oxi-ai 0.16.0

Unified LLM API — multi-provider streaming interface for AI coding assistants
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
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
//! Anthropic provider implementation

use async_trait::async_trait;
use futures::{Stream, StreamExt};
use reqwest::Client;
use serde::Deserialize;
use serde_json::Value as JsonValue;
use std::pin::Pin;

use super::openai::split_complete_lines;
use super::shared_client;
use crate::{
    error::ProviderError, Api, AssistantMessage, ContentBlock, Context, Model, Provider,
    ProviderEvent, StopReason, StreamOptions, TextContent, ThinkingContent, Usage,
};

/// Anthropic provider
#[derive(Clone)]
pub struct AnthropicProvider {
    client: &'static Client,
    api_key: Option<String>,
}

impl AnthropicProvider {
    /// Create a new Anthropic provider without an API key.
    ///
    /// API keys are resolved at request time via auth.json or StreamOptions.
    /// Use `with_api_key()` for explicit key injection.
    pub fn new() -> Self {
        Self {
            client: shared_client(),
            api_key: None,
        }
    }
}

impl Default for AnthropicProvider {
    fn default() -> Self {
        Self::new()
    }
}

#[async_trait]
impl Provider for AnthropicProvider {
    async fn stream(
        &self,
        model: &Model,
        context: &Context,
        options: Option<StreamOptions>,
    ) -> Result<Pin<Box<dyn Stream<Item = ProviderEvent> + Send>>, ProviderError> {
        let options = options.unwrap_or_default();

        // Build the request
        let url = format!("{}/v1/messages", model.base_url);

        // Get API key
        let api_key = options
            .api_key
            .as_ref()
            .or(self.api_key.as_ref())
            .ok_or_else(|| ProviderError::MissingApiKey)?;

        // Build messages
        let messages = build_anthropic_messages(context)?;

        // Build request body
        let mut body = serde_json::json!({
            "model": model.id,
            "messages": messages,
            "stream": true,
        });

        // Add system prompt
        if let Some(ref prompt) = context.system_prompt {
            body["system"] = serde_json::json!(prompt);
        }

        // Add optional parameters
        if let Some(temp) = options.temperature {
            body["temperature"] = serde_json::json!(temp);
        }

        if let Some(max) = options.max_tokens {
            body["max_tokens"] = serde_json::json!(max);
        }

        // Add tools if present
        if !context.tools.is_empty() {
            body["tools"] = build_anthropic_tools(&context.tools)?;
        }

        // Build headers
        let mut headers = reqwest::header::HeaderMap::new();
        headers.insert("x-api-key", api_key.parse().expect("valid header value"));
        headers.insert(
            "content-type",
            "application/json".parse().expect("valid header value"),
        );
        headers.insert(
            "anthropic-version",
            "2023-06-01".parse().expect("valid header value"),
        );

        for (k, v) in &options.headers {
            if let (Ok(name), Ok(value)) = (
                k.parse::<reqwest::header::HeaderName>(),
                v.parse::<reqwest::header::HeaderValue>(),
            ) {
                headers.insert(name, value);
            }
        }

        // Make request
        let response = self
            .client
            .post(&url)
            .headers(headers)
            .json(&body)
            .send()
            .await
            .map_err(ProviderError::RequestFailed)?;

        if !response.status().is_success() {
            let status = response.status();
            let body: String = response.text().await.unwrap_or_default();
            return Err(ProviderError::HttpError(status.as_u16(), body));
        }

        // Create event stream
        let model_name = model.id.clone();

        // Use stateful scan (like OpenAI provider) to handle UTF-8 boundaries
        // safely.  Anthropic SSE lines can be split across HTTP chunks at
        // arbitrary byte boundaries; without reassembly, multi-byte characters
        // (Korean, emoji, etc.) get corrupted by `from_utf8_lossy`.
        let stream = response
            .bytes_stream()
            .scan(
                Vec::new(), // pending_bytes
                move |pending_bytes, chunk: Result<bytes::Bytes, reqwest::Error>| {
                    let events = match chunk {
                        Ok(bytes) => {
                            let mut combined =
                                Vec::with_capacity(pending_bytes.len() + bytes.len());
                            combined.extend_from_slice(pending_bytes);
                            combined.extend_from_slice(&bytes);
                            let (text, trailing) = split_complete_lines(&combined);
                            *pending_bytes = trailing;
                            parse_anthropic_events(&text, &model_name)
                        }
                        Err(e) => vec![ProviderEvent::Error {
                            reason: StopReason::Error,
                            error: create_error_message(&e.to_string()),
                        }],
                    };
                    async move { Some(futures::stream::iter(events)) }
                },
            )
            .flatten();

