to "none"); the credentials live in passport.auth.claim (a dict). For production:
from ag2.network import AuthAdapter, AuthRegistry, NoAuth, ApiKeyAuth, AuthError, Hub
from ag2.network import AuthBlock, Passport
from ag2.knowledge import MemoryKnowledgeStore
import hmac
from typing import Any
class HMACAuth:
scheme = "hmac"
async def validate(self, passport: Passport, claim: dict[str, Any]) -> None:
expected = self._sign(passport.name)
token = claim.get("token", "")
if not hmac.compare_digest(expected, token):
raise AuthError(f"bad hmac for {passport.name}")
registry = AuthRegistry([NoAuth(), HMACAuth()])
hub = await Hub.open(MemoryKnowledgeStore(), auth=registry)
AuthAdapter is a Protocol with a scheme attribute and a validate method:
class AuthAdapter(Protocol):
scheme: str
async def validate(self, passport: Passport, claim: dict[str, Any]) -> None: ...
Raise AuthError to reject. At registration the hub looks up the adapter by passport.auth.scheme, calls adapter.validate(passport, passport.auth.claim), and records AUDIT_KIND_AGENT_REGISTERED on success. Remote-agent passports skip the local auth check. The library ships NoAuth (accept-all, the default) and ApiKeyAuth(keys=..., resolver=...) (constant-time token compare against claim["token"]).
Expectations — channel-level SLAs
Every adapter ships defaults in its manifest. The expectation sweeper task evaluates them every expectation_sweep_interval (default 10s) and dispatches violations to handlers.
Built-in evaluators
default_evaluators() ships exactly three evaluators:
| Name | Class | Default seconds | Threshold |
|---|
"acks_within" | AcksWithinEvaluator | 30 | All still-pending invitees must ack within params["seconds"] of channel creation (only while the channel is PENDING). |
"reply_within" | ReplyWithinEvaluator | 600 | A participant addressed by an EV_TEXT must reply within params["seconds"] (only while ACTIVE). |
"max_silence" | MaxSilenceEvaluator | 3600 | The channel has no content envelope from anyone for params["seconds"] (channel-wide). |
The discussion and workflow adapters declare turn_within expectations on their manifests, but no built-in turn_within evaluator ships — and "warn" / "hide" are not built-in handlers. The sweeper silently skips any expectation whose name has no registered evaluator or whose on_violation has no registered handler (_expectation_tick does .get(...) and continues on None). To make turn_within / warn / hide active, register your own evaluator (register_expectation_evaluator) and handler (register_violation_handler).
Default expectations per adapter
| Adapter | Defaults |
|---|
consulting | acks_within(30s, auto_close), reply_within(600s, auto_close) |
conversation | max_silence(3600s, audit) |
discussion | turn_within(120s, warn), turn_within(600s, hide) |
workflow | turn_within(120s, warn), turn_within(600s, auto_close) |
Violation handlers
from ag2.network import Expectation
Expectation(name="acks_within", on_violation="auto_close", params={"seconds": 30})
default_handlers() ships exactly three handlers, keyed by on_violation:
on_violation | Handler class | Effect |
|---|
"audit" | AuditHandler | No-op handler. The actual audit record (AUDIT_KIND_EXPECTATION_VIOLATED) is written by the AuditLog listener via on_expectation_fired, which the hub fans out before invoking any handler — so AuditHandler itself does nothing. Channel continues. |
"notify_channel" | NotifyChannelHandler | Post EV_EXPECTATION_VIOLATED to every channel participant. Channel continues. (Audit is still written by the AuditLog listener.) |
"auto_close" | AutoCloseHandler | Close the channel with reason="expectation_violated:<name>". (Audit is still written by the AuditLog listener.) |
There is no built-in "warn" or "hide" handler — those names appear only on the discussion / workflow manifests and are no-ops until you register a handler for them.
