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
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542//! Usage tracking store — records LLM usage events for cost monitoring.
use chrono::Utc;
use openfang_types::agent::AgentId;
use openfang_types::error::{OpenFangError, OpenFangResult};
use rusqlite::Connection;
use serde::{Deserialize, Serialize};
use std::sync::{Arc, Mutex};
/// A single usage event recording an LLM call.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct UsageRecord {
/// Which agent made the call.
pub agent_id: AgentId,
/// Model used.
pub model: String,
/// Input tokens consumed.
pub input_tokens: u64,
/// Output tokens consumed.
pub output_tokens: u64,
/// Estimated cost in USD.
pub cost_usd: f64,
/// Number of tool calls in this interaction.
pub tool_calls: u32,
}
/// Summary of usage over a period.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct UsageSummary {
/// Total input tokens.
pub total_input_tokens: u64,
/// Total output tokens.
pub total_output_tokens: u64,
/// Total estimated cost in USD.
pub total_cost_usd: f64,
/// Total number of calls.
pub call_count: u64,
/// Total tool calls.
pub total_tool_calls: u64,
}
/// Usage grouped by model.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ModelUsage {
/// Model name.
pub model: String,
/// Total cost for this model.
pub total_cost_usd: f64,
/// Total input tokens.
pub total_input_tokens: u64,
/// Total output tokens.
pub total_output_tokens: u64,
/// Number of calls.
pub call_count: u64,
}
/// Daily usage breakdown.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DailyBreakdown {
/// Date string (YYYY-MM-DD).
pub date: String,
/// Total cost for this day.
pub cost_usd: f64,
/// Total tokens (input + output).
pub tokens: u64,
/// Number of API calls.
pub calls: u64,
}
/// Usage store backed by SQLite.
#[derive(Clone)]
pub struct UsageStore {
conn: Arc<Mutex<Connection>>,
}
impl UsageStore {
/// Create a new usage store wrapping the given connection.
pub fn new(conn: Arc<Mutex<Connection>>) -> Self {
Self { conn }
}
/// Record a usage event.
pub fn record(&self, record: &UsageRecord) -> OpenFangResult<()> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Internal(e.to_string()))?;
let id = uuid::Uuid::new_v4().to_string();
let now = Utc::now().to_rfc3339();
conn.execute(
"INSERT INTO usage_events (id, agent_id, timestamp, model, input_tokens, output_tokens, cost_usd, tool_calls)
VALUES (?1, ?2, ?3, ?4, ?5, ?6, ?7, ?8)",
rusqlite::params![
id,
record.agent_id.0.to_string(),
now,
record.model,
record.input_tokens as i64,
record.output_tokens as i64,
record.cost_usd,
record.tool_calls as i64,
],
)
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
Ok(())
}
/// Query total cost in the last hour for an agent.
pub fn query_hourly(&self, agent_id: AgentId) -> OpenFangResult<f64> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Internal(e.to_string()))?;
let cost: f64 = conn
.query_row(
"SELECT COALESCE(SUM(cost_usd), 0.0) FROM usage_events
WHERE agent_id = ?1 AND timestamp > datetime('now', '-1 hour')",
rusqlite::params![agent_id.0.to_string()],
|row| row.get(0),
)
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
Ok(cost)
}
/// Query total cost today for an agent.
pub fn query_daily(&self, agent_id: AgentId) -> OpenFangResult<f64> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Internal(e.to_string()))?;
let cost: f64 = conn
.query_row(
"SELECT COALESCE(SUM(cost_usd), 0.0) FROM usage_events
WHERE agent_id = ?1 AND timestamp > datetime('now', 'start of day')",
rusqlite::params![agent_id.0.to_string()],
|row| row.get(0),
)
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
Ok(cost)
}
/// Query total cost in the current calendar month for an agent.
pub fn query_monthly(&self, agent_id: AgentId) -> OpenFangResult<f64> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Internal(e.to_string()))?;
let cost: f64 = conn
.query_row(
"SELECT COALESCE(SUM(cost_usd), 0.0) FROM usage_events
WHERE agent_id = ?1 AND timestamp > datetime('now', 'start of month')",
rusqlite::params![agent_id.0.to_string()],
|row| row.get(0),
)
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
Ok(cost)
}
/// Query total cost across all agents for the current hour.
pub fn query_global_hourly(&self) -> OpenFangResult<f64> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Internal(e.to_string()))?;
let cost: f64 = conn
.query_row(
"SELECT COALESCE(SUM(cost_usd), 0.0) FROM usage_events
WHERE timestamp > datetime('now', '-1 hour')",
[],
|row| row.get(0),
)
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
Ok(cost)
}
/// Query total cost across all agents for the current calendar month.
