llm-kernel 0.19.0

Foundation library for Rust AI-native apps — provider catalog, LLM client, MCP server, search, telemetry, and safety
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

{
  "results": [
    {
      "module": "tokens",
      "metrics": {
        "entries": 49,
        "mae": 3.9183673469387754,
        "max_error": 9.0,
        "pct_within_10pct": 28.57142857142857,
        "pct_within_3": 44.89795918367347
      },
      "passed": true
    },
    {
      "module": "safety",
      "metrics": {
        "avg_f1": 0.9839340956932661,
        "avg_precision": 0.983303518187239,
        "avg_recall": 0.98456548247769,
        "entries": 39,
        "exact_match_rate": 0.8717948717948718,
        "missed_secrets": 4
      },
      "passed": true
    },
    {
      "module": "embedding",
      "metrics": {
        "identity_accuracy": 1.0,
        "orthogonality_accuracy": 1.0,
        "range_accuracy": 1.0,
        "symmetry_accuracy": 1.0,
        "total_checks": 17,
        "total_passed": 17
      },
      "passed": true
    },
    {
      "module": "injection",
      "metrics": {
        "accuracy": 1.0,
        "benign_specificity": 1.0,
        "cases": 17,
        "injection_recall": 1.0
      },
      "passed": true
    },
    {
      "module": "search",
      "metrics": {
        "avg_mrr": 1.0,
        "avg_precision_at_5": 0.805,
        "avg_recall_at_5": 1.0,
        "entries": 10
      },
      "passed": true
    },
    {
      "module": "graph",
      "metrics": {
        "avg_f1": 0.9833333333333334,
        "avg_precision": 0.9722222222222222,
        "avg_recall": 1.0,
        "scenarios_run": 12
      },
      "passed": true
    },
    {
      "module": "graph_korean",
      "metrics": {
        "cjk_fp_rate": 0.07142857142857142,
        "cjk_precision_at_5": 0.9285714285714286,
        "cjk_recall_at_10": 1.0,
        "cjk_recall_at_5": 1.0,
        "docs": 40,
        "fp_reduction": 0.0,
        "queries": 28,
        "recall_gain_at_5": 0.7142857142857143,
        "trigram_fp_rate": 0.07142857142857142,
        "trigram_precision_at_5": 0.9285714285714286,
        "trigram_recall_at_10": 0.2857142857142857,
        "trigram_recall_at_5": 0.2857142857142857
      },
      "passed": true
    }
  ]
}