use std::sync::Arc;
use async_trait::async_trait;
use serde_json::json;
use crate::application::orchestration::runtime_job_payloads::{
PromptJobPayload,
};
use crate::application::runtime::identity_context_compiler::{
load_identity_context_summary, prepend_identity_snapshot,
};
use crate::application::runtime::memory_persistence_helpers::{
SttpPromptNodeFormat, memory_query_fingerprint, memory_query_id, memory_scope_hash,
render_prompt_response_sttp_node, resolve_sttp_output_node_id, should_store,
};
use crate::application::runtime::memory_recall_request_builder::build_memory_recall_request;
use crate::application::orchestration::prompt_pipeline::{
PromptExecutionPipeline, PromptExecutionRequest,
};
use crate::application::runtime::in_memory_runtime::{JobExecutionOutcome, JobHandler};
use crate::application::runtime::runtime_diagnostics_helpers::{
build_runtime_failure_identity_context_section, build_runtime_failure_memory_recall_section,
build_runtime_memory_diagnostics_bundle, RuntimeIdentityDiagnosticsInput,
RuntimeMemoryRecallDiagnosticsInput, RuntimeMemoryStoreDiagnosticsInput,
};
use crate::application::runtime::runtime_handler_execution_context::RuntimeHandlerExecutionContext;
use crate::domain::errors::Result;
use crate::domain::runtime::job::Job;
use crate::ports::outbound::ai_chat_client::AiChatClient;
use crate::ports::outbound::memory::identity_memory_store::IdentityMemoryStore;
use crate::ports::outbound::memory::memory_context_reader::MemoryContextReader;
use crate::ports::outbound::memory::memory_context_writer::MemoryContextWriter;
use crate::ports::outbound::memory::memory_models::MemoryStoreRequest;
pub struct PromptChatJobHandler {
pipeline: PromptExecutionPipeline,
memory_reader: Option<Arc<dyn MemoryContextReader>>,
memory_writer: Option<Arc<dyn MemoryContextWriter>>,
identity_memory_store: Option<Arc<dyn IdentityMemoryStore>>,
}
impl PromptChatJobHandler {
pub fn new(chat_client: Arc<dyn AiChatClient>) -> Self {
Self::new_with_memory_and_identity(chat_client, None, None, None)
}
pub fn new_with_memory(
chat_client: Arc<dyn AiChatClient>,
memory_reader: Option<Arc<dyn MemoryContextReader>>,
memory_writer: Option<Arc<dyn MemoryContextWriter>>,
) -> Self {
Self::new_with_memory_and_identity(chat_client, memory_reader, memory_writer, None)
}
pub fn new_with_memory_and_identity(
chat_client: Arc<dyn AiChatClient>,
memory_reader: Option<Arc<dyn MemoryContextReader>>,
memory_writer: Option<Arc<dyn MemoryContextWriter>>,
identity_memory_store: Option<Arc<dyn IdentityMemoryStore>>,
) -> Self {
Self {
pipeline: PromptExecutionPipeline::new(chat_client),
memory_reader,
memory_writer,
identity_memory_store,
}
}
fn parse_payload(raw: &str) -> std::result::Result<PromptJobPayload, String> {
let payload: PromptJobPayload = serde_json::from_str(raw)
.map_err(|err| format!("policy violation: invalid prompt job payload json: {err}"))?;
if payload.user_prompt.trim().is_empty() {
return Err(
"policy violation: prompt payload.user_prompt must be non-empty".to_string(),
);
}
Ok(payload)
}
fn build_failure(message: String) -> JobExecutionOutcome {
let diagnostics = json!({
"provider": "stasis-pipeline",
"status": "failure",
"guardrail_code": "POLICY_VIOLATION",
"policy_reason": &message,
})
.to_string();
JobExecutionOutcome::FatalFailure {
message,
execution_id: None,
diagnostics: Some(diagnostics),
}
}
}
#[async_trait]
impl JobHandler for PromptChatJobHandler {
fn job_type(&self) -> &'static str {
"workflow.stasis.prompt"
}
async fn execute(&self, job: &Job) -> Result<JobExecutionOutcome> {
let payload = match Self::parse_payload(&job.payload_ref) {
Ok(payload) => payload,
Err(message) => return Ok(Self::build_failure(message)),
};
let execution_context = RuntimeHandlerExecutionContext::new(
job,
payload.policy_profile.clone(),
payload.model_hint.clone(),
self.memory_reader.is_some(),
self.memory_writer.is_some(),
self.identity_memory_store.is_some(),
);
let mut memory_recall = None;
let mut memory_recall_error = None;
let mut input_memory_query_id = None;
let mut input_memory_query_fingerprint = None;
let memory_policy = payload.memory_policy.as_ref();
let (identity_summary, identity_error) = load_identity_context_summary(
self.identity_memory_store.as_ref(),
execution_context.correlation_id(),
execution_context.policy_profile(),
)
.await;
let effective_user_prompt =