Overriding adapter defaults
Pass expectations in the channel knobs to replace the adapter's defaults:
channel = await alice.open(
type="conversation",
target=bob.agent_id,
knobs={
"expectations": [
{"name": "max_silence", "on_violation": "auto_close",
"params": {"seconds": 600}},
],
},
)
Custom evaluators
from ag2.network import EV_TEXT, Expectation
from ag2.network import ExpectationContext, Violation
class TooManyMessagesEvaluator:
name = "too_many_messages"
def evaluate(self, expectation: Expectation, context: ExpectationContext) -> Violation | None:
threshold = int(expectation.params["max"])
text_count = sum(1 for e in context.wal if e.event_type == EV_TEXT)
if text_count > threshold:
return Violation(
expectation=expectation,
violator_ids=[],
detail={"text_count": text_count, "threshold": threshold},
)
return None
Violation is Violation(expectation: Expectation, violator_ids: list[str] = [], detail: dict = {}) — expectation is the Expectation object (it carries name, on_violation, params); channel_id is not a field (the hub already knows it). Evaluators are pure functions over channel state — no I/O, no mutation — so they're trivially testable. Register via hub.register_expectation_evaluator(TooManyMessagesEvaluator()).
Deterministic testing
hub = await Hub.open(MemoryKnowledgeStore(), expectation_sweep_interval=0)
clock.advance(45)
await hub._expectation_tick()
Audit log
The hub maintains an append-only audit log (AuditLog instance), exposed via the public hub.audit_log property (the internal attribute is hub._audit_log; swap the instance with hub.replace_audit_log(...)):
records = await hub.audit_log.read_all()
for r in records:
print(r["kind"], r["at"], r)
Each record is a plain dict with at minimum kind and at (ISO-Z timestamp); kind-specific fields appear alongside.
Audit kinds
from ag2.network import (
AUDIT_KIND_AGENT_REGISTERED,
AUDIT_KIND_AGENT_UNREGISTERED,
AUDIT_KIND_RESUME_SET,
AUDIT_KIND_SKILL_SET,
AUDIT_KIND_RULE_SET,
AUDIT_KIND_CHANNEL_CREATED,
AUDIT_KIND_CHANNEL_CLOSED,
AUDIT_KIND_CHANNEL_EXPIRED,
AUDIT_KIND_TASK_TERMINATED,
AUDIT_KIND_EXPECTATION_VIOLATED,
)
| Kind | When | Common fields |
|---|
AUDIT_KIND_AGENT_REGISTERED | hc.register(...) | agent_id, name, owner |
AUDIT_KIND_AGENT_UNREGISTERED | hc.unregister(agent_id) | agent_id |
AUDIT_KIND_RESUME_SET | hub.set_resume(...) | Source: RESUME_SOURCE_TENANT or RESUME_SOURCE_OBSERVED |
AUDIT_KIND_SKILL_SET | hub.set_skill(...) | Updated skill markdown |
AUDIT_KIND_RULE_SET | hub.set_rule(...) | The new Rule |
AUDIT_KIND_CHANNEL_CREATED | alice.open(...) | creator_id, manifest type/version, participants |
AUDIT_KIND_CHANNEL_CLOSED | Any close route | reason |
AUDIT_KIND_CHANNEL_EXPIRED | TTL sweeper | TTL details |
AUDIT_KIND_TASK_TERMINATED | agent.task(...) reached terminal state via TaskMirror | owner_id, capability, outcome, latency_ms |
AUDIT_KIND_EXPECTATION_VIOLATED | Expectation evaluator's threshold elapsed | expectation, channel_id, evaluator detail |
Common queries
violations = [r for r in await hub.audit_log.read_all()
if r["kind"] == AUDIT_KIND_EXPECTATION_VIOLATED]
channel_records = [r for r in await hub.audit_log.read_all()
if r.get("channel_id") == channel_id]
acme_agents = [r for r in await hub.audit_log.read_all()
if r["kind"] == AUDIT_KIND_AGENT_REGISTERED
and r.get("owner") == "acme"]
The audit log is durable when backed by DiskKnowledgeStore; with MemoryKnowledgeStore it lives only as long as the hub.
