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cleveragents-core/benchmarks/actor_compiler_bench.py
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feat(actor): compile hierarchical actor configs to LangGraph
Add ActorCompiler module that translates GRAPH-type ActorConfigSchema
definitions into LangGraph NodeConfig/Edge structures with LSP binding
metadata. Includes subgraph resolution with cross-actor cycle detection,
entry/exit validation, and CompilationMetadata for diagnostics.

New files:
- src/cleveragents/actor/compiler.py: Core compiler with compile_actor()
- features/actor_compiler.feature: 13 Behave scenarios
- features/steps/actor_compiler_steps.py: Step definitions
- robot/actor_compiler.robot: 4 Robot smoke tests
- benchmarks/actor_compiler_bench.py: ASV performance benchmarks
- docs/reference/actor_compiler.md: Compilation pipeline reference

Modified:
- src/cleveragents/actor/__init__.py: Export compiler types
- vulture_whitelist.py: Whitelist new public API

ISSUES CLOSED: #158
2026-02-24 17:57:18 +00:00

168 lines
4.4 KiB
Python

"""ASV benchmarks for actor compiler throughput.
Measures the performance of:
- compile_actor() on a simple two-node graph
- compile_actor() on a larger multi-node graph
- Subgraph cycle detection overhead
- Compilation metadata serialization
"""
from __future__ import annotations
import importlib
import sys
from pathlib import Path
_SRC = str(Path(__file__).resolve().parents[1] / "src")
if _SRC not in sys.path:
sys.path.insert(0, _SRC)
import cleveragents # noqa: E402
importlib.reload(cleveragents)
from cleveragents.actor.compiler import compile_actor # noqa: E402
from cleveragents.actor.schema import ( # noqa: E402
ActorConfigSchema,
ActorType,
EdgeDefinition,
NodeDefinition,
NodeType,
RouteDefinition,
)
def _make_graph(node_count: int) -> ActorConfigSchema:
"""Build a linear graph with *node_count* agent nodes."""
nodes: list[NodeDefinition] = []
edges: list[EdgeDefinition] = []
for i in range(node_count):
nodes.append(
NodeDefinition(
id=f"node-{i}",
type=NodeType.AGENT,
name=f"Node {i}",
description=f"Agent node {i}",
config={"agent": f"agent_{i}"},
)
)
if i > 0:
edges.append(EdgeDefinition(from_node=f"node-{i - 1}", to_node=f"node-{i}"))
route = RouteDefinition(
nodes=nodes,
edges=edges,
entry_node="node-0",
exit_nodes=[f"node-{node_count - 1}"],
)
return ActorConfigSchema(
name="bench/graph",
type=ActorType.GRAPH,
description="Benchmark graph",
model="gpt-4",
route=route,
)
class CompileSimpleSuite:
"""Benchmark compile_actor on a simple 2-node graph."""
timeout = 60
def setup(self) -> None:
self.config = _make_graph(2)
def time_compile_simple(self) -> None:
compile_actor(self.config)
class CompileLargeSuite:
"""Benchmark compile_actor on a 20-node linear graph."""
timeout = 60
def setup(self) -> None:
self.config = _make_graph(20)
def time_compile_large(self) -> None:
compile_actor(self.config)
class MetadataSerializationSuite:
"""Benchmark compilation metadata serialization."""
timeout = 60
def setup(self) -> None:
self.config = _make_graph(10)
self.compiled = compile_actor(self.config)
def time_metadata_dump(self) -> None:
self.compiled.metadata.model_dump(mode="json")
class SubgraphResolutionSuite:
"""Benchmark compile_actor with subgraph resolution."""
timeout = 60
def setup(self) -> None:
inner_nodes = [
NodeDefinition(
id="inner",
type=NodeType.AGENT,
name="Inner",
description="Inner agent",
config={"agent": "inner"},
),
]
inner_route = RouteDefinition(
nodes=inner_nodes,
edges=[],
entry_node="inner",
exit_nodes=["inner"],
)
self.inner_config = ActorConfigSchema(
name="bench/inner",
type=ActorType.GRAPH,
description="Inner graph",
model="gpt-4",
route=inner_route,
)
outer_nodes = [
NodeDefinition(
id="main",
type=NodeType.AGENT,
name="Main",
description="Main agent",
config={"agent": "main"},
),
NodeDefinition(
id="sub",
type=NodeType.SUBGRAPH,
name="Sub",
description="Subgraph ref",
config={"actor_ref": "bench/inner"},
),
]
outer_edges = [EdgeDefinition(from_node="main", to_node="sub")]
outer_route = RouteDefinition(
nodes=outer_nodes,
edges=outer_edges,
entry_node="main",
exit_nodes=["sub"],
)
self.outer_config = ActorConfigSchema(
name="bench/outer",
type=ActorType.GRAPH,
description="Outer graph",
model="gpt-4",
route=outer_route,
)
self.resolver = lambda name: (
self.inner_config if name == "bench/inner" else None
)
def time_compile_with_subgraph(self) -> None:
compile_actor(self.outer_config, actor_resolver=self.resolver)