bamboo-engine 2026.6.4

Execution engine and orchestration for the Bamboo agent framework
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
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
150
151

use std::path::Path;
use std::sync::Arc;

use bamboo_agent_core::Session;
use crate::{
    aggregate_monthly, aggregate_weekly, DailyMetrics, ForwardEndpointMetrics,
    ForwardMetricsFilter, ForwardMetricsSummary, ForwardRequestMetrics, MetricsCollector,
    MetricsDateFilter, MetricsError, MetricsStorage, MetricsSummary, ModelMetrics, PeriodMetrics,
    SessionDetail, SessionMetrics, SessionMetricsFilter, SqliteMetricsStorage,
};
use chrono::NaiveDate;

#[derive(Clone)]
pub struct MetricsService {
    storage: Arc<SqliteMetricsStorage>,
    collector: MetricsCollector,
}

impl MetricsService {
    pub async fn new(db_path: impl AsRef<Path>) -> Result<Self, MetricsError> {
        let storage = Arc::new(SqliteMetricsStorage::new(db_path));
        storage.init().await?;

        let storage_trait: Arc<dyn MetricsStorage> = storage.clone();
        let collector = MetricsCollector::spawn(storage_trait, 90);

        Ok(Self { storage, collector })
    }

    pub async fn reconcile_startup_sessions(
        &self,
        sessions: impl IntoIterator<Item = Session>,
        active_session_ids: &[String],
    ) -> Result<(), MetricsError> {
        let awaiting_response_session_ids = sessions
            .into_iter()
            .filter(|session| {
                session.has_pending_question()
                    || session.agent_runtime_state.as_ref().is_some_and(|state| {
                        matches!(state.status, bamboo_domain::AgentStatusState::Suspended)
                    })
            })
            .map(|session| session.id)
            .collect::<Vec<_>>();

        self.storage
            .reconcile_stale_executions(active_session_ids, &awaiting_response_session_ids)
            .await
    }

    pub fn collector(&self) -> MetricsCollector {
        self.collector.clone()
    }

    pub async fn summary(
        &self,
        start_date: Option<NaiveDate>,
        end_date: Option<NaiveDate>,
    ) -> Result<MetricsSummary, MetricsError> {
        self.storage
            .summary(MetricsDateFilter {
                start_date,
                end_date,
            })
            .await
    }

    pub async fn by_model(
        &self,
        start_date: Option<NaiveDate>,
        end_date: Option<NaiveDate>,
    ) -> Result<Vec<ModelMetrics>, MetricsError> {
        self.storage
            .by_model(MetricsDateFilter {
                start_date,
                end_date,
            })
            .await
    }

    pub async fn sessions(
        &self,
        filter: SessionMetricsFilter,
    ) -> Result<Vec<SessionMetrics>, MetricsError> {
        self.storage.sessions(filter).await
    }

    pub async fn session_detail(
        &self,
        session_id: &str,
    ) -> Result<Option<SessionDetail>, MetricsError> {
        self.storage.session_detail(session_id).await
    }

    pub async fn daily(
        &self,
        days: u32,
        end_date: Option<NaiveDate>,
    ) -> Result<Vec<DailyMetrics>, MetricsError> {
        self.storage.daily_metrics(days, end_date).await
    }

    pub async fn weekly(
        &self,
        days: u32,
        end_date: Option<NaiveDate>,
    ) -> Result<Vec<PeriodMetrics>, MetricsError> {
        let daily = self.daily(days, end_date).await?;
        Ok(aggregate_weekly(&daily))
    }

    pub async fn monthly(
        &self,
        days: u32,
        end_date: Option<NaiveDate>,
    ) -> Result<Vec<PeriodMetrics>, MetricsError> {
        let daily = self.daily(days, end_date).await?;
        Ok(aggregate_monthly(&daily))
    }

    // Forward metrics methods
    pub async fn forward_summary(
        &self,
        filter: ForwardMetricsFilter,
    ) -> Result<ForwardMetricsSummary, MetricsError> {
        self.storage.forward_summary(filter).await
    }

    pub async fn forward_by_endpoint(
        &self,
        filter: ForwardMetricsFilter,
    ) -> Result<Vec<ForwardEndpointMetrics>, MetricsError> {
        self.storage.forward_by_endpoint(filter).await
    }

    pub async fn forward_requests(
        &self,
        filter: ForwardMetricsFilter,
    ) -> Result<Vec<ForwardRequestMetrics>, MetricsError> {
        self.storage.forward_requests(filter).await
    }

    pub async fn forward_daily(
        &self,
        filter: ForwardMetricsFilter,
    ) -> Result<Vec<DailyMetrics>, MetricsError> {
        self.storage
            .forward_daily_metrics(filter.limit.unwrap_or(30), filter.end_date)
            .await
    }
}