harness-rs-loop 0.0.22

ReAct agent loop, subagent isolation, and session record/replay (JSONL) for the harness-rs 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
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
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
//! End-to-end AgentLoop tests with `MockModel`. These verify the framework
//! integrates correctly without depending on any LLM service.

use harness_context::default_world;
use harness_core::{
    Action, Block, Context, Event, Execution, GuideId, GuideScope, HookOutcome, SensorId, Severity,
    Signal, Skill, Stage, Task, World,
};
use harness_loop::{AgentLoop, Outcome};
use harness_models::{MockModel, MockResponse};
use harness_tools_fs::{ReadFile, WriteFile};
use serde_json::json;
use std::path::PathBuf;
use std::sync::atomic::{AtomicU32, AtomicU64, Ordering};
use std::sync::{Arc, Mutex};

// ============================================================
// shared test fixtures
// ============================================================

fn tmp_workspace() -> (TestDir, World) {
    let td = TestDir::new();
    let world = default_world(td.0.clone());
    (td, world)
}

struct TestDir(PathBuf);
static TD_SEQ: AtomicU64 = AtomicU64::new(0);
impl TestDir {
    fn new() -> Self {
        let pid = std::process::id();
        let n = TD_SEQ.fetch_add(1, Ordering::SeqCst);
        let nanos = std::time::SystemTime::now()
            .duration_since(std::time::UNIX_EPOCH)
            .unwrap()
            .as_nanos();
        let p = std::env::temp_dir().join(format!("harness-loop-test-{pid}-{nanos}-{n}"));
        std::fs::create_dir_all(&p).unwrap();
        TestDir(p)
    }
}
impl Drop for TestDir {
    fn drop(&mut self) {
        let _ = std::fs::remove_dir_all(&self.0);
    }
}

fn task(desc: &str) -> Task {
    Task {
        description: desc.into(),
        source: None,
        deadline: None,
    }
}

// ============================================================
// 1. Text-only response terminates the loop
// ============================================================

#[tokio::test]
async fn text_only_response_returns_done_immediately() {
    let (_td, mut world) = tmp_workspace();
    let model = MockModel::new().script(MockResponse::text("hello"));
    let outcome = AgentLoop::new(model)
        .run_with_max_iters(task("say hi"), &mut world, 5)
        .await
        .unwrap();
    match outcome {
        Outcome::Done { text, iters, .. } => {
            assert_eq!(text.as_deref(), Some("hello"));
            assert_eq!(iters, 1);
        }
        other => panic!("expected Done, got {other:?}"),
    }
}

// ============================================================
// 2. Tool call → result → followup text completes loop
// ============================================================

#[tokio::test]
async fn tool_call_then_text_takes_two_iters() {
    let (_td, mut world) = tmp_workspace();
    std::fs::write(world.repo.root.join("greeting.txt"), "hi there\n").unwrap();

    let model = MockModel::new()
        .script(MockResponse::tool_call(
            "read_file",
            json!({"path": "greeting.txt"}),
        ))
        .script(MockResponse::text("file says hi there"));

    let outcome = AgentLoop::new(model)
        .with_tool(Arc::new(ReadFile))
        .run_with_max_iters(task("read it"), &mut world, 5)
        .await
        .unwrap();

    match outcome {
        Outcome::Done { text, iters, .. } => {
            assert_eq!(iters, 2);
            assert!(text.as_deref().unwrap_or("").contains("hi there"));
        }
        other => panic!("expected Done, got {other:?}"),
    }
}

// ============================================================
// 3. Tool call result reaches the model's NEXT call
// ============================================================

#[tokio::test]
async fn tool_result_visible_to_model_next_iter() {
    let (_td, mut world) = tmp_workspace();
    std::fs::write(world.repo.root.join("data.txt"), "abc\n").unwrap();

    let model = Arc::new(
        MockModel::new()
            .script(MockResponse::tool_call(
                "read_file",
                json!({"path": "data.txt"}),
            ))
            .script(MockResponse::text("done")),
    );
    let model_ref = model.clone();

