ai-dispatch 8.99.10

Multi-AI CLI team orchestrator
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
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149

// Tests for pricing override loading and merged model resolution.
// Exports: module-scoped tests only
// Deps: super::load_pricing_overrides, super::merged_agent_models, crate::paths

use std::collections::HashMap;

use super::config_display::{ModelHistory, recent_observed_models_line};
use super::{load_pricing_overrides, merged_agent_models};
use crate::paths::AidHomeGuard;
use crate::types::AgentKind;

#[test]
fn loads_and_merges_pricing_overrides() {
    let temp = tempfile::tempdir().unwrap();
    let _guard = AidHomeGuard::set(temp.path());
    std::fs::write(
        crate::paths::pricing_path(),
        r#"{
            "models": [
                {
                    "agent": "codex",
                    "model": "gpt-4.1",
                    "input_per_m": 9.0,
                    "output_per_m": 19.0,
                    "tier": "custom",
                    "description": "override",
                    "updated": "2026-03-17"
                },
                {
                    "agent": "codex",
                    "model": "new-model",
                    "input_per_m": 1.5,
                    "output_per_m": 2.5,
                    "tier": "cheap",
                    "description": "new entry",
                    "updated": "2026-03-17"
                }
            ]
        }"#,
    )
    .unwrap();

    let loaded = load_pricing_overrides().unwrap();
    assert_eq!(loaded.len(), 2);

    let merged = merged_agent_models().unwrap();
    let existing = merged
        .iter()
        .find(|model| model.agent == crate::types::AgentKind::Codex && model.model == "gpt-4.1")
        .unwrap();
    assert_eq!(existing.input_per_m, 9.0);
    assert_eq!(existing.output_per_m, 19.0);
    assert_eq!(existing.tier, "custom");

    let added = merged
        .iter()
        .find(|model| model.agent == crate::types::AgentKind::Codex && model.model == "new-model")
        .unwrap();
    assert_eq!(added.input_per_m, 1.5);
    assert_eq!(added.output_per_m, 2.5);
}

#[test]
fn merged_agent_models_include_gemini_3_catalog() {
    let merged = merged_agent_models().unwrap();
    let gemini_models: Vec<_> = merged
        .iter()
        .filter(|model| model.agent == AgentKind::Gemini)
        .map(|model| model.model.as_str())
        .collect();
    for expected in [
        "gemini-3.1-pro-preview",
        "gemini-3-flash-preview",
        "gemini-3-flash-lite-preview",
        "gemini-2.5-flash",
        "gemini-2.5-pro",
    ] {
        assert!(
            gemini_models.iter().any(|name| *name == expected),
            "missing model {expected} in {:?}",
            gemini_models
        );
    }
}

#[test]
fn recent_observed_models_line_lists_top_three_unsorted_extras_only() {
    let mut mh = HashMap::new();
    mh.insert(
        (AgentKind::Gemini, "gemini-3-flash-preview".into()),
        ModelHistory {
            task_count: 1,
            success_rate: 50.0,
            avg_cost: 0.0,
        },
    );
    mh.insert(
        (
            AgentKind::Gemini,
            "actually-observed-gemini-99".into(),
        ),
        ModelHistory {
            task_count: 7,
            success_rate: 100.0,
            avg_cost: 0.1,
        },
    );
    mh.insert(
        (
            AgentKind::Gemini,
            "actually-observed-gemini-98".into(),
        ),
        ModelHistory {
            task_count: 2,
            success_rate: 100.0,
            avg_cost: 0.1,
        },
    );
    mh.insert(
        (
            AgentKind::Gemini,
            "actually-observed-gemini-97".into(),
        ),
        ModelHistory {
            task_count: 5,
            success_rate: 100.0,
            avg_cost: 0.1,
        },
    );
    mh.insert(
        (
            AgentKind::Gemini,
            "actually-observed-fourth".into(),
        ),
        ModelHistory {
            task_count: 1,
            success_rate: 100.0,
            avg_cost: 0.0,
        },
    );

    let line = recent_observed_models_line(AgentKind::Gemini, &mh).expect("recent line present");
    assert!(line.starts_with("  Recent:    "));
    assert!(line.contains("actually-observed-gemini-99 (7)"));
    assert!(line.contains("actually-observed-gemini-97 (5)"));
    assert!(line.contains("actually-observed-gemini-98 (2)"));
    assert!(!line.contains("actually-observed-fourth"));
    assert!(!line.contains("gemini-3-flash-preview"));
}