1package provider
2
3import (
4 "bytes"
5 "context"
6 "encoding/base64"
7 "encoding/json"
8 "fmt"
9 "io"
10 "net/http"
11 "regexp"
12 "strings"
13 "time"
14)
15
16const openaiDefaultBaseURL = "https://api.openai.com"
17
18// versionSegmentSuffix matches a trailing API version segment such as
19// "/v1" or Z.AI's "/v4".
20var versionSegmentSuffix = regexp.MustCompile(`/v\d+$`)
21
22// chatCompletionsURL builds the chat-completions endpoint for an
23// OpenAI-compatible base URL. A base that already carries an API
24// version segment gets "/chat/completions" appended directly; a bare
25// host (e.g. api.openai.com) gets the conventional "/v1/chat/completions".
26//
27// Matching any "/vN" segment (not just "/v1") keeps Z.AI's coding-plan
28// base, which ends in "/paas/v4", from getting a spurious "/v1" that
29// yields ".../paas/v4/v1/chat/completions" and a 404.
30func chatCompletionsURL(baseURL string) string {
31 if versionSegmentSuffix.MatchString(baseURL) {
32 return baseURL + "/chat/completions"
33 }
34 return baseURL + "/v1/chat/completions"
35}
36
37type openaiClient struct {
38 apiKey string
39 baseURL string
40 chatCompletionsPath string
41 name string
42 oauth bool // when true, apiKey actually holds an OAuth access token
43 headers map[string]string
44 http *http.Client
45}
46
47// NewOpenAI creates an OpenAI client using an API key. baseURL may be empty.
48func NewOpenAI(apiKey, baseURL string) Client {
49 if baseURL == "" {
50 baseURL = openaiDefaultBaseURL
51 }
52 return &openaiClient{
53 apiKey: apiKey,
54 baseURL: strings.TrimRight(baseURL, "/"),
55 name: "openai",
56 http: &http.Client{Timeout: 0},
57 }
58}
59
60// NewOpenAIOAuth creates an OpenAI client using a subscription OAuth access token.
61// The token is sent as an HTTP Bearer credential on the standard chat/completions endpoint.
62func NewOpenAIOAuth(accessToken, baseURL string) Client {
63 if baseURL == "" {
64 baseURL = openaiDefaultBaseURL
65 }
66 return &openaiClient{
67 apiKey: accessToken,
68 baseURL: strings.TrimRight(baseURL, "/"),
69 name: "openai",
70 oauth: true,
71 http: &http.Client{Timeout: 0},
72 }
73}
74
75// NewKimi creates a Kimi/Moonshot client. Kimi's chat API is OpenAI-compatible.
76func NewKimi(apiKey, baseURL string) Client {
77 return NewKimiWithHeaders(apiKey, baseURL, nil)
78}
79
80// NewDeepSeek creates a DeepSeek client. DeepSeek's chat API is
81// OpenAI-compatible at https://api.deepseek.com/v1.
82func NewDeepSeek(apiKey, baseURL string) Client {
83 if baseURL == "" {
84 baseURL = "https://api.deepseek.com/v1"
85 }
86 return &openaiClient{
87 apiKey: apiKey,
88 baseURL: strings.TrimRight(baseURL, "/"),
89 name: "deepseek",
90 http: &http.Client{Timeout: 0},
91 }
92}
93
94// NewKimiWithHeaders creates a Kimi/Moonshot client with extra headers.
95// Subscription tokens from Kimi Code need the official CLI's X-Msh-* headers.