    // Wrap Arc in a transparent Model impl so AgentLoop can own it but we keep a handle.
    struct Shared(Arc<MockModel>);
    #[async_trait::async_trait]
    impl harness_core::Model for Shared {
        async fn complete(
            &self,
            ctx: &Context,
        ) -> Result<harness_core::ModelOutput, harness_core::ModelError> {
            self.0.complete(ctx).await
        }
        fn info(&self) -> harness_core::ModelInfo {
            self.0.info()
        }
    }

    AgentLoop::new(Shared(model_ref.clone()))
        .with_tool(Arc::new(ReadFile))
        .run_with_max_iters(task("read"), &mut world, 5)
        .await
        .unwrap();

    let calls = model_ref.calls();
    assert_eq!(calls.len(), 2, "model should have been called twice");

    // First call: history has only the user task.
    assert_eq!(calls[0].history_summary.len(), 1);
    assert_eq!(calls[0].history_summary[0].role, "user");

    // Second call: history must include the tool-result.
    let second = &calls[1];
    let has_tool_result = second
        .history_summary
        .iter()
        .any(|h| h.role == "tool" && h.kinds.contains(&"tool-result"));
    assert!(
        has_tool_result,
        "tool result missing from second-call history: {:#?}",
        second.history_summary
    );
}

// ============================================================
// 4. PreToolUse hook Deny short-circuits the tool
// ============================================================

#[tokio::test]
async fn pre_tool_use_deny_blocks_dispatch() {
    let (_td, mut world) = tmp_workspace();
    std::fs::write(world.repo.root.join("secret.txt"), "PASSWORD\n").unwrap();

    struct DenyReadFile {
        denials: Arc<AtomicU32>,
    }
    impl harness_core::Hook for DenyReadFile {
        fn name(&self) -> &str {
            "deny-read-file"
        }
        fn matches(&self, ev: &Event<'_>) -> bool {
            matches!(ev, Event::PreToolUse { action } if action.tool == "read_file")
        }
        fn fire(&self, _ev: &Event<'_>, _w: &mut World) -> HookOutcome {
            self.denials.fetch_add(1, Ordering::SeqCst);
            HookOutcome::Deny {
                reason: "no secrets".into(),
            }
        }
    }

    let denials = Arc::new(AtomicU32::new(0));
    let model = MockModel::new()
        .script(MockResponse::tool_call(
            "read_file",
            json!({"path": "secret.txt"}),
        ))
        .script(MockResponse::text("nothing read"));

    AgentLoop::new(model)
        .with_tool(Arc::new(ReadFile))
        .with_hook(Arc::new(DenyReadFile {
            denials: denials.clone(),
        }))
        .run_with_max_iters(task("try to read"), &mut world, 5)
        .await
        .unwrap();

    assert_eq!(denials.load(Ordering::SeqCst), 1);
}

// ============================================================
// 5. Sensor signals reach the model's next call
// ============================================================

#[tokio::test]
async fn sensor_signals_feed_back_to_model() {
    let (_td, mut world) = tmp_workspace();

    /// Sensor that always returns one blocking signal.
    struct AlwaysComplain {
        id: SensorId,
    }
    #[async_trait::async_trait]
    impl harness_core::Sensor for AlwaysComplain {
        fn id(&self) -> &SensorId {
            &self.id
        }
        fn kind(&self) -> Execution {
            Execution::Computational
        }
        fn stage(&self) -> Stage {
            Stage::SelfCorrect
        }
        async fn observe(
            &self,
            _: &Action,
            _: &World,
        ) -> Result<Vec<Signal>, harness_core::SensorError> {
            Ok(vec![Signal {
                severity: Severity::Block,
                origin: "always-complain".into(),
                message: "this is bad".into(),
                agent_hint: Some("undo it".into()),
                auto_fix: None,
                location: None,
            }])
        }
    }

    let model = Arc::new(
        MockModel::new()
            .script(MockResponse::tool_call(
                "write_file",
                json!({"path": "x.txt", "content": "bad"}),
            ))
            .script(MockResponse::text("acknowledged feedback")),
    );
    let model_ref = model.clone();

    struct Shared(Arc<MockModel>);
    #[async_trait::async_trait]
    impl harness_core::Model for Shared {
        async fn complete(
            &self,
            ctx: &Context,
        ) -> Result<harness_core::ModelOutput, harness_core::ModelError> {
            self.0.complete(ctx).await
        }
        fn info(&self) -> harness_core::ModelInfo {
            self.0.info()
        }
    }