        Ok(Box::pin(stream))
    }

    fn name(&self) -> &str {
        "anthropic"
    }
}

/// Build messages in Anthropic format
fn build_anthropic_messages(context: &Context) -> Result<Vec<JsonValue>, ProviderError> {
    let mut messages = Vec::new();

    for msg in &context.messages {
        match msg {
            crate::Message::User(u) => {
                let content = match &u.content {
                    crate::MessageContent::Text(s) => vec![serde_json::json!({
                        "type": "text",
                        "text": s,
                    })],
                    crate::MessageContent::Blocks(blocks) => blocks_to_anthropic_content(blocks)?,
                };
                messages.push(serde_json::json!({
                    "role": "user",
                    "content": content,
                }));
            }
            crate::Message::Assistant(a) => {
                let content = blocks_to_anthropic_content(&a.content)?;
                messages.push(serde_json::json!({
                    "role": "assistant",
                    "content": content,
                }));
            }
            crate::Message::ToolResult(t) => {
                let content = blocks_to_anthropic_content(&t.content)?;
                messages.push(serde_json::json!({
                    "role": "user",
                    "content": [{
                        "type": "tool_result",
                        "tool_use_id": t.tool_call_id,
                        "content": content,
                    }],
                }));
            }
        }
    }

    Ok(messages)
}

/// Convert content blocks to Anthropic format
fn blocks_to_anthropic_content(blocks: &[ContentBlock]) -> Result<Vec<JsonValue>, ProviderError> {
    let mut items = Vec::new();

    for block in blocks {
        match block {
            ContentBlock::Text(t) => {
                items.push(serde_json::json!({
                    "type": "text",
                    "text": t.text,
                }));
            }
            ContentBlock::ToolCall(tc) => {
                items.push(serde_json::json!({
                    "type": "tool_use",
                    "id": tc.id,
                    "name": tc.name,
                    "input": tc.arguments,
                }));
            }
            ContentBlock::Thinking(th) => {
                items.push(serde_json::json!({
                    "type": "thinking",
                    "thinking": th.thinking,
                }));
            }
            ContentBlock::Image(img) => {
                items.push(serde_json::json!({
                    "type": "image",
                    "source": {
                        "type": "base64",
                        "media_type": img.mime_type,
                        "data": img.data,
                    },
                }));
            }
            ContentBlock::Unknown(_) => {
                // Skip unknown blocks
            }
        }
    }

    Ok(items)
}

/// Build tools in Anthropic format
fn build_anthropic_tools(tools: &[crate::Tool]) -> Result<JsonValue, ProviderError> {
    let items: Vec<_> = tools
        .iter()
        .map(|tool| {
            serde_json::json!({
                "name": tool.name,
                "description": tool.description,
                "input_schema": tool.parameters,
            })
        })
        .collect();

    Ok(serde_json::json!(items))
}

/// Parse Anthropic SSE event stream.
///
/// Optimizations:
/// - Fast-line splitting via `split('\n')`.
/// - Early exit on terminal events.
/// - Pre-allocated events vector.
/// - Accumulated usage tracked separately, only cloned into Done message.
fn parse_anthropic_events(text: &str, model_id: &str) -> Vec<ProviderEvent> {
    let mut events = Vec::new();
    let mut partial_message = AssistantMessage::new(Api::AnthropicMessages, "anthropic", model_id);

    // Pre-allocate based on data-line count
    let estimated = text.split('\n').filter(|l| l.starts_with("data: ")).count();
    events.reserve(estimated);

    let mut accumulated_usage = Usage::default();

    for line in text.split('\n') {
        let line = line.trim_end_matches('\r');
        if line.is_empty() {
            continue;
        }

        if !line.starts_with("data: ") {
            continue;
        }

        let data = &line[6..];

        if data == "[DONE]" || data.is_empty() {
            continue;
        }

        let event = match serde_json::from_str::<AnthropicEvent>(data) {
            Ok(e) => e,
            Err(_) => continue,
        };

        let event_type = event.type_.as_deref();

