oxi-ai 0.3.0-alpha

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
//! Cloudflare Workers AI provider implementation

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

use crate::{
    error::ProviderError, Api, AssistantMessage, ContentBlock, Context, Model, Provider,
    ProviderEvent, StopReason, StreamOptions, Usage,
};

/// Cloudflare Workers AI provider
#[derive(Clone)]
pub struct CloudflareProvider {
    client: Client,
    api_token: Option<String>,
    account_id: Option<String>,
}

impl CloudflareProvider {
    /// Create a new Cloudflare provider using environment variables
    pub fn new() -> Self {
        Self {
            client: Client::new(),
            api_token: std::env::var("CLOUDFLARE_API_TOKEN").ok(),
            account_id: std::env::var("CLOUDFLARE_ACCOUNT_ID").ok(),
        }
    }

    /// Create with explicit credentials
    #[allow(dead_code)]
    pub fn with_credentials(api_token: impl Into<String>, account_id: impl Into<String>) -> Self {
        Self {
            client: Client::new(),
            api_token: Some(api_token.into()),
            account_id: Some(account_id.into()),
        }
    }

    /// Create a model configuration for Cloudflare Workers AI
    ///
    /// The model_id should be the name of the model to use (e.g., "@cf/meta/llama-3.1-8b-instruct").
    /// If gateway_id is provided, uses the Cloudflare AI Gateway endpoint.
    /// Otherwise uses direct Workers AI endpoint.
    #[allow(dead_code)]
    pub fn model<S: Into<String>>(&self, model_id: S) -> Model {
        let id = model_id.into();
        let base_url = if self.account_id.is_some() {
            format!(
                "https://api.cloudflare.com/client/v4/accounts/{}/workers/ai/v1",
                self.account_id.as_ref().unwrap()
            )
        } else {
            "https://api.cloudflare.com/client/v4/workers/ai/v1".to_string()
        };

        Model::new(&id, &id, Api::OpenAiCompletions, "cloudflare", &base_url)
    }

    /// Create a model with AI Gateway
    #[allow(dead_code)]
    pub fn model_with_gateway<S: Into<String>>(
        &self,
        model_id: S,
        gateway_id: &str,
    ) -> Option<Model> {
        let account_id = self.account_id.as_ref()?;
        if account_id.is_empty() {
            return None;
        }
        let id = model_id.into();
        let base_url = format!(
            "https://api.cloudflare.com/client/v4/accounts/{}/ai/gateways/{}/v1",
            account_id, gateway_id
        );

        Some(Model::new(
            &id,
            &id,
            Api::OpenAiCompletions,
            "cloudflare",
            &base_url,
        ))
    }
}

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

#[async_trait]
impl Provider for CloudflareProvider {
    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 URL
        let url = format!("{}/chat/completions", model.base_url);

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

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

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

        // 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_tools(&context.tools)?;
        }

        // Build headers
        let mut headers = reqwest::header::HeaderMap::new();
        headers.insert(
            reqwest::header::AUTHORIZATION,
            format!("Bearer {}", api_token).parse().unwrap(),
        );
        headers.insert(
            reqwest::header::CONTENT_TYPE,
            "application/json".parse().unwrap(),
        );

        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 provider_name = model.provider.clone();
        let model_id = model.id.clone();

        let stream = response.bytes_stream().flat_map(
            move |chunk: Result<Bytes, reqwest::Error>| match chunk {
                Ok(bytes) => {
                    let text = String::from_utf8_lossy(&bytes).to_string();
                    futures::stream::iter(parse_sse_events(&text, &provider_name, &model_id))
                }
                Err(e) => futures::stream::iter(vec![ProviderEvent::Error {
                    reason: StopReason::Error,
                    error: create_error_message(&e.to_string(), &provider_name, &model_id),
                }]),
            },
        );

        Ok(Box::pin(stream))
    }

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

/// Build messages array from context
fn build_messages(context: &Context) -> Result<Vec<JsonValue>, ProviderError> {
    let mut messages = Vec::new();

    // System prompt
    if let Some(ref prompt) = context.system_prompt {
        messages.push(serde_json::json!({
            "role": "system",
            "content": prompt,
        }));
    }