    AgentLoop::new(Shared(model.clone()))
        .with_tool(Arc::new(WriteFile))
        .with_sensor(Arc::new(AlwaysComplain {
            id: "always-complain".into(),
        }))
        .run_with_max_iters(task("write bad file"), &mut world, 5)
        .await
        .unwrap();

    let calls = model_ref.calls();
    assert_eq!(calls.len(), 2);
    let feedback_seen = calls[1]
        .history_summary
        .iter()
        .any(|h| h.kinds.contains(&"feedback"));
    assert!(
        feedback_seen,
        "sensor feedback missing from second-call history: {:#?}",
        calls[1].history_summary
    );
}

// ============================================================
// 6. Guide injects content before the first model call
// ============================================================

#[tokio::test]
async fn guide_applies_before_first_model_call() {
    let (_td, mut world) = tmp_workspace();

    struct InjectGuide {
        id: GuideId,
        scope: GuideScope,
    }
    #[async_trait::async_trait]
    impl harness_core::Guide for InjectGuide {
        fn id(&self) -> &GuideId {
            &self.id
        }
        fn kind(&self) -> Execution {
            Execution::Inferential
        }
        fn scope(&self) -> &GuideScope {
            &self.scope
        }
        async fn apply(
            &self,
            ctx: &mut Context,
            _w: &World,
        ) -> Result<(), harness_core::GuideError> {
            ctx.guides.push(Block::Text("INJECTED-BY-GUIDE".into()));
            Ok(())
        }
    }

    let model = Arc::new(MockModel::new().script(MockResponse::text("ok")));
    let model_ref = model.clone();
    struct Shared(Arc<MockModel>);
    #[async_trait::async_trait]
    impl harness_core::Model for Shared {
        async fn complete(
            &self,
            ctx: &Context,
        ) -> Result<harness_core::ModelOutput, harness_core::ModelError> {
            // We can verify directly here that guide content is on `ctx`.
            let injected = ctx
                .guides
                .iter()
                .any(|b| matches!(b, Block::Text(t) if t == "INJECTED-BY-GUIDE"));
            assert!(
                injected,
                "guide content missing from ctx.guides at model.complete()"
            );
            self.0.complete(ctx).await
        }
        fn info(&self) -> harness_core::ModelInfo {
            self.0.info()
        }
    }

    AgentLoop::new(Shared(model.clone()))
        .with_guide(Arc::new(InjectGuide {
            id: "test-guide".into(),
            scope: GuideScope::Always,
        }))
        .run_with_max_iters(task("anything"), &mut world, 3)
        .await
        .unwrap();
    assert_eq!(model_ref.call_count(), 1);
}

// ============================================================
// 7. Budget-exhausted outcome when the model keeps calling tools
// ============================================================

#[tokio::test]
async fn budget_exhausted_when_model_loops_on_tool_calls() {
    let (_td, mut world) = tmp_workspace();
    std::fs::write(world.repo.root.join("a.txt"), "x").unwrap();

    let mut model = MockModel::new();
    // 10 identical tool calls, never returns text
    for _ in 0..10 {
        model = model.script(MockResponse::tool_call(
            "read_file",
            json!({"path": "a.txt"}),
        ));
    }

    let outcome = AgentLoop::new(model)
        .with_tool(Arc::new(ReadFile))
        .run_with_max_iters(task("loop forever"), &mut world, 3)
        .await
        .unwrap();
    assert!(matches!(outcome, Outcome::BudgetExhausted { iters: 3, .. }));
}

