koda-core 0.2.5

Core engine for the Koda AI coding agent (macOS and Linux only)
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
//! Context analysis — per-tool token breakdown and duplicate detection.
//!
//! Analyzes conversation history to identify where tokens are being spent.
//! Used by compaction decisions, `/usage` reporting, and microcompact.
//!
//! ## What it reports
//!
//! - **Per-tool token counts** — how many tokens each tool's results consume
//!   (Read, Grep, Bash, etc.)
//! - **Duplicate file reads** — files read multiple times (wasted context)
//! - **Human vs assistant split** — how much of the context is user messages
//!   vs model responses
//! - **Attachment sizes** — images and files pasted into the conversation
//!
//! ## How it's used
//!
//! - **Auto-compact**: triggers compaction when total tokens exceed threshold
//! - **`/usage` command**: shows the token breakdown to the user
//! - **Microcompact**: identifies old tool results safe to clear
//!
//! Inspired by Claude Code's `contextAnalysis.ts`.

use std::collections::HashMap;
use std::path::PathBuf;

use crate::inference_helpers::{CHARS_PER_TOKEN, PER_MESSAGE_OVERHEAD};
use crate::persistence::Message;

/// Per-tool and per-role token breakdown of a conversation context.
#[derive(Debug, Clone, Default)]
pub struct ContextAnalysis {
    /// Tokens in tool *request* blocks (assistant → tool_use), keyed by tool name.
    pub tool_request_tokens: HashMap<String, usize>,
    /// Tokens in tool *result* blocks (tool → result), keyed by tool name.
    pub tool_result_tokens: HashMap<String, usize>,
    /// Tokens in human/user messages (excluding tool results).
    pub human_tokens: usize,
    /// Tokens in assistant messages (excluding tool requests).
    pub assistant_tokens: usize,
    /// Files read more than once, with count and estimated wasted tokens.
    pub duplicate_reads: HashMap<PathBuf, DuplicateRead>,
    /// Total estimated tokens across all messages.
    pub total: usize,
}

/// Info about a duplicated file read in context.
#[derive(Debug, Clone)]
pub struct DuplicateRead {
    /// Number of times this file was read.
    pub count: usize,
    /// Estimated tokens wasted by redundant reads (all but the last).
    pub wasted_tokens: usize,
}

impl ContextAnalysis {
    /// Total tokens consumed by all tool results.
    pub fn total_tool_result_tokens(&self) -> usize {
        self.tool_result_tokens.values().sum()
    }

    /// Total tokens consumed by all tool requests.
    pub fn total_tool_request_tokens(&self) -> usize {
        self.tool_request_tokens.values().sum()
    }

    /// Total tokens wasted by duplicate file reads.
    pub fn total_duplicate_waste(&self) -> usize {
        self.duplicate_reads.values().map(|d| d.wasted_tokens).sum()
    }

    /// Percentage of total context consumed by tool results.
    pub fn tool_result_percent(&self) -> usize {
        if self.total == 0 {
            return 0;
        }
        (self.total_tool_result_tokens() * 100) / self.total
    }

    /// Percentage of total context consumed by duplicate reads.
    pub fn duplicate_read_percent(&self) -> usize {
        if self.total == 0 {
            return 0;
        }
        (self.total_duplicate_waste() * 100) / self.total
    }

    /// Top N tools by result token consumption, descending.
    pub fn top_tool_results(&self, n: usize) -> Vec<(&str, usize)> {
        let mut sorted: Vec<_> = self
            .tool_result_tokens
            .iter()
            .map(|(k, v)| (k.as_str(), *v))
            .collect();
        sorted.sort_by(|a, b| b.1.cmp(&a.1));
        sorted.truncate(n);
        sorted
    }