Hub listeners — live programmatic observability
The audit log is the durable record. For live reactions to hub state changes — push to a metrics backend, stream to a dashboard, alert an on-call — register a HubListener: a read-only Protocol the hub fans out to after every state transition has committed. (The built-in audit log is itself one of these listeners.)
| Method (exact signature) | Fires when |
|---|
on_envelope_posted(envelope, metadata) | an envelope was accepted, WAL-appended, folded, and dispatched |
on_envelope_rejected(envelope, reason) | the arbiter / validation denied a send (reason is the typed NetworkError) |
on_dispatch_failed(envelope, recipient_id, reason) | delivery to one recipient raised (reason is a BaseException) |
on_channel_event(channel_id, kind, payload) | kind ∈ opened / closed / expired / participant_removed / participant_hidden |
on_agent_event(agent_id, kind, payload) | kind ∈ registered / unregistered / resume_set / skill_set / rule_set / observation_recorded |
on_expectation_fired(channel_id, expectation, violation) | an expectation evaluator emitted a Violation |
on_turn_failed(channel_id, agent_id, envelope_id, exc) | an agent's notify-handler turn raised (the default handler routes failures here) |
on_task_event(task_id, kind, payload) | a ag2.task.* lifecycle event was observed (kind ∈ started / progress / completed / failed / expired / cancelled / mirror_failed) |
on_inbox_pressure(agent_id, pending, cap) | a recipient's inbox first crosses limits.inbox.high_water (fires once per crossing, not per envelope) |
All methods are async; the hub awaits them sequentially in registration order, each wrapped in try/except — a buggy listener can't stall dispatch. Keep them fast (queue I/O onto your own task). Subclass BaseHubListener (every method is a pass) and override only what you need:
from ag2.network import BaseHubListener
class MetricsListener(BaseHubListener):
async def on_envelope_posted(self, envelope, metadata):
statsd.incr(f"net.envelope.{envelope.event_type}")
async def on_inbox_pressure(self, agent_id, pending, cap):
statsd.gauge(f"net.inbox.{agent_id}", pending / cap)
async def on_turn_failed(self, channel_id, agent_id, envelope_id, exc):
sentry.capture_exception(exc)
hub.register_listener(MetricsListener())
Two related hub-subclass seams:
on_* hooks on Hub itself — the same method set exists as empty methods on Hub; a Hub subclass can override them directly (the fan-out invokes the bound method alongside registered listeners). Use a subclass when the observability is the hub variant you're shipping; use register_listener for pluggable add-ons.
hub.register_sweeper(name, interval_seconds, fn) / unregister_sweeper(name) — adds your own periodic coroutine to the hub's interval-sweeper machinery (alongside the built-in TTL and expectation sweepers). Subclass-registered sweepers start immediately if Hub.start() has already run, otherwise queue until it does.
on_inbox_pressure is governed by limits.inbox.high_water (an InboxBlock field) — an absolute pending-count threshold (int | None). None (the default) auto-resolves to int(limits.inbox.max_pending * 0.8); 0 disables the signal. It's the early-warning sibling of the hard InboxFull (the cap is limits.inbox.max_pending, enforced by the arbiter's authorize_inbox).
Task observation — building the track record
Capability-tagged tasks update an agent's Resume.observed[capability] automatically. This is how the network knows that "bob has completed 47 research tasks at a 4.2s median latency."
Tagging a task
agent.task(..., capability="X") accepts a free-form capability string:
@worker_agent.tool
async def research(topic: str, ctx: Context) -> str:
async with worker_agent.task(
f"research: {topic}",
capability="research",
context=ctx,
) as task:
await task.progress({"step": "gather"})
await task.complete({"items_found": 7})
return "researched"
worker = await worker_hc.register(worker_agent, Passport(name="worker"), Resume())
Pass context=ctx so the task fires its events on the LLM-turn's stream — that's the stream the TaskMirror is attached to. Without it, the events never reach the hub.
If capability=None (the default), lifecycle events still go to the hub's audit log but Resume.observed is not updated. Track record is opt-in.
Reading the track record
resume = await hub.get_resume(bob.agent_id)
stat = resume.observed.get("research")
if stat:
print(f"completed={stat.completed}/{stat.n} "
f"failed={stat.failed} "
f"p50_latency={stat.p50_latency_ms}ms")
@dataclass(slots=True)
class ObservedStat:
n: int = 0
completed: int = 0
failed: int = 0
expired: int = 0
p50_latency_ms: int | None = None
Latency is computed from task_meta.started_at to the terminal event time, using the hub's clock. With a MockClock in tests you can construct deterministic latencies.