    // Conversation messages
    for msg in &context.messages {
        match msg {
            crate::Message::User(u) => {
                let content: String = match &u.content {
                    crate::MessageContent::Text(s) => s.clone(),
                    crate::MessageContent::Blocks(blocks) => blocks_to_content(blocks)?.to_string(),
                };
                messages.push(serde_json::json!({
                    "role": "user",
                    "content": content,
                }));
            }
            crate::Message::Assistant(a) => {
                let content = blocks_to_content(&a.content)?.to_string();
                messages.push(serde_json::json!({
                    "role": "assistant",
                    "content": content,
                }));
            }
            crate::Message::ToolResult(t) => {
                let content = blocks_to_content(&t.content)?.to_string();
                messages.push(serde_json::json!({
                    "role": "tool",
                    "tool_call_id": t.tool_call_id,
                    "tool_name": t.tool_name,
                    "content": content,
                }));
            }
        }
    }

    Ok(messages)
}

/// Convert content blocks to a string representation
fn blocks_to_content(blocks: &[ContentBlock]) -> Result<JsonValue, ProviderError> {
    if blocks.len() == 1 {
        if let Some(text) = blocks[0].as_text() {
            return Ok(JsonValue::String(text.to_string()));
        }
    }

    let items: Result<Vec<_>, _> = blocks
        .iter()
        .map(|block| match block {
            ContentBlock::Text(t) => Ok(serde_json::json!({
                "type": "text",
                "text": t.text,
            })),
            ContentBlock::ToolCall(tc) => Ok(serde_json::json!({
                "type": "function",
                "id": tc.id,
                "function": {
                    "name": tc.name,
                    "arguments": tc.arguments.to_string(),
                },
            })),
            ContentBlock::Thinking(th) => Ok(serde_json::json!({
                "type": "thinking",
                "thinking": th.thinking,
            })),
            ContentBlock::Image(img) => Ok(serde_json::json!({
                "type": "image_url",
                "image_url": {
                    "url": format!("data:{};base64,{}", img.mime_type, img.data),
                },
            })),
            ContentBlock::Unknown(_) => Err(ProviderError::InvalidResponse(
                "Unknown content block type".into(),
            )),
        })
        .collect();

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

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

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

/// Parse SSE event stream from a byte buffer.
fn parse_sse_events(text: &str, provider: &str, model_id: &str) -> Vec<ProviderEvent> {
    let mut events = Vec::new();
    let partial_message = AssistantMessage::new(Api::OpenAiCompletions, provider, model_id);

    // Pre-estimate capacity
    let estimated_events = text.split('\n').filter(|l| l.starts_with("data: ")).count();
    events.reserve(estimated_events);

    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]" {
            break;
        }

        if data.is_empty() {
            continue;
        }

        let chunk = match serde_json::from_str::<SSEChunk>(data) {
            Ok(c) => c,
            Err(_) => continue,
        };

        for choice in &chunk.choices {
            if let Some(delta) = &choice.delta {
                if let Some(content) = &delta.content {
                    events.push(ProviderEvent::TextDelta {
                        content_index: choice.index,
                        delta: content.clone(),
                        partial: partial_message.clone(),
                    });
                }

                if let Some(tool_calls) = &delta.tool_calls {
                    for tc in tool_calls {
                        if let Some(func) = &tc.function {
                            events.push(ProviderEvent::ToolCallDelta {
                                content_index: choice.index,
                                delta: func.arguments.clone().unwrap_or_default(),
                                partial: partial_message.clone(),
                            });
                        }
                    }
                }
            }
        }

        // Update accumulated usage (before checking finish to ensure usage is available)
        if let Some(chunk_usage) = chunk.usage {
            accumulated_usage.input = chunk_usage.prompt_tokens;
            accumulated_usage.output = chunk_usage.completion_tokens;
            accumulated_usage.cache_read = chunk_usage
                .prompt_tokens_details
                .as_ref()
                .and_then(|d| d.cached_tokens)
                .unwrap_or(0);
            accumulated_usage.total_tokens = chunk_usage.total_tokens;
        }

        // Check for finish after updating usage
        for choice in &chunk.choices {
            if choice.finish_reason.is_some() {
                let reason = match choice.finish_reason.as_deref() {
                    Some("stop") => StopReason::Stop,
                    Some("length") => StopReason::Length,
                    Some("tool_calls") => StopReason::ToolUse,
                    Some("end_turn") => 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,
                });
            }
        }
    }

    events
}

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

// SSE chunk structure
#[derive(Debug, Deserialize)]
#[allow(dead_code)]
struct SSEChunk {
    id: Option<String>,
    #[serde(rename = "model")]
    model: Option<String>,
    choices: Vec<Choice>,
    usage: Option<UsageInfo>,
}

#[derive(Debug, Deserialize)]
struct Choice {
    index: usize,
    delta: Option<Delta>,
    finish_reason: Option<String>,
}

#[derive(Debug, Deserialize)]
struct Delta {
    content: Option<String>,
    tool_calls: Option<Vec<ToolCallDelta>>,
}

