Nan Gao 1f792d0f4b
feat(extensions): add middleware plugin foundation (#4636)
* feat(extensions): add middleware plugin foundation

* fix(extensions): stop config resolution from masking extension loading

`create_app()` resolved the configured plugin list inside the fail-open
guard around `load_extensions()`. CI has no `config.yaml` (gitignored and
never generated by the workflow), so `get_app_config()` raised
`FileNotFoundError` there and was swallowed as an extension failure --
`load_extensions()` never ran at all, and the four `create_app()` tests in
`test_extension_app_loading.py` passed locally but failed on every runner.

Resolve the plugin list before the guard. Only an absent `config.yaml` is
tolerated, mirroring `_resolve_trace_enabled_for_app_construction()`:
`create_app()` runs at import time, and lifespan still performs strict
config loading before serving. A `config.yaml` that exists but fails to
parse or validate now propagates instead of being reported as an extension
failure -- reporting it as the latter silently dropped a `required: true`
extension rather than failing the boot.

Make the tests config-independent with an autouse `stub_app_config`
fixture, following the existing pattern in `test_gateway_lifespan_shutdown.py`,
and cover both new branches of the config-resolution boundary.

* fix(extensions): bind the run's extension snapshot through subagent delegation

The lead-agent path resolves one immutable loaded-extension snapshot per run
and binds it through task-store allocation and graph construction, but the
subagent path re-read the process-wide singleton at execution time. In
production both are the same object, yet a `set_loaded_extensions()` between
the lead run's start and a subagent's execution (test teardown, a future
hot-reload path) would let one run mix two extension generations — exactly what
the documented invariant exists to prevent.

The graph-build binding is a ContextVar scoped to synchronous construction, so
it has already exited by the time a tool delegates; the snapshot has to travel
through runtime context instead. The run worker publishes it under the
host-internal `EXTENSION_SNAPSHOT_CONTEXT_KEY` (written after the caller merge,
popped when the run has none, so a caller-supplied value is never
authoritative), `task_tool` reads it back through the type-checking
`resolve_run_extensions()`, and `SubagentExecutor` binds it at construction.

Callers outside the Gateway run path — embedded `DeerFlowClient`, standalone
LangGraph Server — install no snapshot and keep the existing
`get_loaded_extensions()` fallback.

* refactor(extensions): defer the ordering table by call, not by a lying tuple

`CORE_ORDERING_CONSTRAINTS` was a `tuple` subclass that overrode only
`__iter__` and resolved into a class-level `_resolved` side channel. A tuple
cannot populate its own storage after construction, so the instance stayed the
empty tuple it was built as: `len()` was 0, `bool()` was False, `in` was always
False, indexing raised, slicing and `reversed()` came back empty, and it
compared unequal to the plain tuples tests substitute for it — all while
iteration yielded the real constraints. Only `assert_ordering` consumed it, and
only by iterating, so the split went unnoticed.

The sibling `_AnchorTable(dict)` uses the same idea soundly because dict is
mutable: `self.update()` fills the real storage, making every inherited
operation correct. That trick does not survive the port to an immutable type.

Replace it with `core_ordering_constraints()`, matching how `stack.py` defers
the same kind of table via `_anchors()`. The deferral is kept — it is about
dependency direction, not just cycles: `extensions/` is the layer the
middleware layer calls into, so a module-scope `agents.middlewares` import here
points the dependency backwards and closes a cycle as soon as any middleware
imports something under `extensions/` at module level. Resolution stays at
`assert_ordering` time, which already runs inside the middleware builder.

Tests pin both halves: the returned value is a plain tuple whose len/bool/
membership/indexing/reversal/equality agree with iteration, and a subprocess
probe asserts importing `extensions.ordering` does not load the middleware
layer while calling the function does.
2026-08-04 22:33:26 +08:00

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Python

"""The extension contracts and their data types.
Compatibility rules enforced throughout this module:
* every Protocol method carries a default implementation, so adding a method
later stays additive for already-released extensions;
* every optional dataclass field carries a default, so adding a field stays
additive.
"""
from __future__ import annotations
from collections.abc import Callable, Mapping, Sequence
from dataclasses import dataclass
from typing import TYPE_CHECKING, Any, Protocol, TypeVar, runtime_checkable
from deerflow_extension_api.state import ExtensionData
if TYPE_CHECKING: # pragma: no cover - typing only
from deerflow_extension_api.placement import AgentBuildContext, MiddlewarePlacement
F = TypeVar("F", bound=Callable[..., Any])
# --- Host projections -------------------------------------------------------
@dataclass(frozen=True)
class HostPolicySnapshot:
"""The limits the host actually enforces, projected for extensions.
A narrow projection instead of the host's AppConfig: exposing AppConfig
would pin every extension to the harness release cadence. Every field has
a default so widening this stays additive.
"""
token_budget_enabled: bool = False
max_input_tokens: int | None = None
max_output_tokens: int | None = None
max_total_tokens: int | None = None
budget_warn_fraction: float | None = None
budget_hard_fraction: float | None = None
max_subagents_per_run: int | None = None
# --- Middleware -------------------------------------------------------------
class MiddlewareContributor(Protocol):
def contribute_middlewares(
self,
app_store: ExtensionData,
ctx: AgentBuildContext,
) -> Sequence[MiddlewarePlacement]:
return ()
# --- Registration surface ---------------------------------------------------
@runtime_checkable
class ExtensionRegistry(Protocol):
"""The write-only registration surface handed to ``install()``.
Structural and minimal on purpose. This first capability slice exposes
middleware contribution only; later slices can add defaulted registration
methods without breaking existing implementations. The host's concrete
registry additionally carries host-only machinery (attribution, positional
rollback, build) that is deliberately absent here.
"""
def middlewares(self, contributor: MiddlewareContributor) -> None:
return None
#: The install() entry point signature every extension exposes.
ExtensionInstall = Callable[[ExtensionRegistry, Mapping[str, Any]], None]
# --- Declaration decorator --------------------------------------------------
def extension(*, api: str, name: str | None = None) -> Callable[[F], F]:
"""Stamp an install function with the API version it was written against.
Optional. pip's dependency resolution is the primary compatibility
mechanism; this covers `--no-deps` installs and editable monorepo checkouts
where versions can skew, and turns a deep AttributeError into an
actionable startup diagnostic.
"""
def _decorate(func: F) -> F:
func.__deerflow_api__ = api # type: ignore[attr-defined]
func.__deerflow_name__ = name # type: ignore[attr-defined]
return func
return _decorate