use serde::{Deserialize, Serialize};
use std::sync::Arc;
use super::{bus, config};
use crate::protocols::openai::chat_completions::{
NvCreateChatCompletionRequest, NvCreateChatCompletionResponse,
};
#[derive(Serialize, Deserialize, Clone)]
pub struct AuditRecord {
pub schema_version: u32,
pub request_id: String,
pub requested_streaming: bool,
pub model: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub request: Option<Arc<NvCreateChatCompletionRequest>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub response: Option<Arc<NvCreateChatCompletionResponse>>,
}
pub struct AuditHandle {
requested_streaming: bool,
request_id: String,
model: String,
req_full: Option<Arc<NvCreateChatCompletionRequest>>,
resp_full: Option<Arc<NvCreateChatCompletionResponse>>,
}
impl AuditHandle {
pub fn streaming(&self) -> bool {
self.requested_streaming
}
pub fn set_request(&mut self, req: Arc<NvCreateChatCompletionRequest>) {
self.req_full = Some(req);
}
pub fn set_response(&mut self, resp: Arc<NvCreateChatCompletionResponse>) {
self.resp_full = Some(resp);
}
pub fn emit(self) {
let rec = AuditRecord {
schema_version: 1,
request_id: self.request_id,
requested_streaming: self.requested_streaming,
model: self.model,
request: self.req_full,
response: self.resp_full,
};
bus::publish(rec);
}
}
pub fn create_handle(req: &NvCreateChatCompletionRequest, request_id: &str) -> Option<AuditHandle> {
let policy = config::policy();
if !policy.enabled {
return None;
}
if !policy.force_logging && !req.inner.store.unwrap_or(false) {
return None;
}
let requested_streaming = req.inner.stream.unwrap_or(false);
let model = req.inner.model.clone();
Some(AuditHandle {
requested_streaming,
request_id: request_id.to_string(),
model,
req_full: None,
resp_full: None,
})
}
#[cfg(test)]
mod tests {
use super::*;
use std::sync::Arc;
use temp_env::with_vars;
fn create_test_request(model: &str, store: bool) -> NvCreateChatCompletionRequest {
let json = serde_json::json!({
"model": model,
"messages": [{"role": "user", "content": "test"}],
"store": store
});
serde_json::from_value(json).expect("Failed to create test request")
}
fn create_test_request_with_agent_context() -> NvCreateChatCompletionRequest {
let json = serde_json::json!({
"model": "test-model",
"messages": [{"role": "user", "content": "test"}],
"store": true,
"nvext": {
"agent_context": {
"session_type_id": "deep_research",
"session_id": "run-123",
"trajectory_id": "run-123:researcher",
"parent_trajectory_id": "run-123:planner"
}
}
});
serde_json::from_value(json).expect("Failed to create test request")
}
fn create_test_response(content: &str) -> NvCreateChatCompletionResponse {
let json = serde_json::json!({
"id": "chatcmpl-test",
"object": "chat.completion",
"created": 1234567890,
"model": "test-model",
"choices": [{
"index": 0,
"message": {
"role": "assistant",
"content": content
},
"finish_reason": "stop"
}]
});
serde_json::from_value(json).expect("Failed to create test response")
}
#[test]
fn test_force_logging_bypasses_store() {
with_vars(
[
("DYN_AUDIT_SINKS", Some("stderr")),
("DYN_AUDIT_FORCE_LOGGING", Some("true")),
],
|| {
let request = create_test_request("test-model", false);
let handle = create_handle(&request, "test-id");
assert!(
handle.is_some(),
"When DYN_AUDIT_FORCE_LOGGING=true, handle should be created even with store=false"
);
},
);
}
#[test]
fn audit_record_serializes_agent_context_and_response_content() {
let record = AuditRecord {
schema_version: 1,
request_id: "req-123".to_string(),
requested_streaming: true,
model: "test-model".to_string(),
request: Some(Arc::new(create_test_request_with_agent_context())),
response: Some(Arc::new(create_test_response("final answer"))),
};
let value = serde_json::to_value(record).unwrap();
assert_eq!(
value["request"]["nvext"]["agent_context"]["session_id"],
"run-123"
);
assert_eq!(
value["request"]["nvext"]["agent_context"]["trajectory_id"],
"run-123:researcher"
);
assert_eq!(
value["response"]["choices"][0]["message"]["content"],
"final answer"
);
}
}