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# Conditional Middleware
Conditional middleware allows you to route execution to different middleware based on runtime conditions.
## Basic Usage
Use `ConditionalMiddleware` to branch based on a predicate function:
```python
from pydantic_ai_middleware import ConditionalMiddleware
def is_admin(ctx):
return ctx is not None and ctx.config.get("role") == "admin"
middleware = ConditionalMiddleware(
condition=is_admin,
when_true=AdminMiddleware(),
when_false=UserMiddleware(),
)
```
## Predicate Functions
Predicates receive a `ScopedContext` and return a boolean:
```python
from pydantic_ai_middleware import ScopedContext, HookType
def is_after_run(ctx: ScopedContext | None) -> bool:
return ctx is not None and ctx.current_hook == HookType.AFTER_RUN
def has_feature_flag(ctx: ScopedContext | None) -> bool:
return ctx is not None and ctx.config.get("feature_enabled", False)
```
## Middleware Pipelines
Both branches can accept a single middleware or a sequence:
```python
middleware = ConditionalMiddleware(
condition=is_admin,
when_true=[AuditMiddleware(), AdminMiddleware()], # Pipeline
when_false=UserMiddleware(), # Single middleware
)
```
## Optional Else Branch
The `when_false` branch is optional. When omitted, the condition acts as a guard:
```python
middleware = ConditionalMiddleware(
condition=lambda ctx: ctx is not None and ctx.config.get("logging_enabled"),
when_true=LoggingMiddleware(),
# No when_false - just pass through when condition is False
)
```
## Next Steps
- [Middleware Chains](middleware-chains.md) - Sequential composition
- [Config Loading](config-loading.md) - Load pipelines from config files
- [API Reference](../api/conditional.md) - ConditionalMiddleware API