mirror of
https://github.com/router-for-me/CLIProxyAPIPlus.git
synced 2026-03-10 07:43:07 +00:00
Compare commits
14 Commits
| Author | SHA1 | Date | |
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9fe6a215e6 | ||
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33e53a2a56 | ||
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cd5b80785f | ||
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54f71aa273 | ||
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3f949b7f84 | ||
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cf8b2dcc85 | ||
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8e24d9dc34 | ||
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443c4538bb | ||
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a7fc2ee4cf | ||
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8e749ac22d | ||
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69e09d9bc7 | ||
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ed57d82bc1 | ||
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06ad527e8c | ||
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671558a822 |
@@ -39,6 +39,9 @@ api-keys:
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# Enable debug logging
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debug: false
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# When true, disable high-overhead HTTP middleware features to reduce per-request memory usage under high concurrency.
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commercial-mode: false
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# Open OAuth URLs in incognito/private browser mode.
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# Useful when you want to login with a different account without logging out from your current session.
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# Default: false (but Kiro auth defaults to true for multi-account support)
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@@ -209,13 +209,15 @@ func NewServer(cfg *config.Config, authManager *auth.Manager, accessManager *sdk
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// Resolve logs directory relative to the configuration file directory.
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var requestLogger logging.RequestLogger
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var toggle func(bool)
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if optionState.requestLoggerFactory != nil {
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requestLogger = optionState.requestLoggerFactory(cfg, configFilePath)
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}
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if requestLogger != nil {
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engine.Use(middleware.RequestLoggingMiddleware(requestLogger))
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if setter, ok := requestLogger.(interface{ SetEnabled(bool) }); ok {
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toggle = setter.SetEnabled
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if !cfg.CommercialMode {
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if optionState.requestLoggerFactory != nil {
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requestLogger = optionState.requestLoggerFactory(cfg, configFilePath)
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}
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if requestLogger != nil {
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engine.Use(middleware.RequestLoggingMiddleware(requestLogger))
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if setter, ok := requestLogger.(interface{ SetEnabled(bool) }); ok {
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toggle = setter.SetEnabled
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}
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}
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}
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@@ -39,6 +39,9 @@ type Config struct {
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// Debug enables or disables debug-level logging and other debug features.
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Debug bool `yaml:"debug" json:"debug"`
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// CommercialMode disables high-overhead HTTP middleware features to minimize per-request memory usage.
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CommercialMode bool `yaml:"commercial-mode" json:"commercial-mode"`
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// LoggingToFile controls whether application logs are written to rotating files or stdout.
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LoggingToFile bool `yaml:"logging-to-file" json:"logging-to-file"`
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@@ -271,11 +271,11 @@ func ConvertAntigravityResponseToClaude(_ context.Context, _ string, originalReq
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if usageResult := gjson.GetBytes(rawJSON, "response.usageMetadata"); usageResult.Exists() {
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params.HasUsageMetadata = true
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params.PromptTokenCount = usageResult.Get("promptTokenCount").Int()
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params.CachedTokenCount = usageResult.Get("cachedContentTokenCount").Int()
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params.PromptTokenCount = usageResult.Get("promptTokenCount").Int() - params.CachedTokenCount
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params.CandidatesTokenCount = usageResult.Get("candidatesTokenCount").Int()
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params.ThoughtsTokenCount = usageResult.Get("thoughtsTokenCount").Int()
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params.TotalTokenCount = usageResult.Get("totalTokenCount").Int()
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params.CachedTokenCount = usageResult.Get("cachedContentTokenCount").Int()
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if params.CandidatesTokenCount == 0 && params.TotalTokenCount > 0 {
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params.CandidatesTokenCount = params.TotalTokenCount - params.PromptTokenCount - params.ThoughtsTokenCount
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if params.CandidatesTokenCount < 0 {
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@@ -249,8 +249,28 @@ func ConvertOpenAIRequestToAntigravity(modelName string, inputRawJSON []byte, _
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p := 0
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if content.Type == gjson.String {
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node, _ = sjson.SetBytes(node, "parts.-1.text", content.String())
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out, _ = sjson.SetRawBytes(out, "request.contents.-1", node)
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p++
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} else if content.IsArray() {
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// Assistant multimodal content (e.g. text + image) -> single model content with parts
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for _, item := range content.Array() {
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switch item.Get("type").String() {
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case "text":
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p++
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case "image_url":
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// If the assistant returned an inline data URL, preserve it for history fidelity.