    /// Format a human-readable summary for `/usage` or context warnings.
    pub fn summary(&self) -> String {
        let mut lines = Vec::new();
        lines.push(format!("Context: ~{} tokens", self.total));
        lines.push(format!(
            "  Human: {} | Assistant: {} | Tool results: {} ({}%)",
            self.human_tokens,
            self.assistant_tokens,
            self.total_tool_result_tokens(),
            self.tool_result_percent(),
        ));

        let top = self.top_tool_results(5);
        if !top.is_empty() {
            lines.push("  Top tool results:".to_string());
            for (name, tokens) in &top {
                let pct = if self.total > 0 {
                    (*tokens * 100) / self.total
                } else {
                    0
                };
                lines.push(format!("    {name}: ~{tokens} tokens ({pct}%)"));
            }
        }

        let waste = self.total_duplicate_waste();
        if waste > 0 {
            lines.push(format!(
                "  Duplicate reads: ~{waste} wasted tokens ({}%) across {} files",
                self.duplicate_read_percent(),
                self.duplicate_reads.len(),
            ));
        }

        lines.join("\n")
    }
}

/// Analyze conversation history and produce a token breakdown.
///
/// Walks the message list, classifying each message by role and extracting
/// tool names from `tool_calls` JSON and `tool_call_id` linkage.
pub fn analyze_context(messages: &[Message]) -> ContextAnalysis {
    let mut analysis = ContextAnalysis::default();

    // Phase 1: Build a map from tool_call_id → tool_name by scanning
    // assistant messages with tool_calls JSON.
    let mut id_to_tool: HashMap<String, String> = HashMap::new();
    // Track Read tool: tool_call_id → file_path (extracted from args).
    let mut read_tool_paths: HashMap<String, PathBuf> = HashMap::new();

    for msg in messages {
        if msg.role == crate::persistence::Role::Assistant
            && let Some(ref tc_json) = msg.tool_calls
        {
            extract_tool_call_ids(tc_json, &mut id_to_tool, &mut read_tool_paths);
        }
    }

    // Phase 2: Classify each message and accumulate tokens.
    // Also track per-file read stats for duplicate detection.
    let mut file_read_stats: HashMap<PathBuf, FileReadAccum> = HashMap::new();

    for msg in messages {
        let tokens = estimate_message_tokens(msg);
        analysis.total += tokens;

        match msg.role {
            crate::persistence::Role::User => {
                analysis.human_tokens += tokens;
            }
            crate::persistence::Role::Assistant => {
                if let Some(ref tc_json) = msg.tool_calls {
                    // Split tokens between text content and tool requests.
                    let text_tokens = msg.content.as_deref().map_or(0, estimate_str_tokens);
                    let tool_tokens = tokens.saturating_sub(text_tokens);
                    analysis.assistant_tokens += text_tokens;

                    // Attribute tool request tokens to each tool name.
                    distribute_tool_request_tokens(
                        tc_json,
                        tool_tokens,
                        &mut analysis.tool_request_tokens,
                    );
                } else {
                    analysis.assistant_tokens += tokens;
                }
            }
            crate::persistence::Role::Tool => {
                // Look up which tool produced this result.
                let tool_name = msg
                    .tool_call_id
                    .as_deref()
                    .and_then(|id| id_to_tool.get(id))
                    .cloned()
                    .unwrap_or_else(|| "unknown".to_string());

                *analysis
                    .tool_result_tokens
                    .entry(tool_name.clone())
                    .or_default() += tokens;

                // Track file read stats for duplicate detection.
                if (tool_name == "Read" || tool_name == "read")
                    && let Some(path) = msg
                        .tool_call_id
                        .as_deref()
                        .and_then(|id| read_tool_paths.get(id))
                {
                    let entry =
                        file_read_stats
                            .entry(path.clone())
                            .or_insert_with(|| FileReadAccum {
                                count: 0,
                                total_tokens: 0,
                            });
                    entry.count += 1;
                    entry.total_tokens += tokens;
                }
            }
            crate::persistence::Role::System => {
                // System prompt — count toward total but not any category.
            }
        }
    }

    // Phase 3: Compute duplicate read waste.
    for (path, accum) in file_read_stats {
        if accum.count > 1 {
            let avg_tokens = accum.total_tokens / accum.count;
            let wasted = avg_tokens * (accum.count - 1);
            analysis.duplicate_reads.insert(
                path,
                DuplicateRead {
                    count: accum.count,
                    wasted_tokens: wasted,
                },
            );
        }
    }

    analysis
}

// ---------------------------------------------------------------------------
// Internal helpers
// ---------------------------------------------------------------------------