prepend_identity_snapshot(&payload.user_prompt, identity_summary.as_deref());
if let Some(reader) = &self.memory_reader {
let recall_request = build_memory_recall_request(
execution_context.correlation_id(),
Some(&effective_user_prompt),
memory_policy,
);
input_memory_query_id = Some(memory_query_id(
execution_context.correlation_id(),
&recall_request,
));
input_memory_query_fingerprint = Some(memory_query_fingerprint(&recall_request));
match reader.recall(&recall_request).await {
Ok(response) => memory_recall = Some(response),
Err(err) => memory_recall_error = Some(err.to_string()),
}
}
let context = execution_context.prompt_context_clone();
let user_prompt = effective_user_prompt;
let mut request = PromptExecutionRequest::from_user_prompt(user_prompt.clone())
.with_context(context.clone());
if let Some(system_prompt) = payload.system_prompt {
request = request.with_system_prompt(system_prompt);
}
let response = match self.pipeline.execute(request).await {
Ok(response) => response,
Err(err) => {
let error = err.to_string();
return Ok(JobExecutionOutcome::FatalFailure {
message: error.clone(),
execution_id: None,
diagnostics: Some(
json!({
"provider": "stasis-pipeline",
"status": "failure",
"error": error,
"policy_profile": execution_context.policy_profile_clone(),
"model_hint": execution_context.model_hint_clone(),
"memory_recall": build_runtime_failure_memory_recall_section(
execution_context.memory_reader_enabled(),
memory_recall_error,
),
"identity_context": build_runtime_failure_identity_context_section(
execution_context.identity_enabled(),
identity_summary,
identity_error,
),
})
.to_string(),
),
});
}
};
let mut memory_store = None;
let mut memory_store_error = None;
if should_store(memory_policy)
&& let Some(writer) = &self.memory_writer
{
let store_request = MemoryStoreRequest {
session_id: execution_context.correlation_id().to_string(),
raw_node: render_prompt_response_sttp_node(
execution_context.correlation_id(),
&user_prompt,
&response.text,
SttpPromptNodeFormat::UntaggedNoSchema,
),
};
match writer.store_context(&store_request).await {
Ok(stored) => memory_store = Some(stored),
Err(err) => memory_store_error = Some(err.to_string()),
}
}
let sttp_output_node_id =
resolve_sttp_output_node_id(memory_store.as_ref(), format!("sttp:prompt:{}", job.id));
let memory_scope_hash = memory_scope_hash(execution_context.correlation_id(), memory_policy);
let input_memory_query_id_for_top_level = input_memory_query_id.clone();
let input_memory_query_fingerprint_for_top_level =
input_memory_query_fingerprint.clone();
let diagnostics_bundle = build_runtime_memory_diagnostics_bundle(
RuntimeMemoryRecallDiagnosticsInput {
attempted: execution_context.memory_reader_enabled(),
response: memory_recall,
query_id: input_memory_query_id,
query_fingerprint: input_memory_query_fingerprint,
error: memory_recall_error,
},
RuntimeMemoryStoreDiagnosticsInput {
attempted: execution_context.memory_writer_enabled(),
response: memory_store,
error: memory_store_error,
},
RuntimeIdentityDiagnosticsInput {
attempted: execution_context.identity_enabled(),
summary: identity_summary,
error: identity_error,
},
);
let diagnostics = json!({
"provider": "stasis-pipeline",
"status": "success",
"trace_id": context.trace_id,
"correlation_id": context.correlation_id,
"policy_profile": response.metadata.policy_profile,
"model_hint": response.metadata.model_hint,
"output_text": response.text,
"output_preview": response.text.chars().take(160).collect::<String>(),
"memory_retrieved_count": diagnostics_bundle.retrieved_count,
"memory_retrieval_path": diagnostics_bundle.retrieval_path,
"memory_fallback_triggered": diagnostics_bundle.fallback_triggered,
"memory_fallback_reason": diagnostics_bundle.fallback_reason,
"memory_scope_hash": memory_scope_hash,
"memory_store_valid": diagnostics_bundle.store_valid,
"memory_store_node_id": diagnostics_bundle.store_node_id,
"input_memory_query_id": input_memory_query_id_for_top_level,
"input_memory_query_fingerprint": input_memory_query_fingerprint_for_top_level,
"output_memory_node_id": diagnostics_bundle.store_node_id,
"memory_recall": diagnostics_bundle.memory_recall,
"memory_store": diagnostics_bundle.memory_store,
"identity_context": diagnostics_bundle.identity_context,
})
.to_string();
Ok(JobExecutionOutcome::Success {
sttp_output_node_id,
execution_id: None,
diagnostics: Some(diagnostics),
})
}
}