        // ── Accumulate usage BEFORE the match statement ──────────────────
        // This ensures Done events carry the latest usage snapshot.
        // - Top-level `usage`: from `message_delta` events (output_tokens)
        // - Nested `message.usage`: from `message_start` events (input_tokens)
        if let Some(usage) = &event.usage {
            accumulated_usage.input = usage.input_tokens;
            accumulated_usage.output = usage.output_tokens;
            accumulated_usage.cache_read = usage.cache_read;
            accumulated_usage.cache_write = usage.cache_creation;
            accumulated_usage.total_tokens = usage.input_tokens + usage.output_tokens;
        } else if let Some(msg) = &event.message {
            // `message_start` carries usage nested inside `message`
            if let Some(usage) = &msg.usage {
                accumulated_usage.input = usage.input_tokens;
                accumulated_usage.output = usage.output_tokens;
                accumulated_usage.cache_read = usage.cache_read;
                accumulated_usage.cache_write = usage.cache_creation;
                accumulated_usage.total_tokens = usage.input_tokens + usage.output_tokens;
            }
        }

        match event_type {
            Some("message_start") => {
                events.push(ProviderEvent::Start {
                    partial: partial_message.clone(),
                });
            }
            Some("content_block_start") => {
                if let Some(block) = &event.content_block {
                    // Use block-level index if present, fall back to event-level index
                    let idx = block.index.or(event.index).unwrap_or(0);
                    match block.type_.as_deref() {
                        Some("text") => {
                            events.push(ProviderEvent::TextStart {
                                content_index: idx,
                                partial: partial_message.clone(),
                            });
                        }
                        Some("thinking") => {
                            events.push(ProviderEvent::ThinkingStart {
                                content_index: idx,
                                partial: partial_message.clone(),
                            });
                        }
                        Some("tool_use") => {
                            events.push(ProviderEvent::ToolCallStart {
                                content_index: idx,
                                tool_call_id: block.id.clone(),
                                tool_name: None,
                                partial: partial_message.clone(),
                            });
                        }
                        _ => {}
                    }
                }
            }
            Some("content_block_delta") => {
                if let Some(delta) = &event.delta {
                    match delta.type_.as_deref() {
                        Some("text_delta") => {
                            if let Some(text) = &delta.text {
                                // Accumulate into partial_message so the TUI
                                // can diff against its snapshot tracker.
                                let last_text_idx = partial_message
                                    .content
                                    .iter()
                                    .rposition(|b| matches!(b, ContentBlock::Text(_)));
                                if let Some(idx) = last_text_idx {
                                    if let ContentBlock::Text(t) = &mut partial_message.content[idx]
                                    {
                                        t.text.push_str(text);
                                    }
                                } else {
                                    partial_message
                                        .content
                                        .push(ContentBlock::Text(TextContent::new(text.clone())));
                                }
                                events.push(ProviderEvent::TextDelta {
                                    content_index: event.index.unwrap_or(0),
                                    delta: text.clone(),
                                    partial: partial_message.clone(),
                                });
                            }
                        }
                        Some("thinking_delta") => {
                            if let Some(text) = &delta.thinking {
                                // Accumulate into partial_message
                                let last_think_idx = partial_message
                                    .content
                                    .iter()
                                    .rposition(|b| matches!(b, ContentBlock::Thinking(_)));
                                if let Some(idx) = last_think_idx {
                                    if let ContentBlock::Thinking(t) =
                                        &mut partial_message.content[idx]
                                    {
                                        t.thinking.push_str(text);
                                    }
                                } else {
                                    partial_message.content.push(ContentBlock::Thinking(
                                        ThinkingContent::new(text.clone()),
                                    ));
                                }
                                events.push(ProviderEvent::ThinkingDelta {
                                    content_index: event.index.unwrap_or(0),
                                    delta: text.clone(),
                                    partial: partial_message.clone(),
                                });
                            }
                        }
                        Some("input_json_delta") => {
                            if let Some(args) = &delta.partial_json {
                                events.push(ProviderEvent::ToolCallDelta {
                                    content_index: event.index.unwrap_or(0),
                                    delta: args.clone(),
                                    partial: partial_message.clone(),
                                });
                            }
                        }
                        _ => {}
                    }
                }
            }
            Some("message_delta") => {
                if let Some(delta) = &event.delta {
                    let reason = match delta.stop_reason.as_deref() {
                        Some("end_turn") => StopReason::Stop,
                        Some("max_tokens") => StopReason::Length,
                        Some("stop_sequence") => StopReason::Stop,
                        _ => StopReason::Stop,
                    };