/// Accumulator for per-file read token stats.
struct FileReadAccum {
    count: usize,
    total_tokens: usize,
}

/// Estimate tokens for a single DB message row.
fn estimate_message_tokens(msg: &Message) -> usize {
    let content_len = msg.content.as_deref().map_or(0, |c| c.len());
    let tc_len = msg.tool_calls.as_deref().map_or(0, |c| c.len());
    ((content_len + tc_len) as f64 / CHARS_PER_TOKEN) as usize + PER_MESSAGE_OVERHEAD
}

/// Estimate tokens for a raw string.
fn estimate_str_tokens(s: &str) -> usize {
    (s.len() as f64 / CHARS_PER_TOKEN) as usize
}

/// Parse tool_calls JSON and populate id→name + read-path maps.
fn extract_tool_call_ids(
    tc_json: &str,
    id_to_tool: &mut HashMap<String, String>,
    read_paths: &mut HashMap<String, PathBuf>,
) {
    let calls: Vec<serde_json::Value> = match serde_json::from_str(tc_json) {
        Ok(v) => v,
        Err(_) => return,
    };
    for call in &calls {
        let id = call.get("id").and_then(|v| v.as_str()).unwrap_or_default();
        let name = call
            .get("function_name")
            .or_else(|| call.get("name"))
            .and_then(|v| v.as_str())
            .unwrap_or("unknown");

        if !id.is_empty() {
            id_to_tool.insert(id.to_string(), name.to_string());
        }

        // Extract file path for Read tool calls.
        if (name == "Read" || name == "read")
            && let Some(args) = call.get("arguments")
        {
            // `arguments` may be a JSON string or an object.
            let args_obj: Option<serde_json::Value> = if let Some(s) = args.as_str() {
                serde_json::from_str(s).ok()
            } else {
                Some(args.clone())
            };
            if let Some(obj) = args_obj
                && let Some(path) = obj
                    .get("file_path")
                    .or_else(|| obj.get("path"))
                    .and_then(|v| v.as_str())
            {
                read_paths.insert(id.to_string(), PathBuf::from(path));
            }
        }
    }
}

/// Distribute tool_tokens proportionally across the tool calls in a JSON array.
fn distribute_tool_request_tokens(
    tc_json: &str,
    total_tool_tokens: usize,
    request_map: &mut HashMap<String, usize>,
) {
    let calls: Vec<serde_json::Value> = match serde_json::from_str(tc_json) {
        Ok(v) => v,
        Err(_) => return,
    };
    if calls.is_empty() {
        return;
    }
    let per_call = total_tool_tokens / calls.len();
    for call in &calls {
        let name = call
            .get("function_name")
            .or_else(|| call.get("name"))
            .and_then(|v| v.as_str())
            .unwrap_or("unknown");
        *request_map.entry(name.to_string()).or_default() += per_call;
    }
}

#[cfg(test)]
mod tests {
    use super::*;
    use crate::persistence::{Message, Role};

    fn msg(
        role: Role,
        content: Option<&str>,
        tool_calls: Option<&str>,
        tool_call_id: Option<&str>,
    ) -> Message {
        Message {
            id: 0,
            session_id: String::new(),
            role,
            content: content.map(String::from),
            full_content: None,
            tool_calls: tool_calls.map(String::from),
            tool_call_id: tool_call_id.map(String::from),
            prompt_tokens: None,
            completion_tokens: None,
            cache_read_tokens: None,
            cache_creation_tokens: None,
            thinking_tokens: None,
            created_at: None,
        }
    }

    #[test]
    fn test_empty_history() {
        let analysis = analyze_context(&[]);
        assert_eq!(analysis.total, 0);
        assert_eq!(analysis.human_tokens, 0);
        assert_eq!(analysis.assistant_tokens, 0);
        assert!(analysis.tool_result_tokens.is_empty());
        assert!(analysis.duplicate_reads.is_empty());
    }