// ============================================================
// 7b. Forced final-synthesis: when the model would otherwise burn the
//     budget without ever emitting text, the loop makes ONE extra
//     tool-less call so the caller gets a written conclusion in
//     `BudgetExhausted::last_text`.
// ============================================================

#[tokio::test]
async fn budget_exhausted_forces_final_synthesis_into_last_text() {
    let (_td, mut world) = tmp_workspace();
    std::fs::write(world.repo.root.join("a.txt"), "x").unwrap();

    // Hook that counts BudgetWarning events with their ratio. The forced
    // synthesis pass MUST fire this exactly once with ratio == 1.0, otherwise
    // downstream observers (LiveProgressHook, SessionRecorder, OtelHook)
    // wouldn't be able to label the synthesis pass.
    struct BudgetWarnings(Arc<Mutex<Vec<f32>>>);
    impl harness_core::Hook for BudgetWarnings {
        fn name(&self) -> &str {
            "test-budget-warnings"
        }
        fn matches(&self, ev: &Event<'_>) -> bool {
            matches!(ev, Event::BudgetWarning { .. })
        }
        fn fire(&self, ev: &Event<'_>, _w: &mut World) -> HookOutcome {
            if let Event::BudgetWarning { ratio } = ev {
                self.0.lock().unwrap().push(*ratio);
            }
            HookOutcome::Allow
        }
    }
    let warnings = Arc::new(Mutex::new(Vec::<f32>::new()));

    let mut model = MockModel::new();
    // 3 tool calls → fills the iteration budget (max_iters = 3)
    for _ in 0..3 {
        model = model.script(MockResponse::tool_call(
            "read_file",
            json!({"path": "a.txt"}),
        ));
    }
    // The synthesis call (4th model invocation) gets a text response.
    model = model.script(MockResponse::text("best-effort conclusion: file said 'x'"));

    let outcome = AgentLoop::new(model)
        .with_tool(Arc::new(ReadFile))
        .with_hook(Arc::new(BudgetWarnings(warnings.clone())))
        .run_with_max_iters(task("force synthesis"), &mut world, 3)
        .await
        .unwrap();

    match outcome {
        Outcome::BudgetExhausted {
            iters,
            last_text,
            tools_called,
            ..
        } => {
            assert_eq!(iters, 3);
            assert_eq!(tools_called, 3);
            assert_eq!(
                last_text.as_deref(),
                Some("best-effort conclusion: file said 'x'"),
                "the synthesis call's text must land in last_text",
            );
        }
        other => panic!("expected BudgetExhausted, got {other:?}"),
    }

    let ws = warnings.lock().unwrap().clone();
    assert_eq!(
        ws,
        vec![1.0_f32],
        "BudgetWarning(ratio=1.0) must fire exactly once before forced synthesis"
    );
}

// ============================================================
// 8. Auto-fix patch (ReplaceFile) is actually applied
// ============================================================

#[tokio::test]
async fn auto_fix_replace_file_writes_to_disk() {
    let (_td, mut world) = tmp_workspace();
    std::fs::write(world.repo.root.join("target.txt"), "old\n").unwrap();

    struct PatchingSensor;
    #[async_trait::async_trait]
    impl harness_core::Sensor for PatchingSensor {
        fn id(&self) -> &SensorId {
            static ID: once_cell::sync::Lazy<SensorId> =
                once_cell::sync::Lazy::new(|| "patcher".into());
            &ID
        }
        fn kind(&self) -> Execution {
            Execution::Computational
        }
        fn stage(&self) -> Stage {
            Stage::SelfCorrect
        }
        async fn observe(
            &self,
            _a: &Action,
            _w: &World,
        ) -> Result<Vec<Signal>, harness_core::SensorError> {
            Ok(vec![Signal {
                severity: Severity::Hint,
                origin: "patcher".into(),
                message: "applying fix".into(),
                agent_hint: None,
                auto_fix: Some(harness_core::FixPatch::ReplaceFile {
                    path: "target.txt".into(),
                    content: "NEW CONTENT\n".into(),
                }),
                location: None,
            }])
        }
    }