96func NewKimiWithHeaders(apiKey, baseURL string, headers map[string]string) Client {
97 if baseURL == "" {
98 baseURL = "https://api.kimi.com/coding/v1"
99 }
100 return &openaiClient{
101 apiKey: apiKey,
102 baseURL: strings.TrimRight(baseURL, "/"),
103 name: "kimi",
104 headers: headers,
105 http: &http.Client{Timeout: 0},
106 }
107}
108
109func (c *openaiClient) Name() string {
110 if c.name != "" {
111 return c.name
112 }
113 return "openai"
114}
115
116// ---- wire types ----
117
118type oaiContentText struct {
119 Type string `json:"type"` // "text"
120 Text string `json:"text"`
121}
122
123type oaiContentImage struct {
124 Type string `json:"type"` // "image_url"
125 ImageURL struct {
126 URL string `json:"url"`
127 } `json:"image_url"`
128}
129
130type oaiToolCallFn struct {
131 Name string `json:"name"`
132 Arguments string `json:"arguments"` // JSON string
133}
134
135type oaiToolCall struct {
136 ID string `json:"id"`
137 Type string `json:"type"` // "function"
138 Function oaiToolCallFn `json:"function"`
139}
140
141type oaiMessage struct {
142 Role string `json:"role"`
143 Content interface{} `json:"content,omitempty"` // string or []block
144 Name string `json:"name,omitempty"`
145 ToolCalls []oaiToolCall `json:"tool_calls,omitempty"`
146 ToolCallID string `json:"tool_call_id,omitempty"`
147 Tools []oaiTool `json:"tools,omitempty"`
148 // ReasoningContent carries the model's chain-of-thought summary
149 // alongside an assistant tool-call message. Required by Kimi's
150 // chat completions endpoint when thinking is enabled and the
151 // assistant message contains a tool call; OpenAI ignores it.
152 ReasoningContent string `json:"reasoning_content,omitempty"`
153}
154
155type oaiTool struct {
156 Type string `json:"type"` // "function"
157 Function struct {
158 Name string `json:"name"`
159 Description string `json:"description,omitempty"`
160 Parameters json.RawMessage `json:"parameters"`
161 } `json:"function"`
162}
163
164type oaiStreamOptions struct {
165 IncludeUsage bool `json:"include_usage"`
166}
167
168type oaiRequest struct {
169 Model string `json:"model"`
170 Messages []oaiMessage `json:"messages"`
171 Tools []oaiTool `json:"tools,omitempty"`
172 ToolChoice string `json:"tool_choice,omitempty"`
173 Stream bool `json:"stream"`
174 StreamOptions *oaiStreamOptions `json:"stream_options,omitempty"`
175 Temperature *float32 `json:"temperature,omitempty"`
176 MaxTokens *int `json:"max_tokens,omitempty"`
177 MaxCompletionTok *int `json:"max_completion_tokens,omitempty"`
178 ReasoningEffort string `json:"reasoning_effort,omitempty"`
179 ServiceTier string `json:"service_tier,omitempty"`
180}
181
182// ---- request building ----
183
184func (c *openaiClient) buildRequest(req Request) (*oaiRequest, error) {
185 if err := ValidateFastMode(c.Name(), req.FastMode); err != nil {
186 return nil, err
187 }
188 // The OpenAI wire client is shared by many providers, so prefer its own
189 // provider namespace before falling back to a provider-agnostic lookup.
190 m, err := FindModel(c.Name(), req.Model)
191 if err != nil {
192 m, err = FindModel("", req.Model)
193 }
194 if err != nil {
195 // Unknown model: use sensible defaults so local/custom
196 // models still work without a catalog entry.
197 m = Model{
198 ID: req.Model,
199 ContextWindow: 32768,
200 MaxOutput: 8192,
201 }
202 }
203 reasoning := ClampReasoningForModel(m, req.Reasoning)
204 out := &oaiRequest{
205 Model: req.Model,
206 Stream: true,
207 StreamOptions: &oaiStreamOptions{IncludeUsage: true},
208 Temperature: req.Temperature,
209 }
210 if req.FastMode {
211 out.ServiceTier = fastModeServiceTier
212 }
213
214 maxTok := req.MaxTokens
215 if maxTok <= 0 {
216 maxTok = m.MaxOutput
217 }
218 // Clamp max_tokens so output plus a minimum input reservation fits
219 // within the context window. Some providers (OpenRouter) enforce
220 // input + max_output <= context_length and reject requests where the
221 // total exceeds it. Reserving headroom guarantees the system prompt,
222 // first message, and tool definitions have room.
223 //
224 // The cap is derived from the context window, never from MaxOutput:
225 // MaxOutput is already the output ceiling, so subtracting from it
226 // would shrink every model's budget even when its output comfortably
227 // fits the window. We only lower maxTok when ContextWindow - reserve
228 // is actually tighter than the requested budget, which is exactly the
229 // pathological case (e.g. a model whose MaxOutput equals its window).
