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docs: fix the guide on persistence (#2849)
Co-authored-by: Lucas Gomide <lucaslg200@gmail.com>
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@@ -277,22 +277,23 @@ This pattern allows you to combine direct data passing with state updates for ma
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One of CrewAI's most powerful features is the ability to persist flow state across executions. This enables workflows that can be paused, resumed, and even recovered after failures.
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### The @persist Decorator
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### The @persist() Decorator
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The `@persist` decorator automates state persistence, saving your flow's state at key points in execution.
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The `@persist()` decorator automates state persistence, saving your flow's state at key points in execution.
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#### Class-Level Persistence
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When applied at the class level, `@persist` saves state after every method execution:
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When applied at the class level, `@persist()` saves state after every method execution:
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```python
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from crewai.flow.flow import Flow, listen, persist, start
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from crewai.flow.flow import Flow, listen, start
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from crewai.flow.persistence import persist
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from pydantic import BaseModel
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class CounterState(BaseModel):
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value: int = 0
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@persist # Apply to the entire flow class
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@persist() # Apply to the entire flow class
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class PersistentCounterFlow(Flow[CounterState]):
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@start()
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def increment(self):
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@@ -319,10 +320,11 @@ print(f"Second run result: {result2}") # Will be higher due to persisted state
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#### Method-Level Persistence
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For more granular control, you can apply `@persist` to specific methods:
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For more granular control, you can apply `@persist()` to specific methods:
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```python
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from crewai.flow.flow import Flow, listen, persist, start
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from crewai.flow.flow import Flow, listen, start
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from crewai.flow.persistence import persist
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class SelectivePersistFlow(Flow):
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@start()
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@@ -330,7 +332,7 @@ class SelectivePersistFlow(Flow):
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self.state["count"] = 1
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return "First step"
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@persist # Only persist after this method
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@persist() # Only persist after this method
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@listen(first_step)
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def important_step(self, prev_result):
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self.state["count"] += 1
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