    #[test]
    fn test_simple_conversation() {
        let messages = vec![
            msg(Role::User, Some("Hello world"), None, None),
            msg(Role::Assistant, Some("Hi there!"), None, None),
        ];
        let analysis = analyze_context(&messages);
        assert!(analysis.total > 0);
        assert!(analysis.human_tokens > 0);
        assert!(analysis.assistant_tokens > 0);
        assert_eq!(analysis.total_tool_result_tokens(), 0);
    }

    #[test]
    fn test_tool_call_attribution() {
        let tc_json =
            r#"[{"id":"tc_1","function_name":"Read","arguments":"{\"file_path\":\"foo.rs\"}"}]"#;
        let messages = vec![
            msg(Role::User, Some("Read foo.rs"), None, None),
            msg(Role::Assistant, None, Some(tc_json), None),
            msg(
                Role::Tool,
                Some("contents of foo.rs which is a pretty long file with lots of code"),
                None,
                Some("tc_1"),
            ),
        ];
        let analysis = analyze_context(&messages);
        assert!(analysis.tool_result_tokens.contains_key("Read"));
        assert!(*analysis.tool_result_tokens.get("Read").unwrap() > 0);
    }

    #[test]
    fn test_duplicate_read_detection() {
        let tc1 =
            r#"[{"id":"tc_1","function_name":"Read","arguments":"{\"file_path\":\"foo.rs\"}"}]"#;
        let tc2 =
            r#"[{"id":"tc_2","function_name":"Read","arguments":"{\"file_path\":\"foo.rs\"}"}]"#;
        let tc3 =
            r#"[{"id":"tc_3","function_name":"Read","arguments":"{\"file_path\":\"bar.rs\"}"}]"#;

        let messages = vec![
            msg(Role::User, Some("Read foo.rs"), None, None),
            msg(Role::Assistant, None, Some(tc1), None),
            msg(Role::Tool, Some("contents of foo"), None, Some("tc_1")),
            msg(Role::User, Some("Read it again"), None, None),
            msg(Role::Assistant, None, Some(tc2), None),
            msg(Role::Tool, Some("contents of foo"), None, Some("tc_2")),
            msg(Role::User, Some("Read bar.rs"), None, None),
            msg(Role::Assistant, None, Some(tc3), None),
            msg(Role::Tool, Some("contents of bar"), None, Some("tc_3")),
        ];

        let analysis = analyze_context(&messages);

        // foo.rs was read twice → should appear in duplicate_reads
        let foo_path = PathBuf::from("foo.rs");
        assert!(analysis.duplicate_reads.contains_key(&foo_path));
        assert_eq!(analysis.duplicate_reads[&foo_path].count, 2);
        assert!(analysis.duplicate_reads[&foo_path].wasted_tokens > 0);

        // bar.rs was read once → should NOT appear
        let bar_path = PathBuf::from("bar.rs");
        assert!(!analysis.duplicate_reads.contains_key(&bar_path));
    }

    #[test]
    fn test_top_tool_results() {
        let tc1 = r#"[{"id":"tc_1","function_name":"Read","arguments":"{}"}]"#;
        let tc2 = r#"[{"id":"tc_2","function_name":"Bash","arguments":"{}"}]"#;

        let long_content = "x".repeat(1000);
        let short_content = "y".repeat(100);

        let messages = vec![
            msg(Role::Assistant, None, Some(tc1), None),
            msg(Role::Tool, Some(&long_content), None, Some("tc_1")),
            msg(Role::Assistant, None, Some(tc2), None),
            msg(Role::Tool, Some(&short_content), None, Some("tc_2")),
        ];

        let analysis = analyze_context(&messages);
        let top = analysis.top_tool_results(5);
        assert!(!top.is_empty());
        // Read should be first (more tokens)
        assert_eq!(top[0].0, "Read");
    }

    #[test]
    fn test_summary_format() {
        let tc1 = r#"[{"id":"tc_1","function_name":"Read","arguments":"{}"}]"#;
        let messages = vec![
            msg(Role::User, Some("hello"), None, None),
            msg(Role::Assistant, Some("let me read"), Some(tc1), None),
            msg(Role::Tool, Some("file contents here"), None, Some("tc_1")),
        ];
        let analysis = analyze_context(&messages);
        let summary = analysis.summary();
        assert!(summary.contains("Context:"));
        assert!(summary.contains("Human:"));
        assert!(summary.contains("Tool results:"));
    }

