pub trait Module: Send + Sync {
// Required methods
fn input_schema(&self) -> Value;
fn output_schema(&self) -> Value;
fn description(&self) -> &str;
fn execute<'life0, 'life1, 'async_trait>(
&'life0 self,
inputs: Value,
ctx: &'life1 Context<Value>,
) -> Pin<Box<dyn Future<Output = Result<Value, ModuleError>> + Send + 'async_trait>>
where Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait;
// Provided methods
fn stream(
&self,
_inputs: Value,
_ctx: &Context<Value>,
) -> Option<ChunkStream> { ... }
fn describe(&self) -> Value { ... }
fn preflight(&self) -> PreflightResult { ... }
fn on_load(&self) -> Result<(), ModuleError> { ... }
fn on_unload(&self) { ... }
fn on_suspend(&self) -> Option<Value> { ... }
fn on_resume(&self, _state: Value) { ... }
}Expand description
Core trait that all APCore modules must implement.
Required Methods§
Sourcefn input_schema(&self) -> Value
fn input_schema(&self) -> Value
Returns the JSON Schema describing this module’s input.
Sourcefn output_schema(&self) -> Value
fn output_schema(&self) -> Value
Returns the JSON Schema describing this module’s output.
Sourcefn description(&self) -> &str
fn description(&self) -> &str
Returns a human-readable description of this module.
Sourcefn execute<'life0, 'life1, 'async_trait>(
&'life0 self,
inputs: Value,
ctx: &'life1 Context<Value>,
) -> Pin<Box<dyn Future<Output = Result<Value, ModuleError>> + Send + 'async_trait>>where
Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
fn execute<'life0, 'life1, 'async_trait>(
&'life0 self,
inputs: Value,
ctx: &'life1 Context<Value>,
) -> Pin<Box<dyn Future<Output = Result<Value, ModuleError>> + Send + 'async_trait>>where
Self: 'async_trait,
'life0: 'async_trait,
'life1: 'async_trait,
Execute the module with the given inputs and context.
Provided Methods§
Sourcefn stream(&self, _inputs: Value, _ctx: &Context<Value>) -> Option<ChunkStream>
fn stream(&self, _inputs: Value, _ctx: &Context<Value>) -> Option<ChunkStream>
Stream execution — returns an async Stream of output chunks.
Returns None if the module does not support streaming, signaling
the executor to fall back to execute(). Modules that support
streaming should override this to yield chunks incrementally — each
yield is delivered to the caller as soon as it is produced (true
streaming, no buffering).
Note: this method is not async even though it returns a stream.
The returned ChunkStream is itself an async iterator; constructing
it must be cheap and synchronous so the executor can wire it into
its own pipeline before the first chunk is awaited.
Validation contract: Executor::stream validates the module’s
merged output (all chunks deep-merged) against output_schema only
after the stream is exhausted (Phase 3). Individual chunks are not
validated as they are yielded. Callers performing incremental chunk
processing must tolerate receiving chunks that may not independently
satisfy output_schema. If per-chunk schema guarantees are required,
validate each chunk inside this method before yielding it.
Sourcefn describe(&self) -> Value
fn describe(&self) -> Value
Return a structured description of this module for AI/LLM consumption (spec §5.6).
Default: builds description from input_schema, output_schema, and description.
Sourcefn preflight(&self) -> PreflightResult
fn preflight(&self) -> PreflightResult
Run preflight checks before execution.
Sourcefn on_load(&self) -> Result<(), ModuleError>
fn on_load(&self) -> Result<(), ModuleError>
Called after the module is registered.
Returns Err to signal that the module failed to initialise; the
registry rolls back the insertion so no half-initialised module remains
registered. Aligns with apcore-python Registry._invoke_on_load.
Default: no-op (Ok(())).
Sourcefn on_suspend(&self) -> Option<Value>
fn on_suspend(&self) -> Option<Value>
Called before hot-reload to capture state. Returns state dict for on_resume().
Default: returns None (no state to preserve).