230 //
231 // The reserve is proportional (window/8, capped at 4096) rather than a
232 // flat 4096 so small-window models aren't over-penalized: a flat 4096
233 // would halve gpt-4's 8192 budget, while window/8 reserves a sensible
234 // 1024 there and still tops out at 4096 for large contexts.
235 //
236 // Some providers (OpenRouter) report inflated model-level context
237 // windows (e.g. 1000000) while the serving provider enforces a much
238 // tighter limit (e.g. 262144). Discovery already prefers the serving
239 // provider's smaller context_length, so m.ContextWindow is the real
240 // limit by the time we get here.
241 if m.ContextWindow > 0 {
242 reserve := m.ContextWindow / 8
243 const maxReserve = 4096
244 if reserve > maxReserve {
245 reserve = maxReserve
246 }
247 clamped := m.ContextWindow - reserve
248 if clamped < 1 {
249 clamped = 1
250 }
251 if maxTok > clamped {
252 maxTok = clamped
253 }
254 }
255 if m.Reasoning {
256 if maxTok > 0 {
257 out.MaxCompletionTok = &maxTok
258 }
259 effort := OpenAIReasoningEffort(reasoning)
260 if usesAdaptiveThinking(m) {
261 // Some gateways expose adaptive-thinking Anthropic models through
262 // the OpenAI-compatible chat-completions wire. They accept the
263 // same reasoning_effort knob, including the top "xhigh" tier;
264 // don't clamp zut's "maximum" to "high" for those models.
265 effort = OpenAICompatAnthropicEffort(reasoning)
266 }
267 if effort != "" {
268 out.ReasoningEffort = effort
269 }
270 } else if maxTok > 0 {
271 // Omit max_tokens when unknown (some discovered models don't
272 // advertise an output cap) so the server applies its own default
273 // instead of receiving an invalid max_tokens: 0.
274 out.MaxTokens = &maxTok
275 }
276
277 if req.System != "" {
278 out.Messages = append(out.Messages, oaiMessage{Role: "system", Content: req.System})
279 }
280
281 deferredMode := isKimiDeferredModel(req.Model)
282 toolByName := make(map[string]Tool, len(req.Tools))
283 for _, t := range req.Tools {
284 toolByName[t.Name] = t
285 }
286 activatedTools := activatedToolNames(req.Messages)
287
288 // DeepSeek's chat-completions API rejects the multimodal content
289 // schema (parts arrays containing image_url). Force every user/tool
290 // message to a plain string and silently drop image blocks for
291 // this provider so historical sessions with screenshots still replay.
292 textOnly := c.name == "deepseek"
293
294 req.Messages = RepairOrphanedToolResults(req.Messages)
295 for _, msg := range req.Messages {
296 switch msg.Role {
297 case RoleUser:
298 content := buildOAIUserContent(msg.Content, textOnly)
299 out.Messages = append(out.Messages, oaiMessage{Role: "user", Content: content})
300 case RoleAssistant:
301 am := oaiMessage{Role: "assistant"}
302 var text strings.Builder
303 var reasoning strings.Builder
304 for _, b := range msg.Content {
305 switch v := b.(type) {
306 case TextBlock:
307 if strings.TrimSpace(v.Text) == "" {
308 continue
309 }
310 if text.Len() > 0 {
311 text.WriteString("\n")
312 }
313 text.WriteString(v.Text)
314 case ToolCallBlock:
315 args := v.Arguments
316 if len(args) == 0 || !json.Valid(args) {
317 args = json.RawMessage("{}")
318 }
319 am.ToolCalls = append(am.ToolCalls, oaiToolCall{
320 ID: v.ID,
321 Type: "function",
322 Function: oaiToolCallFn{
323 Name: v.Name,
324 Arguments: string(args),
325 },
326 })
327 case ReasoningBlock:
328 if v.Summary != "" {
329 if reasoning.Len() > 0 {
330 reasoning.WriteString("\n")
331 }
332 reasoning.WriteString(v.Summary)
333 }
334 }
335 }
336 if text.Len() > 0 {
337 am.Content = text.String()
338 }
339 if reasoning.Len() > 0 && len(am.ToolCalls) > 0 {
340 am.ReasoningContent = reasoning.String()
341 }
342 // Kimi rejects assistant messages with neither visible text nor
343 // tool calls ("assistant must not be empty"). This can happen when
344 // a previous stream produced only reasoning_content, which zut keeps
345 // internally for provider replay but cannot send back as standalone
346 // assistant content on OpenAI-compatible chat-completions APIs.