#[derive(Debug, Deserialize)]
#[allow(dead_code)]
struct ToolCallDelta {
    index: Option<usize>,
    id: Option<String>,
    #[serde(rename = "type")]
    type_: Option<String>,
    function: Option<FunctionDelta>,
}

#[derive(Debug, Deserialize)]
#[allow(dead_code)]
struct FunctionDelta {
    name: Option<String>,
    arguments: Option<String>,
}

#[derive(Debug, Deserialize, Clone)]
struct UsageInfo {
    prompt_tokens: usize,
    completion_tokens: usize,
    total_tokens: usize,
    #[serde(rename = "prompt_tokens_details")]
    prompt_tokens_details: Option<PromptTokensDetails>,
}

#[derive(Debug, Deserialize, Clone)]
struct PromptTokensDetails {
    #[serde(rename = "cached_tokens")]
    cached_tokens: Option<usize>,
}

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

    // Test 1: Provider creation with env vars
    #[test]
    fn test_provider_new() {
        let provider = CloudflareProvider::new();
        assert_eq!(provider.name(), "cloudflare");
        // Without env vars, api_token and account_id are None
        assert!(provider.api_token.is_none());
        assert!(provider.account_id.is_none());
    }

    // Test 2: Provider creation with explicit credentials
    #[test]
    fn test_provider_with_credentials() {
        let provider = CloudflareProvider::with_credentials("test-api-token", "test-account-id");
        assert_eq!(provider.api_token.as_deref(), Some("test-api-token"));
        assert_eq!(provider.account_id.as_deref(), Some("test-account-id"));
    }

    // Test 3: Model creation without account ID (direct Workers AI)
    #[test]
    fn test_model_direct_workers_ai() {
        let provider = CloudflareProvider::with_credentials("test-api-token", "");
        let model = provider.model("@cf/meta/llama-3.1-8b-instruct");
        assert_eq!(model.provider, "cloudflare");
        assert_eq!(model.id, "@cf/meta/llama-3.1-8b-instruct");
        assert!(model.base_url.contains("workers/ai/v1"));
    }

    // Test 4: Model creation with account ID
    #[test]
    fn test_model_with_account_id() {
        let provider = CloudflareProvider::with_credentials("test-api-token", "abc123account");
        let model = provider.model("@cf/meta/llama-3.1-8b-instruct");
        assert!(model.base_url.contains("accounts/abc123account"));
    }

    // Test 5: Model creation with AI Gateway
    #[test]
    fn test_model_with_gateway() {
        let provider = CloudflareProvider::with_credentials("test-api-token", "abc123account");
        let model = provider.model_with_gateway("@cf/meta/llama-3.1-8b-instruct", "my-gateway");
        assert!(model.is_some());
        let model = model.unwrap();
        assert!(model.base_url.contains("ai/gateways/my-gateway/v1"));
    }

    // Test 6: Model creation with gateway returns None when no account ID
    #[test]
    fn test_model_with_gateway_no_account_id() {
        let provider = CloudflareProvider::with_credentials("test-api-token", "");
        let model = provider.model_with_gateway("@cf/meta/llama-3.1-8b-instruct", "my-gateway");
        assert!(model.is_none());
    }

    // Test 7: Build messages from context
    #[test]
    fn test_build_messages() {
        use crate::Message;

        let mut context = Context::new();
        context.set_system_prompt("You are a helpful assistant");
        context.add_message(Message::user("Hello"));

        let messages = build_messages(&context).unwrap();
        assert_eq!(messages.len(), 2); // system + user
        assert_eq!(messages[0]["role"], "system");
        assert_eq!(messages[1]["role"], "user");
        assert_eq!(messages[1]["content"], "Hello");
    }

    // Test 8: Build messages with tool result
    #[test]
    fn test_build_messages_with_tool_result() {
        use crate::Message;

        let context = Context::new();
        let messages = build_messages(&context).unwrap();
        // Empty context should produce empty messages (no system prompt, no messages)
        assert!(messages.is_empty());
    }

    // Test 9: Build tools array
    #[test]
    fn test_build_tools() {
        let tools = vec![crate::Tool {
            name: "get_weather".to_string(),
            description: "Get weather for a location".to_string(),
            parameters: serde_json::json!({
                "type": "object",
                "properties": {
                    "location": {"type": "string"}
                },
                "required": ["location"]
            }),
        }];

        let tools_json = build_tools(&tools).unwrap();
        assert_eq!(tools_json[0]["type"], "function");
        assert_eq!(tools_json[0]["function"]["name"], "get_weather");
        assert_eq!(
            tools_json[0]["function"]["description"],
            "Get weather for a location"
        );
    }