pub fn query_global_monthly(&self) -> OpenFangResult<f64> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Internal(e.to_string()))?;
let cost: f64 = conn
.query_row(
"SELECT COALESCE(SUM(cost_usd), 0.0) FROM usage_events
WHERE timestamp > datetime('now', 'start of month')",
[],
|row| row.get(0),
)
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
Ok(cost)
}
/// Query usage summary, optionally filtered by agent.
pub fn query_summary(&self, agent_id: Option<AgentId>) -> OpenFangResult<UsageSummary> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Internal(e.to_string()))?;
let (sql, params): (&str, Vec<Box<dyn rusqlite::types::ToSql>>) = match agent_id {
Some(aid) => (
"SELECT COALESCE(SUM(input_tokens), 0), COALESCE(SUM(output_tokens), 0),
COALESCE(SUM(cost_usd), 0.0), COUNT(*), COALESCE(SUM(tool_calls), 0)
FROM usage_events WHERE agent_id = ?1",
vec![Box::new(aid.0.to_string())],
),
None => (
"SELECT COALESCE(SUM(input_tokens), 0), COALESCE(SUM(output_tokens), 0),
COALESCE(SUM(cost_usd), 0.0), COUNT(*), COALESCE(SUM(tool_calls), 0)
FROM usage_events",
vec![],
),
};
let params_refs: Vec<&dyn rusqlite::types::ToSql> =
params.iter().map(|p| p.as_ref()).collect();
let summary = conn
.query_row(sql, params_refs.as_slice(), |row| {
Ok(UsageSummary {
total_input_tokens: row.get::<_, i64>(0)? as u64,
total_output_tokens: row.get::<_, i64>(1)? as u64,
total_cost_usd: row.get(2)?,
call_count: row.get::<_, i64>(3)? as u64,
total_tool_calls: row.get::<_, i64>(4)? as u64,
})
})
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
Ok(summary)
}
/// Query usage grouped by model.
pub fn query_by_model(&self) -> OpenFangResult<Vec<ModelUsage>> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Internal(e.to_string()))?;
let mut stmt = conn
.prepare(
"SELECT model, COALESCE(SUM(cost_usd), 0.0), COALESCE(SUM(input_tokens), 0),
COALESCE(SUM(output_tokens), 0), COUNT(*)
FROM usage_events GROUP BY model ORDER BY SUM(cost_usd) DESC",
)
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
let rows = stmt
.query_map([], |row| {
Ok(ModelUsage {
model: row.get(0)?,
total_cost_usd: row.get(1)?,
total_input_tokens: row.get::<_, i64>(2)? as u64,
total_output_tokens: row.get::<_, i64>(3)? as u64,
call_count: row.get::<_, i64>(4)? as u64,
})
})
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
let mut results = Vec::new();
for row in rows {
results.push(row.map_err(|e| OpenFangError::Memory(e.to_string()))?);
}
Ok(results)
}
/// Query daily usage breakdown for the last N days.
pub fn query_daily_breakdown(&self, days: u32) -> OpenFangResult<Vec<DailyBreakdown>> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Internal(e.to_string()))?;
let mut stmt = conn
.prepare(&format!(
"SELECT date(timestamp) as day,
COALESCE(SUM(cost_usd), 0.0),
COALESCE(SUM(input_tokens) + SUM(output_tokens), 0),
COUNT(*)
FROM usage_events
WHERE timestamp > datetime('now', '-{days} days')
GROUP BY day
ORDER BY day ASC"
))
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
let rows = stmt
.query_map([], |row| {
Ok(DailyBreakdown {
date: row.get(0)?,
cost_usd: row.get(1)?,
tokens: row.get::<_, i64>(2)? as u64,
calls: row.get::<_, i64>(3)? as u64,
})
})
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
let mut results = Vec::new();
for row in rows {
results.push(row.map_err(|e| OpenFangError::Memory(e.to_string()))?);
}
Ok(results)
}
/// Query the timestamp of the earliest usage event.
pub fn query_first_event_date(&self) -> OpenFangResult<Option<String>> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Internal(e.to_string()))?;
let result: Option<String> = conn
.query_row("SELECT MIN(timestamp) FROM usage_events", [], |row| {
row.get(0)
})
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
Ok(result)
}
/// Query today's total cost across all agents.
pub fn query_today_cost(&self) -> OpenFangResult<f64> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Internal(e.to_string()))?;
let cost: f64 = conn
.query_row(
"SELECT COALESCE(SUM(cost_usd), 0.0) FROM usage_events
WHERE timestamp > datetime('now', 'start of day')",
[],
|row| row.get(0),
)
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
Ok(cost)
}
/// Delete usage events older than the given number of days.