    let model = MockModel::new()
        .script(MockResponse::tool_call(
            "write_file",
            json!({"path": "noop.txt", "content": "noop"}),
        ))
        .script(MockResponse::text("done"));

    let root_for_check = world.repo.root.clone();
    AgentLoop::new(model)
        .with_tool(Arc::new(WriteFile))
        .with_sensor(Arc::new(PatchingSensor))
        .run_with_max_iters(task("trigger sensor"), &mut world, 5)
        .await
        .unwrap();

    let contents = std::fs::read_to_string(root_for_check.join("target.txt")).unwrap();
    assert_eq!(contents, "NEW CONTENT\n");
}

// ============================================================
// 9. Compaction fires when budget is exceeded
// ============================================================

#[tokio::test]
async fn compaction_runs_at_top_of_iter_when_over_budget() {
    let (_td, mut world) = tmp_workspace();

    /// Compactor that records every stage it was asked to run.
    struct RecordingCompactor {
        triggered: Mutex<Vec<harness_core::CompactionStage>>,
    }
    #[async_trait::async_trait]
    impl harness_core::Compactor for RecordingCompactor {
        fn budget(&self, _ctx: &Context) -> harness_core::Budget {
            // Always report 99% to force every stage to fire.
            harness_core::Budget {
                used: 99,
                window: 100,
            }
        }
        async fn compact(
            &self,
            stage: harness_core::CompactionStage,
            _ctx: &mut Context,
        ) -> Result<(), harness_core::CompactError> {
            self.triggered.lock().unwrap().push(stage);
            Ok(())
        }
    }

    let recorder = Arc::new(RecordingCompactor {
        triggered: Mutex::new(Vec::new()),
    });
    let model = MockModel::new().script(MockResponse::text("done"));

    AgentLoop::new(model)
        .with_compactor(recorder.clone())
        .run_with_max_iters(task("anything"), &mut world, 3)
        .await
        .unwrap();

    let stages = recorder.triggered.lock().unwrap().clone();
    assert_eq!(stages.len(), 5, "expected all 5 stages at 99% budget");
    use harness_core::CompactionStage::*;
    assert_eq!(
        stages,
        vec![
            BudgetReduce,
            Snip,
            Microcompact,
            ContextCollapse,
            AutoCompact
        ]
    );
}

// ============================================================
// 10. activate_skill — model decides which skill to load (manual flow)
// ============================================================
//
// (We don't have a built-in activate_skill tool yet, but exercise the
// SkillRegistry catalogue rendering since that's the surface the model would
// use to decide.)

#[tokio::test]
async fn skill_registry_catalogue_is_readable_at_session_start() {
    use harness_core::SkillManifest;
    use harness_skills::SkillRegistry;
    use std::borrow::Cow;
    use std::collections::BTreeMap;

    struct DummySkill(SkillManifest);
    impl Skill for DummySkill {
        fn manifest(&self) -> &SkillManifest {
            &self.0
        }
        fn body(&self) -> Cow<'_, str> {
            Cow::Borrowed("body")
        }
    }

    let mut reg = SkillRegistry::new();
    reg.insert(Arc::new(DummySkill(SkillManifest {
        name: "alpha".into(),
        description: "first skill".into(),
        license: None,
        compatibility: None,
        metadata: BTreeMap::new(),
        allowed_tools: None,
    })))
    .unwrap();
    reg.insert(Arc::new(DummySkill(SkillManifest {
        name: "beta".into(),
        description: "second skill".into(),
        license: None,
        compatibility: None,
        metadata: BTreeMap::new(),
        allowed_tools: None,
    })))
    .unwrap();

    let cat = reg.catalogue();
    assert!(cat.contains("- alpha:"));
    assert!(cat.contains("- beta:"));
    let pos_a = cat.find("- alpha:").unwrap();
    let pos_b = cat.find("- beta:").unwrap();
    assert!(pos_a < pos_b, "catalogue should be alphabetical");
}