    #[test]
    fn test_multiple_tool_calls_in_one_message() {
        let tc = r#"[
            {"id":"tc_1","function_name":"Read","arguments":"{}"},
            {"id":"tc_2","function_name":"Grep","arguments":"{}"}
        ]"#;
        let messages = vec![
            msg(Role::Assistant, None, Some(tc), None),
            msg(Role::Tool, Some("read result"), None, Some("tc_1")),
            msg(Role::Tool, Some("grep result"), None, Some("tc_2")),
        ];
        let analysis = analyze_context(&messages);
        assert!(analysis.tool_result_tokens.contains_key("Read"));
        assert!(analysis.tool_result_tokens.contains_key("Grep"));
    }

    #[test]
    fn test_total_tool_request_tokens_counted() {
        // A tool_calls JSON in an assistant message should contribute to
        // tool_request_tokens, not tool_result_tokens.
        let tc =
            r#"[{"id":"tc_1","function_name":"Read","arguments":"{\"file_path\":\"big.rs\"}"}]"#;
        let messages = vec![
            msg(Role::Assistant, None, Some(tc), None),
            msg(Role::Tool, Some("result"), None, Some("tc_1")),
        ];
        let analysis = analyze_context(&messages);
        assert!(
            analysis.total_tool_request_tokens() > 0,
            "tool request tokens should be counted"
        );
    }

    #[test]
    fn test_tool_result_percent_calculation() {
        let tc = r#"[{"id":"tc_1","function_name":"Read","arguments":"{}"}]"#;
        // Use a large result so it registers as a meaningful percentage.
        let big_result = "x".repeat(500);
        let messages = vec![
            msg(Role::User, Some("hello"), None, None),
            msg(Role::Assistant, None, Some(tc), None),
            msg(Role::Tool, Some(&big_result), None, Some("tc_1")),
        ];
        let analysis = analyze_context(&messages);
        let pct = analysis.tool_result_percent();
        assert!(pct > 0 && pct <= 100, "percent should be 1-100, got {pct}");
        // Tool result should be the dominant consumer in this exchange.
        assert!(
            pct > analysis.human_tokens * 100 / analysis.total,
            "tool result percent should exceed human percent for large results"
        );
    }

    #[test]
    fn test_tool_result_percent_zero_when_no_context() {
        let analysis = analyze_context(&[]);
        assert_eq!(analysis.tool_result_percent(), 0);
        assert_eq!(analysis.duplicate_read_percent(), 0);
    }

    #[test]
    fn test_total_duplicate_waste_sums_correctly() {
        let tc1 =
            r#"[{"id":"tc_1","function_name":"Read","arguments":"{\"file_path\":\"f.rs\"}"}]"#;
        let tc2 =
            r#"[{"id":"tc_2","function_name":"Read","arguments":"{\"file_path\":\"f.rs\"}"}]"#;
        let content = "y".repeat(200);
        let messages = vec![
            msg(Role::Assistant, None, Some(tc1), None),
            msg(Role::Tool, Some(&content), None, Some("tc_1")),
            msg(Role::Assistant, None, Some(tc2), None),
            msg(Role::Tool, Some(&content), None, Some("tc_2")),
        ];
        let analysis = analyze_context(&messages);
        assert!(
            analysis.total_duplicate_waste() > 0,
            "duplicate read of f.rs should produce non-zero waste"
        );
        // waste should equal result of the second (redundant) read
        assert_eq!(
            analysis.total_duplicate_waste(),
            analysis
                .duplicate_reads
                .values()
                .map(|d| d.wasted_tokens)
                .sum::<usize>()
        );
    }