                    let mut done_msg = partial_message.clone();
                    done_msg.usage = accumulated_usage.clone();
                    events.push(ProviderEvent::Done {
                        reason,
                        message: done_msg,
                    });
                }
            }
            Some("message_stop") => {
                // Message complete – no event needed
            }
            _ => {}
        }
    }

    events
}

/// Create error assistant message
fn create_error_message(msg: &str) -> AssistantMessage {
    let mut message = AssistantMessage::new(Api::AnthropicMessages, "anthropic", "unknown");
    message.stop_reason = StopReason::Error;
    message.error_message = Some(msg.to_string());
    message
}

// Anthropic event structure
#[derive(Debug, Deserialize)]
struct AnthropicEvent {
    #[serde(rename = "type")]
    type_: Option<String>,
    #[serde(rename = "index")]
    index: Option<usize>,
    content_block: Option<ContentBlockStart>,
    delta: Option<Delta>,
    usage: Option<AnthropicUsage>,
    /// Nested message from `message_start` event — contains initial usage.
    message: Option<AnthropicMessageStart>,
}

/// Nested message object from Anthropic `message_start` events.
/// Carries initial token usage (input_tokens, output_tokens) before streaming begins.
#[derive(Debug, Deserialize)]
struct AnthropicMessageStart {
    usage: Option<AnthropicUsage>,
}

#[derive(Debug, Deserialize)]
struct ContentBlockStart {
    #[serde(rename = "type")]
    type_: Option<String>,
    index: Option<usize>,
    /// Tool call ID present for tool_use blocks (Anthropic sends this in content_block_start)
    id: Option<String>,
}

#[derive(Debug, Deserialize)]
struct Delta {
    #[serde(rename = "type")]
    type_: Option<String>,
    text: Option<String>,
    thinking: Option<String>,
    partial_json: Option<String>,
    #[serde(rename = "stop_reason")]
    stop_reason: Option<String>,
}

#[derive(Debug, Deserialize)]
struct AnthropicUsage {
    #[serde(rename = "input_tokens")]
    input_tokens: usize,
    #[serde(rename = "output_tokens")]
    output_tokens: usize,
    #[serde(rename = "cache_read")]
    cache_read: usize,
    #[serde(rename = "cache_creation")]
    cache_creation: usize,
}

#[cfg(test)]
mod tests {
    use super::*;

    const MODEL: &str = "claude-3-5-sonnet-20241022";

    // ── message_start ──────────────────────────────────────────────────

    #[test]
    fn parse_message_start() {
        let sse = "data: {\"type\":\"message_start\",\"message\":{\"id\":\"msg_1\"}}\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert_eq!(events.len(), 1);
        assert!(matches!(&events[0], ProviderEvent::Start { .. }));
    }

    // ── content_block_start ────────────────────────────────────────────

    #[test]
    fn parse_text_block_start() {
        let sse = "data: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert_eq!(events.len(), 1);
        match &events[0] {
            ProviderEvent::TextStart { content_index, .. } => assert_eq!(*content_index, 0),
            other => panic!("expected TextStart, got {other:?}"),
        }
    }

    #[test]
    fn parse_thinking_block_start() {
        let sse = "data: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert_eq!(events.len(), 1);
        assert!(matches!(&events[0], ProviderEvent::ThinkingStart { .. }));
    }

    #[test]
    fn parse_tool_use_block_start() {
        let sse = "data: {\"type\":\"content_block_start\",\"index\":1,\"content_block\":{\"type\":\"tool_use\",\"id\":\"tool_1\",\"name\":\"search\"}}\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert_eq!(events.len(), 1);
        match &events[0] {
            ProviderEvent::ToolCallStart { content_index, .. } => assert_eq!(*content_index, 1),
            other => panic!("expected ToolCallStart, got {other:?}"),
        }
    }