Where TaskMirror fits
The default handler auto-attaches a TaskMirror per turn, scoped to the active channel. The mirror subscribes to TaskStarted / TaskProgress / TaskCompleted / TaskFailed / TaskExpired events on the LLM-turn's stream, forwards each as an ag2.task.* envelope to the hub, and on terminal events with a capability tag calls Hub.record_observation(...) to update Resume.observed.
You only attach TaskMirror manually if you've written a custom handler:
from ag2.network import TaskMirror
from ag2.stream import MemoryStream
mirror = TaskMirror(
hub_client=client._hub_client,
owner_id=client.agent_id,
channel_id=metadata.channel_id,
)
stream = MemoryStream()
sub_ids = mirror.attach(stream)
try:
await client.agent.ask(text, stream=stream)
finally:
mirror.detach(stream, sub_ids)
The mirror is attached per turn, not per agent — a new one for each inbound envelope. It also swallows hub-forwarding errors silently; a flaky hub connection should not crash the LLM turn.
When to skip the capability tag
Tag only when:
- The task represents a capability you want to track in the agent's resume.
- Failure / latency signals are operationally meaningful (driving routing, alerting, peer ranking).
Untagged tasks still get full lifecycle audit records — just no Resume.observed update. Use untagged tasks for internal book-keeping that doesn't represent an externally-visible capability.
Cross-cutting pattern: multi-capability worker
@worker_agent.tool
async def research(topic: str, ctx: Context) -> str:
async with worker_agent.task(f"research: {topic}", capability="research", context=ctx) as t:
return "..."
@worker_agent.tool
async def summarise(text: str, ctx: Context) -> str:
async with worker_agent.task("summarise", capability="summarisation", context=ctx) as t:
return "..."
After a few channels, worker.resume.observed holds both "research" and "summarisation" ObservedStats, each tracked independently. A peer-discovery query (peers(action="find", capability="research") — see ag2-network-tools-and-views) can then rank by latency or completion rate.
Reading hub state
| Call | Returns |
|---|
await hub.get_channel(channel_id) | ChannelMetadata snapshot (state, participants, close_reason) |
await hub.get_resume(agent_id) | Current Resume (including observed) |
await hub.get_passport(agent_id) | Current Passport |
await hub.list_agents(kind=None) | Registered passports; kind="agent" / "human" / "remote_agent" filters by Passport.kind |
await hub.read_wal(channel_id) | Ordered list of Envelopes in that channel |
await hub.audit_log.read_all() | Every audit record |
hub.arbiter | The active HubArbiter (read-only) |
The hub stamps Resume.last_updated on every mutation, so you can detect stale views by comparing timestamps. For push (vs. these pull calls), register a HubListener.
Quick reference — imports
from ag2.network import (
Passport, Resume, ResumeExample, ObservedStat,
Rule, AccessBlock, LimitsBlock, RateBlock, InboxBlock,
ChannelTypeAccess, parse_duration,
HubArbiter, BaseHubArbiter, RuleBasedArbiter, Allow, Deny,
HubListener, BaseHubListener,
AuthAdapter, AuthRegistry, AuthBlock, NoAuth, ApiKeyAuth,
Expectation,
ExpectationEvaluator, ExpectationContext,
AcksWithinEvaluator, ReplyWithinEvaluator, MaxSilenceEvaluator,
AuditHandler, NotifyChannelHandler, AutoCloseHandler,
Violation, ViolationHandler,
default_evaluators, default_handlers,
AUDIT_KIND_AGENT_REGISTERED,
AUDIT_KIND_AGENT_UNREGISTERED,
AUDIT_KIND_RESUME_SET,
AUDIT_KIND_SKILL_SET,
AUDIT_KIND_RULE_SET,
AUDIT_KIND_CHANNEL_CREATED,
AUDIT_KIND_CHANNEL_CLOSED,
AUDIT_KIND_CHANNEL_EXPIRED,
AUDIT_KIND_TASK_TERMINATED,
AUDIT_KIND_EXPECTATION_VIOLATED,
RESUME_SOURCE_OBSERVED, RESUME_SOURCE_TENANT,
TaskMirror,
NetworkError, AccessDeniedError, AuthError, InboxFull, NotFoundError, ProtocolError,
)