    #[test]
    fn test_duplicate_read_percent_nonzero() {
        let tc1 =
            r#"[{"id":"tc_1","function_name":"Read","arguments":"{\"file_path\":\"g.rs\"}"}]"#;
        let tc2 =
            r#"[{"id":"tc_2","function_name":"Read","arguments":"{\"file_path\":\"g.rs\"}"}]"#;
        let content = "z".repeat(400);
        let messages = vec![
            msg(Role::Assistant, None, Some(tc1), None),
            msg(Role::Tool, Some(&content), None, Some("tc_1")),
            msg(Role::Assistant, None, Some(tc2), None),
            msg(Role::Tool, Some(&content), None, Some("tc_2")),
        ];
        let analysis = analyze_context(&messages);
        assert!(
            analysis.duplicate_read_percent() > 0,
            "duplicate reads should produce non-zero percent"
        );
    }

    #[test]
    fn test_top_tool_results_empty_when_n_zero() {
        let tc = r#"[{"id":"tc_1","function_name":"Read","arguments":"{}"}]"#;
        let messages = vec![
            msg(Role::Assistant, None, Some(tc), None),
            msg(Role::Tool, Some("stuff"), None, Some("tc_1")),
        ];
        let analysis = analyze_context(&messages);
        assert!(analysis.top_tool_results(0).is_empty());
    }

    #[test]
    fn test_top_tool_results_sorted_descending() {
        let tc1 = r#"[{"id":"tc_1","function_name":"Bash","arguments":"{}"}]"#;
        let tc2 = r#"[{"id":"tc_2","function_name":"Read","arguments":"{}"}]"#;
        let tc3 = r#"[{"id":"tc_3","function_name":"Grep","arguments":"{}"}]"#;
        let messages = vec![
            msg(Role::Assistant, None, Some(tc1), None),
            msg(Role::Tool, Some(&"a".repeat(100)), None, Some("tc_1")), // small
            msg(Role::Assistant, None, Some(tc2), None),
            msg(Role::Tool, Some(&"b".repeat(2000)), None, Some("tc_2")), // largest
            msg(Role::Assistant, None, Some(tc3), None),
            msg(Role::Tool, Some(&"c".repeat(500)), None, Some("tc_3")), // medium
        ];
        let analysis = analyze_context(&messages);
        let top = analysis.top_tool_results(3);
        assert_eq!(top.len(), 3);
        // Descending order: Read > Grep > Bash
        assert_eq!(top[0].0, "Read");
        assert_eq!(top[1].0, "Grep");
        assert_eq!(top[2].0, "Bash");
        // Each entry should be >= the next.
        assert!(top[0].1 >= top[1].1);
        assert!(top[1].1 >= top[2].1);
    }

    #[test]
    fn test_system_tokens_counted_in_total() {
        let big_system = "S".repeat(1000);
        let messages = vec![msg(Role::System, Some(&big_system), None, None)];
        let analysis = analyze_context(&messages);
        assert!(
            analysis.total > 0,
            "system message should contribute to total token count"
        );
        assert_eq!(
            analysis.human_tokens, 0,
            "system tokens should not be counted as human"
        );
    }

    #[test]
    fn test_summary_with_no_tool_use() {
        let messages = vec![
            msg(Role::User, Some("hi"), None, None),
            msg(Role::Assistant, Some("hello"), None, None),
        ];
        let summary = analyze_context(&messages).summary();
        assert!(summary.contains("Context:"));
        assert!(summary.contains("Human:"));
        // No tool section when there are no tool results.
        assert!(!summary.contains("Top tool results:"));
        assert!(!summary.contains("Duplicate reads:"));
    }

    #[test]
    fn test_summary_includes_duplicate_waste_line() {
        let tc1 =
            r#"[{"id":"tc_1","function_name":"Read","arguments":"{\"file_path\":\"h.rs\"}"}]"#;
        let tc2 =
            r#"[{"id":"tc_2","function_name":"Read","arguments":"{\"file_path\":\"h.rs\"}"}]"#;
        let content = "D".repeat(500);
        let messages = vec![
            msg(Role::Assistant, None, Some(tc1), None),
            msg(Role::Tool, Some(&content), None, Some("tc_1")),
            msg(Role::Assistant, None, Some(tc2), None),
            msg(Role::Tool, Some(&content), None, Some("tc_2")),
        ];
        let summary = analyze_context(&messages).summary();
        assert!(
            summary.contains("Duplicate reads:"),
            "summary should mention duplicate reads when present"
        );
    }
}