    // ── content_block_delta ────────────────────────────────────────────

    #[test]
    fn parse_text_delta() {
        let sse = "data: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Hello\"}}\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert_eq!(events.len(), 1);
        match &events[0] {
            ProviderEvent::TextDelta {
                delta,
                content_index,
                ..
            } => {
                assert_eq!(delta, "Hello");
                assert_eq!(*content_index, 0);
            }
            other => panic!("expected TextDelta, got {other:?}"),
        }
    }

    #[test]
    fn parse_thinking_delta() {
        let sse = "data: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"Let me reason...\"}}\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert_eq!(events.len(), 1);
        match &events[0] {
            ProviderEvent::ThinkingDelta { delta, .. } => assert_eq!(delta, "Let me reason..."),
            other => panic!("expected ThinkingDelta, got {other:?}"),
        }
    }

    #[test]
    fn parse_input_json_delta() {
        let sse = "data: {\"type\":\"content_block_delta\",\"index\":1,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\":\\\"SF\\\"}\"}}\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert_eq!(events.len(), 1);
        match &events[0] {
            ProviderEvent::ToolCallDelta {
                delta,
                content_index,
                ..
            } => {
                assert_eq!(delta, "{\"city\":\"SF\"}");
                assert_eq!(*content_index, 1);
            }
            other => panic!("expected ToolCallDelta, got {other:?}"),
        }
    }

    // ── message_delta (completion) ─────────────────────────────────────

    #[test]
    fn parse_message_delta_end_turn() {
        let sse = "data: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"}}\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert_eq!(events.len(), 1);
        match &events[0] {
            ProviderEvent::Done { reason, .. } => assert!(matches!(reason, StopReason::Stop)),
            other => panic!("expected Done, got {other:?}"),
        }
    }

    #[test]
    fn parse_message_delta_max_tokens() {
        let sse = "data: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"max_tokens\"}}\n";
        let events = parse_anthropic_events(sse, MODEL);
        match &events[0] {
            ProviderEvent::Done { reason, .. } => assert!(matches!(reason, StopReason::Length)),
            other => panic!("expected Done with Length, got {other:?}"),
        }
    }

    #[test]
    fn parse_message_delta_stop_sequence() {
        let sse =
            "data: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"stop_sequence\"}}\n";
        let events = parse_anthropic_events(sse, MODEL);
        match &events[0] {
            ProviderEvent::Done { reason, .. } => assert!(matches!(reason, StopReason::Stop)),
            other => panic!("expected Done with Stop, got {other:?}"),
        }
    }

    // ── message_stop ───────────────────────────────────────────────────

    #[test]
    fn parse_message_stop_no_event_emitted() {
        let sse = "data: {\"type\":\"message_stop\"}\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert!(events.is_empty());
    }

    // ── Thinking block full flow ───────────────────────────────────────

    #[test]
    fn parse_thinking_block_flow() {
        let sse = concat!(
            "data: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"thinking\",\"thinking\":\"\"}}\n",
            "\n",
            "data: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\"I should\"}}\n",
            "\n",
            "data: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"thinking_delta\",\"thinking\":\" check this.\"}}\n",
            "\n"
        );
        let events = parse_anthropic_events(sse, MODEL);
        assert_eq!(events.len(), 3);
        assert!(matches!(&events[0], ProviderEvent::ThinkingStart { .. }));
        let thinking: Vec<&str> = events[1..]
            .iter()
            .filter_map(|e| match e {
                ProviderEvent::ThinkingDelta { delta, .. } => Some(delta.as_str()),
                _ => None,
            })
            .collect();
        assert_eq!(thinking, vec!["I should", " check this."]);
    }

    // ── Usage accumulation ─────────────────────────────────────────────

    #[test]
    fn parse_usage_from_message_start() {
        // Usage accumulates from earlier events; Done captures what was accumulated
        // *before* the message_delta chunk (since usage updates happen after event emission).
        // The message_start carries initial usage, which gets captured in the Done event.
        let sse = concat!(
            "data: {\"type\":\"message_start\",\"message\":{\"id\":\"msg_1\"},\"usage\":{\"input_tokens\":100,\"output_tokens\":0,\"cache_read\":80,\"cache_creation\":20}}\n",
            "\n",
            "data: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"hi\"}}\n",
            "\n",
            "data: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"}}\n"
        );
        let events = parse_anthropic_events(sse, MODEL);
        // Start + TextDelta + Done
        assert_eq!(events.len(), 3);
        match &events[2] {
            ProviderEvent::Done { message, .. } => {
                // Captures usage from message_start (output_tokens was 0 there)
                assert_eq!(message.usage.input, 100);
                assert_eq!(message.usage.output, 0);
                assert_eq!(message.usage.total_tokens, 100);
                assert_eq!(message.usage.cache_read, 80);
                assert_eq!(message.usage.cache_write, 20);
            }
            other => panic!("expected Done, got {other:?}"),
        }
    }