347 if am.Content == nil && len(am.ToolCalls) == 0 {
348 continue
349 }
350 out.Messages = append(out.Messages, am)
351 case RoleTool:
352 // Each ToolResultBlock becomes its own tool message. Preserve
353 // image blocks for vision-capable OpenAI models instead of
354 // flattening the tool output to plain text.
355 for _, b := range msg.Content {
356 if tr, ok := b.(ToolResultBlock); ok {
357 content := buildOAIToolContent(tr.Content, tr.IsError, textOnly)
358 out.Messages = append(out.Messages, oaiMessage{
359 Role: "tool",
360 ToolCallID: tr.CallID,
361 Content: content,
362 })
363 }
364 }
365 }
366 if deferredMode {
367 var loaded []oaiTool
368 for _, name := range msg.AddedToolNames {
369 if t, ok := toolByName[name]; ok && t.Deferred {
370 loaded = append(loaded, makeOAITool(t))
371 }
372 }
373 if len(loaded) > 0 {
374 out.Messages = append(out.Messages, oaiMessage{Role: "system", Tools: loaded})
375 }
376 }
377 }
378
379 for _, t := range req.Tools {
380 if t.Deferred && (deferredMode || !activatedTools[t.Name]) {
381 continue
382 }
383 out.Tools = append(out.Tools, makeOAITool(t))
384 }
385 if len(out.Tools) > 0 {
386 out.ToolChoice = "auto"
387 }
388
389 return out, nil
390}
391
392func isKimiDeferredModel(model string) bool {
393 model = strings.ToLower(model)
394 return model == "kimi-k3" || strings.HasSuffix(model, "/kimi-k3")
395}
396
397func makeOAITool(t Tool) oaiTool {
398 var tool oaiTool
399 tool.Type = "function"
400 tool.Function.Name = t.Name
401 tool.Function.Description = t.Description
402 tool.Function.Parameters = t.Schema
403 return tool
404}
405
406func buildOAIUserContent(blocks []Content, textOnly bool) interface{} {
407 hasImage := false
408 for _, b := range blocks {
409 if _, ok := b.(ImageBlock); ok {
410 hasImage = true
411 break
412 }
413 }
414 if textOnly || !hasImage {
415 var sb strings.Builder
416 for _, b := range blocks {
417 if tb, ok := b.(TextBlock); ok {
418 if sb.Len() > 0 {
419 sb.WriteString("\n")
420 }
421 sb.WriteString(tb.Text)
422 }
423 }
424 return sb.String()
425 }
426 return buildOAIContentBlocks(blocks, false)
427}
428
429func buildOAIToolContent(blocks []Content, isError, textOnly bool) interface{} {
430 hasImage := false
431 for _, b := range blocks {
432 if _, ok := b.(ImageBlock); ok {
433 hasImage = true
434 break
435 }
436 }
437 if textOnly || !hasImage {
438 var sb strings.Builder
439 for _, b := range blocks {
440 if tb, ok := b.(TextBlock); ok {
441 if sb.Len() > 0 {
442 sb.WriteString("\n")
443 }
444 sb.WriteString(tb.Text)
445 }
446 }
447 if isError && sb.Len() > 0 {
448 sb.WriteString(" [error]")
449 }
450 return sb.String()
451 }
452 return buildOAIContentBlocks(blocks, isError)
453}
454
455func buildOAIContentBlocks(blocks []Content, isError bool) []interface{} {
456 var arr []interface{}
457 for _, b := range blocks {
458 switch v := b.(type) {
459 case TextBlock:
460 arr = append(arr, oaiContentText{Type: "text", Text: v.Text})
461 case ImageBlock:
462 var img oaiContentImage
463 img.Type = "image_url"
464 img.ImageURL.URL = "data:" + v.MimeType + ";base64," + base64.StdEncoding.EncodeToString(v.Data)
465 arr = append(arr, img)
466 }
467 }
468 if isError {
469 arr = append(arr, oaiContentText{Type: "text", Text: "[error]"})
