> ## Documentation Index
> Fetch the complete documentation index at: https://praison.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# conditions • Rust AI Agent SDK
> Conditions Module for PraisonAI Rust SDK
# conditions
Rust AI Agent SDK
Conditions Module for PraisonAI Rust SDK
Provides condition protocols and implementations for workflow routing.
Enables unified condition evaluation across AgentFlow and AgentTeam.
# Example
```rust,ignore theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
use praisonai::conditions::{ExpressionCondition, DictCondition};
// Expression-based condition
let cond = ExpressionCondition::new("score > 80");
let result = cond.evaluate(&context);
// Dictionary-based condition
let cond = DictCondition::new()
.when("approved", vec!["review_task"])
.when("rejected", vec!["revision_task"]);
```
## Import
```rust theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
use praisonai::conditions::*;
```
## Classes
Simple expression-based condition. Evaluates simple expressions like 'score 80' or 'status == 'approved''.
Dictionary-based condition for routing. Maps values to target tasks/steps.
Builder for creating conditions.
Protocol trait for condition implementations. This defines the essential interface that any condition must provide. It enables unified condition...
Extended protocol for conditions that support routing to targets. This extends ConditionProtocol with the ability to return target tasks/steps based...
## Functions
Evaluate a condition expression against a context. Convenience function for simple condition evaluation.
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## Related Documentation