qualia_client_core/engine/
llm_offload.rs

1use serde::{Deserialize, Serialize};
2
3use rtrb::RingBuffer;
4use std::thread;
5use std::time::Duration;
6
7#[derive(Serialize, Deserialize, Clone, Debug)]
8pub struct ModelInfo {
9    pub name: String,
10    pub is_active: bool,
11    pub avatar_type: String,
12}
13
14#[derive(Serialize, Deserialize, Clone, Debug)]
15pub struct InferenceTelemetry {
16    pub token_rate: f64,
17    pub vram_usage: String,
18    pub active_q42_context: String,
19}
20
21pub async fn discover_local_models() -> Result<Vec<ModelInfo>, String> {
22    Ok(vec![
23        ModelInfo {
24            name: "phi3:mini (Q4_K_M)".to_string(),
25            is_active: true,
26            avatar_type: "phi".to_string(),
27        },
28        ModelInfo {
29            name: "llama3:8b (Q5_K_M)".to_string(),
30            is_active: false,
31            avatar_type: "llama".to_string(),
32        },
33    ])
34}
35
36// -----------------------------------------------------------------------------
37// Phase 8: Bifurcated Compute - SPSC Wait-Free Intercept
38// -----------------------------------------------------------------------------
39// We use `rtrb` (Real-Time Ring Buffer) to establish a true zero-allocation,
40// wait-free communication bridge between the LLM Engine and the Webizen Sentinel.
41
42#[derive(Clone, Debug)]
43pub enum VectorOp {
44    TokenBytes([u8; 16]), // Simulated 128-bit vector embedding
45    EndOfStream,
46}
47
48#[derive(Clone, Debug)]
49pub enum WebizenOp {
50    Ack,
51    DenyRollback,
52}
53
54pub async fn execute_agent_inference(
55    _prompt: String,
56    _model_name: String,
57    intent_layout: Vec<f64>,
58) -> Result<(), String> {
59    let temporal_end = intent_layout.get(1).copied().unwrap_or(2050.0);
60
61    // 1. Establish the Dual SPSC Wait-Free Ring Buffers
62    // Logit Stream: LLM -> Sentinel (Vector topology)
63    let (mut logit_p, mut logit_c) = RingBuffer::<VectorOp>::new(1024);
64
65    // Control Stream: Sentinel -> LLM (Rollback commands)
66    let (mut control_p, mut control_c) = RingBuffer::<WebizenOp>::new(16);
67
68    // 2. Isolate A: Webizen Sentinel Thread (Audits the vector stream natively)
69    thread::spawn(move || {
70        loop {
71            // Wait-free read attempt
72            if let Ok(vector_op) = logit_c.pop() {
73                match vector_op {
74                    VectorOp::EndOfStream => break,
75                    VectorOp::TokenBytes(bytes) => {
76                        // Phase 8: Sentinel detects a mathematical/temporal anomaly natively in the bytes!
77                        // 0x99 is our mocked "anachronistic token" signature.
78                        if temporal_end <= 1930.0 && bytes[0] == 0x99 {
79                            // Inject zero-allocation wait-free rollback signal instantly!
80                            let _ = control_p.push(WebizenOp::DenyRollback);
81                            // let _ = app_clone.emit_all("webizen-intercept", ());
82                            // let _ = app_clone.emit_all("llm-token", "[WEBIZEN DENY]");
83                        }
84                    }
85                }
86            }
87        }
88    });
89
90    // 3. Isolate B: LLM Engine Thread (Generates tokens)
91    thread::spawn(move || {
92        // let _ = app.emit_all("llm-token", "⚡ [Webizen Verified] Wait-free SPSC channel established.\\n\\n");
93
94        let output_text = "The rapid development of modern infrastructure... Wait, the internet did not exist in 1930.";
95        let words: Vec<&str> = output_text.split_whitespace().collect();
96
97        for word in words {
98            // Check Control Stream for wait-free intercepts from the Sentinel
99            if let Ok(WebizenOp::DenyRollback) = control_c.pop() {
100                // LLM Engine handles the rollback immediately without OS locks
101                thread::sleep(Duration::from_millis(50));
102                // let _ = app.emit_all("llm-token", "[recalculated deterministic tensor] ");
103                continue;
104            }
105
106            // Generate Logit (Mocking specific words as anomalous signatures)
107            let mut vector = [0u8; 16];
108            if word.contains("internet") || word.contains("modern") {
109                vector[0] = 0x99; // Anomaly signature
110            } else {
111                vector[0] = 0x01; // Safe signature
112            }
113
114            // Push vector down the Logit Stream
115            let _ = logit_p.push(VectorOp::TokenBytes(vector));
116
117            // let _ = app.emit_all("llm-token", format!("{} ", word));
118            thread::sleep(Duration::from_millis(40)); // Simulating inference latency
119        }
120
121        let _ = logit_p.push(VectorOp::EndOfStream);
122
123        let _telemetry = InferenceTelemetry {
124            token_rate: 28.4,
125            vram_usage: "8.42 MB".to_string(),
126            active_q42_context: "Deterministic IEEE-754 Bounds".to_string(),
127        };
128        // let _ = app.emit_all("llm-telemetry", telemetry);
129    });
130
131    Ok(())
132}
qualia_client_core/engine/llm_offload.rs

qualia_client_core/engine/
llm_offload.rs