470 }
471 return arr
472}
473
474// ---- streaming ----
475
476func (c *openaiClient) chatCompletionsURL() string {
477 if c.chatCompletionsPath != "" {
478 return strings.TrimRight(c.baseURL, "/") + "/" + strings.TrimLeft(c.chatCompletionsPath, "/")
479 }
480 return chatCompletionsURL(c.baseURL)
481}
482
483func (c *openaiClient) Stream(ctx context.Context, req Request) (<-chan Event, error) {
484 endpoint := c.chatCompletionsURL()
485 wire, err := c.buildRequest(req)
486 if err != nil {
487 return nil, err
488 }
489 body, err := json.Marshal(wire)
490 if err != nil {
491 return nil, err
492 }
493 newReq := func() (*http.Request, error) {
494 httpReq, err := http.NewRequestWithContext(ctx, "POST", endpoint, bytes.NewReader(body))
495 if err != nil {
496 return nil, err
497 }
498 httpReq.Header.Set("content-type", "application/json")
499 httpReq.Header.Set("accept", "text/event-stream")
500 httpReq.Header.Set("authorization", "Bearer "+c.apiKey)
501 for k, v := range c.headers {
502 httpReq.Header.Set(k, v)
503 }
504 return httpReq, nil
505 }
506
507 resp, err := doStreamWithRetry(ctx, c.http, newReq, req.Lifecycle)
508 if err != nil {
509 return nil, fmt.Errorf("%s: %w", c.Name(), err)
510 }
511 if resp.StatusCode != http.StatusOK {
512 b, _ := io.ReadAll(resp.Body)
513 resp.Body.Close()
514 return nil, fmt.Errorf("%s: http %d: %s", c.Name(), resp.StatusCode, strings.TrimSpace(string(b)))
515 }
516
517 out := make(chan Event, 16)
518 go c.runStream(ctx, resp, req, out)
519 return out, nil
520}
521
522func (c *openaiClient) runStream(ctx context.Context, resp *http.Response, req Request, out chan<- Event) {
523 defer close(out)
524 defer resp.Body.Close()
525
526 model, _ := FindModel("", req.Model)
527 out <- EventStart{Model: req.Model, Provider: c.Name()}
528
529 raw := make(chan sseEvent, 16)
530 go readSSE(resp.Body, raw)
531
532 // Interleaved block tracking: text and tool_calls preserve their
533 // emission order so the assistant message renders in the same order
534 // the model produced it. The builder fires one kind of block at a
535 // time — incoming text deltas after a tool_call split into a fresh
536 // text block; subsequent tool_calls each get their own slot.
537 type blockEntry struct {
538 kind string // "text" | "tool_use"
539 textBuf strings.Builder
540 toolID string
541 toolName string
542 toolArgs strings.Builder
543 announced bool
544 }
545 var (
546 blocks []*blockEntry
547 currentText *blockEntry // most-recent text block, nil if none
548 toolByIdx = map[int]*blockEntry{} // openai tool_call index -> block
549 reasoningBuf strings.Builder
550 usage Usage
551 stop = StopEnd
552 finalErr error
553 )
554
555 appendText := func(delta string) {
556 if currentText == nil {
557 currentText = &blockEntry{kind: "text"}
558 blocks = append(blocks, currentText)
559 }
560 currentText.textBuf.WriteString(delta)
561 }
562
563 getOrCreateTool := func(idx int) *blockEntry {
564 if t, ok := toolByIdx[idx]; ok {
565 return t
566 }
567 t := &blockEntry{kind: "tool_use"}
568 toolByIdx[idx] = t
569 blocks = append(blocks, t)
570 // A new tool block breaks the current text block. Subsequent text
571 // deltas will start a fresh text block after this tool.
