lean-ctx 3.9.10

Context Runtime for AI Agents with CCP. 71 MCP tools, 10 read modes, 95+ compression patterns, cross-session memory (CCP), persistent AI knowledge with temporal facts + contradiction detection, multi-agent context sharing, LITM-aware positioning, AAAK compact format, adaptive compression with Thompson Sampling bandits. Supports 24+ AI tools. Reduces LLM token consumption by up to 99%.
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105

//! `/api/signals` — the Live Signals panel data source (#505, #507).
//!
//! Surfaces what the closed-loop signal stores currently know: editor focus,
//! active build diagnostics, git working set, per-path bounce memory, the
//! cumulative auto-mode decision sources, and the two learning trends
//! (bounce rate, output echo). Everything here is read from disk or cheap
//! subprocess calls — the dashboard runs in its own process and must not
//! depend on MCP-server in-memory state.

use crate::dashboard::routes::helpers::detect_project_root_for_dashboard;

pub(super) fn handle(
    path: &str,
    _query_str: &str,
    _method: &str,
    _body: &str,
) -> Option<(&'static str, &'static str, String)> {
    if path != "/api/signals" {
        return None;
    }

    let now = std::time::SystemTime::now()
        .duration_since(std::time::UNIX_EPOCH)
        .map_or(0, |d| d.as_secs());

    // Editor focus (#500): fresh = within the ranking freshness window.
    let editor = {
        let raw = crate::core::editor_signal::load_raw_for_status();
        match raw {
            Some(s) if s.active_file.is_some() => {
                let age = now.saturating_sub(s.updated_at);
                serde_json::json!({
                    "active_file": s.active_file,
                    "age_secs": age,
                    "fresh": age <= crate::core::editor_signal::FRESHNESS_SECS,
                })
            }
            _ => serde_json::json!({ "active_file": null, "age_secs": null, "fresh": false }),
        }
    };

    // Active diagnostics (#499): TTL/pruning happens inside the store.
    let diagnostics = {
        let snap = crate::core::diagnostics_store::snapshot();
        let errors = snap
            .iter()
            .filter(|(_, s)| *s == crate::core::diagnostics_store::Severity::Error)
            .count();
        let warnings = snap.len() - errors;
        let mut files: Vec<&str> = snap.iter().map(|(p, _)| p.as_str()).collect();
        files.sort_unstable();
        files.dedup();
        files.truncate(8);
        serde_json::json!({ "errors": errors, "warnings": warnings, "files": files })
    };

    // Git working set (#497).
    let git = {
        let project_root = detect_project_root_for_dashboard();
        let signals = crate::core::git_signals::collect(&project_root);
        let uncommitted = signals.recency.values().filter(|v| **v >= 1.0).count();
        serde_json::json!({
            "uncommitted": uncommitted,
            "churned": signals.churn.len(),
        })
    };

    // Per-path bounce memory (#496).
    let (tracked, forced) = crate::core::path_mode_memory::disk_summary();
    let bounce_memory = serde_json::json!({
        "tracked_paths": tracked,
        "forced_full_paths": forced,
    });

    // Cumulative auto-mode decision sources (#496/#505) — flushed by the
    // MCP/CLI processes, read here from disk.
    let auto_sources: Vec<serde_json::Value> =
        crate::core::auto_mode_resolver::persisted_source_counts()
            .into_iter()
            .map(|(s, n)| serde_json::json!([s, n]))
            .collect();

    // Learning trends (#507), last 14 days.
    let bounce_trend: Vec<serde_json::Value> = crate::core::savings_ledger::daily_bounce_trend(14)
        .into_iter()
        .map(|(d, b, r)| serde_json::json!([d, b, r]))
        .collect();
    let echo_trend: Vec<serde_json::Value> = crate::core::output_echo::load_stats()
        .daily_trend(14)
        .into_iter()
        .map(|(d, ratio, n)| serde_json::json!([d, (ratio * 1000.0).round() / 1000.0, n]))
        .collect();

    let payload = serde_json::json!({
        "editor": editor,
        "diagnostics": diagnostics,
        "git": git,
        "bounce_memory": bounce_memory,
        "auto_mode_sources": auto_sources,
        "bounce_trend": bounce_trend,
        "echo_trend": echo_trend,
    });
    let json = serde_json::to_string(&payload).unwrap_or_else(|_| "{}".to_string());
    Some(("200 OK", "application/json", json))
}