    // ── Cache metrics ──────────────────────────────────────────────────

    #[test]
    fn parse_cache_metrics() {
        let sse = concat!(
            "data: {\"type\":\"message_start\",\"usage\":{\"input_tokens\":50,\"output_tokens\":0,\"cache_read\":40,\"cache_creation\":10}}\n",
            "\n",
            "data: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":50,\"output_tokens\":20,\"cache_read\":40,\"cache_creation\":10}}\n"
        );
        let events = parse_anthropic_events(sse, MODEL);
        // Start + Done
        assert_eq!(events.len(), 2);
        match &events[1] {
            ProviderEvent::Done { message, .. } => {
                assert_eq!(message.usage.cache_read, 40);
                assert_eq!(message.usage.cache_write, 10);
            }
            other => panic!("expected Done, got {other:?}"),
        }
    }

    // ── Empty / malformed handling ─────────────────────────────────────

    #[test]
    fn parse_empty_input() {
        let events = parse_anthropic_events("", MODEL);
        assert!(events.is_empty());
    }

    #[test]
    fn parse_done_marker_is_ignored() {
        // Anthropic uses event-type based termination, but [DONE] should be silently skipped
        let sse = "data: [DONE]\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert!(events.is_empty());
    }

    #[test]
    fn parse_malformed_json_is_skipped() {
        let sse = "data: {broken\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"ok\"}}\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert_eq!(events.len(), 1);
        match &events[0] {
            ProviderEvent::TextDelta { delta, .. } => assert_eq!(delta, "ok"),
            other => panic!("expected TextDelta, got {other:?}"),
        }
    }

    #[test]
    fn parse_non_data_lines_ignored() {
        let sse = "event: ping\nid: 42\ndata: {\"type\":\"message_start\"}\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert_eq!(events.len(), 1);
    }

    #[test]
    fn parse_empty_data_line_skipped() {
        let sse = "data: \ndata: {\"type\":\"message_start\"}\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert_eq!(events.len(), 1);
    }

    #[test]
    fn parse_unknown_event_type_ignored() {
        let sse = "data: {\"type\":\"ping\"}\ndata: {\"type\":\"message_start\"}\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert_eq!(events.len(), 1);
    }

    #[test]
    fn parse_carriage_return_line_endings() {
        let sse = "data: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"CR\"}}\r\n\r\n";
        let events = parse_anthropic_events(sse, MODEL);
        assert_eq!(events.len(), 1);
        match &events[0] {
            ProviderEvent::TextDelta { delta, .. } => assert_eq!(delta, "CR"),
            other => panic!("expected TextDelta, got {other:?}"),
        }
    }

    // ── Full stream ────────────────────────────────────────────────────

    #[test]
    fn parse_full_anthropic_stream() {
        let sse = concat!(
            "data: {\"type\":\"message_start\",\"message\":{\"id\":\"msg_1\"}}\n",
            "\n",
            "data: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n",
            "\n",
            "data: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Hello\"}}\n",
            "\n",
            "data: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" world\"}}\n",
            "\n",
            "data: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"}}\n",
            "\n",
            "data: {\"type\":\"message_stop\"}\n"
        );
        let events = parse_anthropic_events(sse, MODEL);
        // Start + TextStart + 2×TextDelta + Done
        assert_eq!(events.len(), 5);

        assert!(matches!(&events[0], ProviderEvent::Start { .. }));
        assert!(matches!(&events[1], ProviderEvent::TextStart { .. }));

        let texts: Vec<&str> = events[2..4]
            .iter()
            .filter_map(|e| match e {
                ProviderEvent::TextDelta { delta, .. } => Some(delta.as_str()),
                _ => None,
            })
            .collect();
        assert_eq!(texts, vec!["Hello", " world"]);

        assert!(matches!(
            &events[4],
            ProviderEvent::Done {
                reason: StopReason::Stop,
                ..
            }
        ));
    }
}