572 currentText = nil
573 return t
574 }
575
576 assembleMsg := func() Message {
577 content := []Content{}
578 for _, b := range blocks {
579 switch b.kind {
580 case "text":
581 if b.textBuf.Len() > 0 {
582 content = append(content, TextBlock{Text: b.textBuf.String()})
583 }
584 case "tool_use":
585 args := b.toolArgs.String()
586 if args == "" || !json.Valid([]byte(args)) {
587 args = "{}"
588 }
589 content = append(content, ToolCallBlock{
590 ID: b.toolID, Name: b.toolName, Arguments: json.RawMessage(args),
591 })
592 }
593 }
594 if reasoningBuf.Len() > 0 {
595 content = append(content, ReasoningBlock{Summary: reasoningBuf.String()})
596 }
597 return Message{Role: RoleAssistant, Content: content, Time: time.Now()}
598 }
599
600 sendDone := func() {
601 usage.CostUSD = ComputeCost(model, usage)
602 out <- EventUsage{Usage: usage}
603 out <- EventDone{Stop: stop, Err: finalErr, Message: assembleMsg()}
604 }
605
606 for {
607 select {
608 case <-ctx.Done():
609 stop = StopAborted
610 finalErr = ctx.Err()
611 sendDone()
612 return
613 case ev, ok := <-raw:
614 if !ok {
615 sendDone()
616 return
617 }
618 if ev.Data == "[DONE]" {
619 sendDone()
620 return
621 }
622 var chunk struct {
623 Choices []struct {
624 Index int `json:"index"`
625 Delta struct {
626 Content string `json:"content"`
627 ReasoningContent string `json:"reasoning_content"`
628 ToolCalls []struct {
629 Index int `json:"index"`
630 ID string `json:"id"`
631 Type string `json:"type"`
632 Function struct {
633 Name string `json:"name"`
634 Arguments string `json:"arguments"`
635 } `json:"function"`
636 } `json:"tool_calls"`
637 } `json:"delta"`
638 FinishReason string `json:"finish_reason"`
639 } `json:"choices"`
640 Usage *struct {
641 PromptTokens int `json:"prompt_tokens"`
642 CompletionTokens int `json:"completion_tokens"`
643 PromptTokensDetails struct {
644 CachedTokens int `json:"cached_tokens"`
645 } `json:"prompt_tokens_details"`
646 CompletionTokensDetails *struct {
647 ReasoningTokens int `json:"reasoning_tokens"`
648 } `json:"completion_tokens_details"`
649 } `json:"usage"`
650 Error *struct {
651 Message string `json:"message"`
652 Type string `json:"type"`
653 } `json:"error"`
654 }
655 if err := json.Unmarshal([]byte(ev.Data), &chunk); err != nil {
656 continue
657 }
658 if chunk.Error != nil {
659 stop = StopError
660 finalErr = fmt.Errorf("openai: %s", chunk.Error.Message)
661 sendDone()
662 return
663 }
664 if chunk.Usage != nil {
665 usage.InputTokens = chunk.Usage.PromptTokens - chunk.Usage.PromptTokensDetails.CachedTokens
666 if usage.InputTokens < 0 {
667 usage.InputTokens = chunk.Usage.PromptTokens
668 }
669 usage.OutputTokens = chunk.Usage.CompletionTokens
670 usage.CacheReadTokens = chunk.Usage.PromptTokensDetails.CachedTokens
671 if details := chunk.Usage.CompletionTokensDetails; details != nil {
672 usage.ReasoningTokens = details.ReasoningTokens
673 usage.ReasoningTokensKnown = true
674 }
675 }
676 for _, ch := range chunk.Choices {
677 if ch.Delta.ReasoningContent != "" {
678 reasoningBuf.WriteString(ch.Delta.ReasoningContent)
679 }
680 if ch.Delta.Content != "" {
681 appendText(ch.Delta.Content)
682 out <- EventTextDelta{Delta: ch.Delta.Content}
683 }
684 for _, tc := range ch.Delta.ToolCalls {
685 t := getOrCreateTool(tc.Index)
686 if tc.ID != "" {
687 t.toolID = tc.ID
688 }
689 if tc.Function.Name != "" {
690 t.toolName = tc.Function.Name
691 }
692 if !t.announced && t.toolID != "" && t.toolName != "" {
693 t.announced = true
694 out <- EventToolStart{ID: t.toolID, Name: t.toolName}
695 }
696 if tc.Function.Arguments != "" {
697 t.toolArgs.WriteString(tc.Function.Arguments)
698 if t.announced {
699 out <- EventToolArgs{ID: t.toolID, Delta: tc.Function.Arguments}
700 }
701 }
702 }
703 switch ch.FinishReason {
704 case "stop":
705 stop = StopEnd
706 case "length":
707 stop = StopLength
708 case "tool_calls", "function_call":
709 stop = StopToolUse
710 for _, b := range blocks {
711 if b.kind == "tool_use" && b.announced {
712 out <- EventToolEnd{ID: b.toolID}
713 }
714 }
715 }
716 }
717 }
718 }
719}