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use crate::jsonrpc::Result;
use max_protocol::{IntentValidateParams, IntentValidateResult, IntentOutcome};
use wasm4pm_cognition::breeds::{BreedInput, CognitionBreed};
use wasm4pm_cognition::breeds::prolog::Prolog;
/// Validates an agent's intent using wasm4pm cognitive breeds.
/// This implements the doctrine that "MCP & A2A are downstream of LSP"
/// by evaluating natural language and intents via cognitive WASM engines.
pub async fn max_intent_validate(params: IntentValidateParams) -> Result<IntentValidateResult> {
// 1. We instantiate a cognitive breed (e.g., Prolog).
// In a full implementation, we'd route this based on the intent kind,
// but here we demonstrate the cognitive validation of language constraints.
let breed = Prolog;
// 2. We construct a Cognitive Breed Input from the agent's intent.
let input = BreedInput {
intent: format!("Validate intent {}", params.intent_id),
..Default::default()
};
// 3. We run the WASM Cognitive Breed (the native NLP/Reasoning engine of LSP).
match breed.run(&input) {
Ok(output) => {
let is_valid = !output.facts.is_empty() || !output.explanation.is_empty();
let outcome = if is_valid {
IntentOutcome::Cleared
} else {
IntentOutcome::Blocked {
reason: "Cognitive validation rejected the intent due to insufficient standing.".to_string()
}
};
Ok(IntentValidateResult {
intent_id: params.intent_id,
valid: is_valid,
outcome,
violations: vec![],
})
}
Err(err) => {
Ok(IntentValidateResult {
intent_id: params.intent_id,
valid: false,
outcome: IntentOutcome::Blocked { reason: format!("Cognition failure: {}", err) },
violations: vec![],
})
}
}
}