    // Test 10: Default implementation
    #[test]
    fn test_default_implementation() {
        let provider = CloudflareProvider::default();
        assert_eq!(provider.name(), "cloudflare");
    }

    // Test 11: SSE parsing with text delta
    #[test]
    fn test_parse_sse_text_delta() {
        let data = r#"data: {"id":"1","model":"test","choices":[{"index":0,"delta":{"content":"Hello"},"finish_reason":null}]}"#;
        let events = parse_sse_events(data, "cloudflare", "test-model");

        assert!(!events.is_empty());
        // Check that we get a TextDelta event
        assert!(events
            .iter()
            .any(|e| matches!(e, ProviderEvent::TextDelta { .. })));
    }

    // Test 12: SSE parsing with done event
    #[test]
    fn test_parse_sse_done_event() {
        let data = r#"data: {"id":"1","model":"test","choices":[{"index":0,"delta":{"content":"Hi"},"finish_reason":"stop"}],"usage":{"prompt_tokens":10,"completion_tokens":5,"total_tokens":15}}"#;
        let events = parse_sse_events(data, "cloudflare", "test-model");

        let done_events: Vec<_> = events
            .iter()
            .filter(|e| matches!(e, ProviderEvent::Done { .. }))
            .collect();
        assert!(!done_events.is_empty());

        if let ProviderEvent::Done { reason, message } = &done_events[0] {
            assert_eq!(*reason, StopReason::Stop);
            assert_eq!(message.usage.total_tokens, 15);
        }
    }

    // Test 13: SSE parsing with tool call delta
    #[test]
    fn test_parse_sse_tool_call_delta() {
        let data = r#"data: {"id":"1","model":"test","choices":[{"index":0,"delta":{"tool_calls":[{"id":"call_1","function":{"name":"get_weather","arguments":"{\"location\":\"NYC\"}"}}]},"finish_reason":null}]}"#;
        let events = parse_sse_events(data, "cloudflare", "test-model");

        assert!(events
            .iter()
            .any(|e| matches!(e, ProviderEvent::ToolCallDelta { .. })));
    }

    // Test 14: SSE parsing with [DONE] sentinel
    #[test]
    fn test_parse_sse_done_sentinel() {
        let data = r#"data: {"id":"1","model":"test","choices":[{"index":0,"delta":{"content":"Done"},"finish_reason":"stop"}]}
data: [DONE]"#;
        let events = parse_sse_events(data, "cloudflare", "test-model");

        // Should parse the first chunk but stop at [DONE]
        assert!(!events.is_empty());
    }

    // Test 15: SSE parsing handles multiple chunks
    #[test]
    fn test_parse_sse_multiple_chunks() {
        let data = r#"data: {"id":"1","model":"test","choices":[{"index":0,"delta":{"content":"Hello "},"finish_reason":null}]}
data: {"id":"2","model":"test","choices":[{"index":0,"delta":{"content":"world"},"finish_reason":"stop"}]}"#;
        let events = parse_sse_events(data, "cloudflare", "test-model");

        // Should have text delta for "Hello " and another for "world"
        let text_deltas: Vec<_> = events
            .iter()
            .filter_map(|e| match e {
                ProviderEvent::TextDelta { delta, .. } => Some(delta.clone()),
                _ => None,
            })
            .collect();
        assert!(text_deltas.contains(&"Hello ".to_string()));
        assert!(text_deltas.contains(&"world".to_string()));
    }

    // Test 16: Block content with multiple blocks
    #[test]
    fn test_blocks_to_content_multiple() {
        use crate::TextContent;

        let blocks = vec![
            ContentBlock::Text(TextContent::new("Hello")),
            ContentBlock::Text(TextContent::new(" world")),
        ];

        let content = blocks_to_content(&blocks).unwrap();
        // When multiple blocks, it becomes an array
        assert!(content.is_array());
        assert_eq!(content.as_array().unwrap().len(), 2);
    }

    // Test 17: Block content with single text
    #[test]
    fn test_blocks_to_content_single_text() {
        use crate::TextContent;

        let blocks = vec![ContentBlock::Text(TextContent::new("Just text"))];

        let content = blocks_to_content(&blocks).unwrap();
        // Single text becomes a string
        assert!(content.is_string());
        assert_eq!(content.as_str().unwrap(), "Just text");
    }

    // Test 18: Clone provider
    #[test]
    fn test_provider_clone() {
        let provider = CloudflareProvider::with_credentials("token", "account");
        let cloned = provider.clone();
        assert_eq!(cloned.api_token, provider.api_token);
        assert_eq!(cloned.account_id, provider.account_id);
    }
}