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* 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.
50 lines
1.3 KiB
Python
50 lines
1.3 KiB
Python
"""Public contracts for DeerFlow extensions.
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This package MUST NOT import `deerflow`. Everything an extension needs to
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integrate lives here, so an extension depends on this package alone and can
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be released independently of the host.
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"""
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from __future__ import annotations
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from deerflow_extension_api.contracts import (
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ExtensionInstall,
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ExtensionRegistry,
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HostPolicySnapshot,
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MiddlewareContributor,
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extension,
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)
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from deerflow_extension_api.placement import (
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AgentBuildContext,
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AgentScope,
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MiddlewarePlacement,
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Placement,
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)
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from deerflow_extension_api.runtime_bridge import (
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EXTENSION_TASK_STORE_KEY,
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task_store_from_runtime,
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)
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from deerflow_extension_api.state import ExtensionData
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#: Contract version. Pre-1.0: the contract surface is observational only
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#: (contributors and observers), so minors may break and only patches promise
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#: to be additive. From 1.0 on, bump the major on any breaking change; see the
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#: spec's evolution rules for what counts as additive.
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API_VERSION = "0.1.0"
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__all__ = [
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"API_VERSION",
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"EXTENSION_TASK_STORE_KEY",
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"AgentBuildContext",
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"AgentScope",
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"ExtensionData",
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"ExtensionInstall",
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"ExtensionRegistry",
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"HostPolicySnapshot",
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"MiddlewareContributor",
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"MiddlewarePlacement",
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"Placement",
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"extension",
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"task_store_from_runtime",
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]
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