// ============================================================
// 10. Long-term memory round-trip: session A writes a fact, session B
//     recalls it via MemoryGuide and the model sees it in ctx.guides on
//     its very first PreModel call.
// ============================================================

#[tokio::test]
async fn long_term_memory_round_trips_across_sessions() {
    use harness_context::FileMemory;
    use harness_core::Memory;
    use harness_loop::{MemoryGuide, MemoryWriter};

    let (_td, _) = tmp_workspace();
    let mem_path = std::env::temp_dir().join(format!(
        "harness-mem-rt-{}-{}.jsonl",
        std::process::id(),
        TD_SEQ.fetch_add(1, Ordering::SeqCst)
    ));
    // Clean slate.
    let _ = std::fs::remove_file(&mem_path);
    let mem: Arc<dyn Memory> = Arc::new(FileMemory::open(&mem_path).unwrap());

    // ─── Session A: produce an answer and let MemoryWriter persist it ───
    let model_a = MockModel::new().script(MockResponse::text(
        "User prefers dark roast coffee, no sugar.",
    ));
    let mut world_a = default_world(std::env::temp_dir());
    let outcome_a = AgentLoop::new(model_a)
        .with_hook(Arc::new(MemoryWriter::new(mem.clone()).with_source("test")))
        .run_with_max_iters(task("what does the user like?"), &mut world_a, 3)
        .await
        .unwrap();
    assert!(matches!(outcome_a, Outcome::Done { .. }));

    // The writer spawns; give it a tick to land on disk before reading.
    for _ in 0..20 {
        if !mem.recall("coffee", 5).await.unwrap().is_empty() {
            break;
        }
        tokio::time::sleep(std::time::Duration::from_millis(10)).await;
    }
    let recalled = mem.recall("coffee", 5).await.unwrap();
    assert_eq!(recalled.len(), 1, "session A's answer should be on disk");

    // ─── Session B: spy on PreModel ctx, ensure MemoryGuide injected ────
    let seen_ctx_guides: Arc<Mutex<Vec<String>>> = Arc::new(Mutex::new(Vec::new()));
    struct GuideSnap(Arc<Mutex<Vec<String>>>);
    impl harness_core::Hook for GuideSnap {
        fn name(&self) -> &str {
            "guide-snap"
        }
        fn matches(&self, ev: &Event<'_>) -> bool {
            matches!(ev, Event::PreModel { .. })
        }
        fn fire(&self, ev: &Event<'_>, _w: &mut World) -> HookOutcome {
            if let Event::PreModel { ctx } = ev {
                let snap = ctx
                    .guides
                    .iter()
                    .filter_map(|b| match b {
                        harness_core::Block::Text(t) => Some(t.clone()),
                        _ => None,
                    })
                    .collect::<Vec<_>>()
                    .join("\n");
                self.0.lock().unwrap().push(snap);
            }
            HookOutcome::Allow
        }
    }

    let model_b = MockModel::new().script(MockResponse::text("ok"));
    let mut world_b = default_world(std::env::temp_dir());
    let _ = AgentLoop::new(model_b)
        .with_guide(Arc::new(MemoryGuide::new(mem.clone()).with_top_k(5)))
        .with_hook(Arc::new(GuideSnap(seen_ctx_guides.clone())))
        .run_with_max_iters(
            task("remind me what the user likes regarding coffee"),
            &mut world_b,
            3,
        )
        .await
        .unwrap();

    let snaps = seen_ctx_guides.lock().unwrap().clone();
    assert!(
        !snaps.is_empty(),
        "PreModel should have fired at least once"
    );
    let first = &snaps[0];
    assert!(
        first.contains("dark roast"),
        "first PreModel ctx.guides must contain the recalled memory; got:\n{first}"
    );

    let _ = std::fs::remove_file(&mem_path);
}