pub fn cleanup_old(&self, days: u32) -> OpenFangResult<usize> {
let conn = self
.conn
.lock()
.map_err(|e| OpenFangError::Internal(e.to_string()))?;
let deleted = conn
.execute(
&format!(
"DELETE FROM usage_events WHERE timestamp < datetime('now', '-{days} days')"
),
[],
)
.map_err(|e| OpenFangError::Memory(e.to_string()))?;
Ok(deleted)
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::migration::run_migrations;
fn setup() -> UsageStore {
let conn = Connection::open_in_memory().unwrap();
run_migrations(&conn).unwrap();
UsageStore::new(Arc::new(Mutex::new(conn)))
}
#[test]
fn test_record_and_query_summary() {
let store = setup();
let agent_id = AgentId::new();
store
.record(&UsageRecord {
agent_id,
model: "claude-haiku".to_string(),
input_tokens: 100,
output_tokens: 50,
cost_usd: 0.001,
tool_calls: 2,
})
.unwrap();
store
.record(&UsageRecord {
agent_id,
model: "claude-sonnet".to_string(),
input_tokens: 500,
output_tokens: 200,
cost_usd: 0.01,
tool_calls: 1,
})
.unwrap();
let summary = store.query_summary(Some(agent_id)).unwrap();
assert_eq!(summary.call_count, 2);
assert_eq!(summary.total_input_tokens, 600);
assert_eq!(summary.total_output_tokens, 250);
assert!((summary.total_cost_usd - 0.011).abs() < 0.0001);
assert_eq!(summary.total_tool_calls, 3);
}
#[test]
fn test_query_summary_all_agents() {
let store = setup();
let a1 = AgentId::new();
let a2 = AgentId::new();
store
.record(&UsageRecord {
agent_id: a1,
model: "haiku".to_string(),
input_tokens: 100,
output_tokens: 50,
cost_usd: 0.001,
tool_calls: 0,
})
.unwrap();
store
.record(&UsageRecord {
agent_id: a2,
model: "sonnet".to_string(),
input_tokens: 200,
output_tokens: 100,
cost_usd: 0.005,
tool_calls: 1,
})
.unwrap();
let summary = store.query_summary(None).unwrap();
assert_eq!(summary.call_count, 2);
assert_eq!(summary.total_input_tokens, 300);
}
#[test]
fn test_query_by_model() {
let store = setup();
let agent_id = AgentId::new();
for _ in 0..3 {
store
.record(&UsageRecord {
agent_id,
model: "haiku".to_string(),
input_tokens: 100,
output_tokens: 50,
cost_usd: 0.001,
tool_calls: 0,
})
.unwrap();
}
store
.record(&UsageRecord {
agent_id,
model: "sonnet".to_string(),
input_tokens: 500,
output_tokens: 200,
cost_usd: 0.01,
tool_calls: 1,
})
.unwrap();
let by_model = store.query_by_model().unwrap();
assert_eq!(by_model.len(), 2);
// sonnet should be first (highest cost)
assert_eq!(by_model[0].model, "sonnet");
assert_eq!(by_model[1].model, "haiku");
assert_eq!(by_model[1].call_count, 3);
}
#[test]
fn test_query_hourly() {
let store = setup();
let agent_id = AgentId::new();
store
.record(&UsageRecord {
agent_id,
model: "haiku".to_string(),
input_tokens: 100,
output_tokens: 50,
cost_usd: 0.05,
tool_calls: 0,
})
.unwrap();
let hourly = store.query_hourly(agent_id).unwrap();
assert!((hourly - 0.05).abs() < 0.001);
}
#[test]
fn test_query_daily() {
let store = setup();
let agent_id = AgentId::new();
store
.record(&UsageRecord {
agent_id,
model: "haiku".to_string(),
input_tokens: 100,
output_tokens: 50,
cost_usd: 0.123,
tool_calls: 0,
})
.unwrap();
let daily = store.query_daily(agent_id).unwrap();
assert!((daily - 0.123).abs() < 0.001);
}
#[test]
fn test_cleanup_old() {
let store = setup();
let agent_id = AgentId::new();
store
.record(&UsageRecord {
agent_id,
model: "haiku".to_string(),
input_tokens: 100,
output_tokens: 50,
cost_usd: 0.001,
tool_calls: 0,
})
.unwrap();
// Cleanup events older than 1 day should not remove today's events
let deleted = store.cleanup_old(1).unwrap();
assert_eq!(deleted, 0);
let summary = store.query_summary(None).unwrap();
assert_eq!(summary.call_count, 1);
}
#[test]
fn test_empty_summary() {
let store = setup();
let summary = store.query_summary(None).unwrap();
assert_eq!(summary.call_count, 0);
assert_eq!(summary.total_cost_usd, 0.0);
}
}