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https://github.com/langchain-ai/langgraph.git
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@@ -149,6 +149,136 @@ def build_stategraph_sequential() -> Any:
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return graph.compile()
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def build_advanced_parallel_blocking() -> Any:
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graph: AdvancedStateGraph[dict[str, Any]] = AdvancedStateGraph(dict)
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done_channel = "__bench_done_channel_blocking"
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graph.add_async_channel(done_channel, str)
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async def start_node(state: dict[str, Any]) -> Command:
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_ = state
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sends = [Send(f"middle_blocking_{i}", None) for i in range(MIDDLE_COUNT)]
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sends.append(Send("end_node_blocking", None))
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return Command(goto=sends)
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async def end_node_blocking(ctx: Any, state: dict[str, Any]) -> dict[str, Any]:
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await ctx.wait_for(channel_condition(done_channel, n=MIDDLE_COUNT))
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out = dict(state)
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out["done"] = True
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return out
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graph.add_entry_node(start_node)
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for i in range(MIDDLE_COUNT):
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async def middle_blocking(
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ctx: Any, state: dict[str, Any], idx: int = i
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) -> None:
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_ = idx
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_ = state
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time.sleep(BLOCKING_SECONDS)
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ctx.publish_to_channel(done_channel, "done")
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graph.add_node(f"middle_blocking_{i}", middle_blocking)
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graph.add_finish_node(end_node_blocking)
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return graph.compile()
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def build_advanced_sequential_blocking() -> Any:
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graph: AdvancedStateGraph[dict[str, Any]] = AdvancedStateGraph(dict)
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async def start_node(state: dict[str, Any]) -> Command:
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_ = state
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return Command(goto=Send("middle_blocking_seq_0", None))
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async def end_node_blocking_seq(state: dict[str, Any]) -> dict[str, Any]:
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out = dict(state)
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out["done"] = True
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return out
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graph.add_entry_node(start_node)
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def make_middle(target: str):
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async def middle_blocking_seq(state: dict[str, Any]) -> Command:
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_ = state
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time.sleep(BLOCKING_SECONDS)
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return Command(goto=Send(target, None))
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return middle_blocking_seq
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for i in range(MIDDLE_COUNT):
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next_name = (
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"end_node_blocking_seq"
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if i == MIDDLE_COUNT - 1
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else f"middle_blocking_seq_{i+1}"
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)
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graph.add_node(f"middle_blocking_seq_{i}", make_middle(next_name))
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graph.add_finish_node(end_node_blocking_seq)
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return graph.compile()
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def build_stategraph_parallel_blocking() -> Any:
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graph = StateGraph(dict)
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async def start_node(state: dict[str, Any]) -> None:
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_ = state
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async def end_node(state: dict[str, Any]) -> dict[str, Any]:
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out = dict(state)
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out["done"] = True
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return out
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graph.add_node("start_node", start_node)
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for i in range(MIDDLE_COUNT):
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async def middle_blocking(state: dict[str, Any], idx: int = i) -> None:
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_ = idx
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_ = state
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time.sleep(BLOCKING_SECONDS)
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graph.add_node(f"middle_blocking_{i}", middle_blocking)
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graph.add_node("end_node", end_node)
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graph.add_edge(START, "start_node")
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for i in range(MIDDLE_COUNT):
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graph.add_edge("start_node", f"middle_blocking_{i}")
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graph.add_edge(f"middle_blocking_{i}", "end_node")
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graph.add_edge("end_node", END)
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return graph.compile()
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def build_stategraph_sequential_blocking() -> Any:
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graph = StateGraph(dict)
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async def start_node(state: dict[str, Any]) -> None:
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_ = state
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async def end_node(state: dict[str, Any]) -> dict[str, Any]:
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out = dict(state)
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out["done"] = True
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return out
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graph.add_node("start_node", start_node)
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for i in range(MIDDLE_COUNT):
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async def middle_blocking_seq(state: dict[str, Any], idx: int = i) -> None:
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_ = idx
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_ = state
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time.sleep(BLOCKING_SECONDS)
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graph.add_node(f"middle_blocking_seq_{i}", middle_blocking_seq)
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graph.add_node("end_node", end_node)
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graph.add_edge(START, "start_node")
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graph.add_edge("start_node", "middle_blocking_seq_0")
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for i in range(MIDDLE_COUNT - 1):
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graph.add_edge(
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f"middle_blocking_seq_{i}",
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f"middle_blocking_seq_{i+1}",
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)
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graph.add_edge(f"middle_blocking_seq_{MIDDLE_COUNT - 1}", "end_node")
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graph.add_edge("end_node", END)
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return graph.compile()
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async def run_benchmark(name: str, compiled: Any) -> float:
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started = time.perf_counter()
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tasks = [asyncio.create_task(compiled.ainvoke(make_initial_state())) for _ in range(RUNS)]
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@@ -165,6 +295,10 @@ async def main() -> None:
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("advanced-graph-sequential", build_advanced_sequential()),
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("state-graph-parallel", build_stategraph_parallel()),
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("state-graph-sequential", build_stategraph_sequential()),
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("advanced-graph-parallel-blocking", build_advanced_parallel_blocking()),
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("advanced-graph-sequential-blocking", build_advanced_sequential_blocking()),
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("state-graph-parallel-blocking", build_stategraph_parallel_blocking()),
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("state-graph-sequential-blocking", build_stategraph_sequential_blocking()),
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]
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print(
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f"runs={RUNS}, middle_nodes={MIDDLE_COUNT}, sleep={SLEEP_SECONDS}s, "
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