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imageURL := item.Get("image_url.url").String()
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if len(imageURL) > 5 { // expect data:...
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pieces := strings.SplitN(imageURL[5:], ";", 2)
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if len(pieces) == 2 && len(pieces[1]) > 7 {
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mime := pieces[0]
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data := pieces[1][7:]
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node, _ = sjson.SetBytes(node, "parts."+itoa(p)+".inlineData.mime_type", mime)
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node, _ = sjson.SetBytes(node, "parts."+itoa(p)+".inlineData.data", data)
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p++
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}
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}
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}
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}
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}
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// Tool calls -> single model content with functionCall parts
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@@ -305,6 +325,8 @@ func ConvertOpenAIRequestToAntigravity(modelName string, inputRawJSON []byte, _
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if pp > 0 {
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out, _ = sjson.SetRawBytes(out, "request.contents.-1", toolNode)
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}
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} else {
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out, _ = sjson.SetRawBytes(out, "request.contents.-1", node)
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}
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}
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}
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@@ -87,15 +87,15 @@ func ConvertAntigravityResponseToOpenAI(_ context.Context, _ string, originalReq
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// Extract and set usage metadata (token counts).
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if usageResult := gjson.GetBytes(rawJSON, "response.usageMetadata"); usageResult.Exists() {
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cachedTokenCount := usageResult.Get("cachedContentTokenCount").Int()
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if candidatesTokenCountResult := usageResult.Get("candidatesTokenCount"); candidatesTokenCountResult.Exists() {
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template, _ = sjson.Set(template, "usage.completion_tokens", candidatesTokenCountResult.Int())
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}
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if totalTokenCountResult := usageResult.Get("totalTokenCount"); totalTokenCountResult.Exists() {
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template, _ = sjson.Set(template, "usage.total_tokens", totalTokenCountResult.Int())
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}
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promptTokenCount := usageResult.Get("promptTokenCount").Int()
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promptTokenCount := usageResult.Get("promptTokenCount").Int() - cachedTokenCount
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thoughtsTokenCount := usageResult.Get("thoughtsTokenCount").Int()
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cachedTokenCount := usageResult.Get("cachedContentTokenCount").Int()
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template, _ = sjson.Set(template, "usage.prompt_tokens", promptTokenCount+thoughtsTokenCount)
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if thoughtsTokenCount > 0 {
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template, _ = sjson.Set(template, "usage.completion_tokens_details.reasoning_tokens", thoughtsTokenCount)
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@@ -181,12 +181,14 @@ func ConvertAntigravityResponseToOpenAI(_ context.Context, _ string, originalReq
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mimeType = "image/png"
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}
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imageURL := fmt.Sprintf("data:%s;base64,%s", mimeType, data)
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imagePayload := `{"image_url":{"url":""},"type":"image_url"}`
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imagePayload, _ = sjson.Set(imagePayload, "image_url.url", imageURL)
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imagesResult := gjson.Get(template, "choices.0.delta.images")
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if !imagesResult.Exists() || !imagesResult.IsArray() {
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template, _ = sjson.SetRaw(template, "choices.0.delta.images", `[]`)
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}
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imageIndex := len(gjson.Get(template, "choices.0.delta.images").Array())
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imagePayload := `{"type":"image_url","image_url":{"url":""}}`
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imagePayload, _ = sjson.Set(imagePayload, "index", imageIndex)
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imagePayload, _ = sjson.Set(imagePayload, "image_url.url", imageURL)
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template, _ = sjson.Set(template, "choices.0.delta.role", "assistant")
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template, _ = sjson.SetRaw(template, "choices.0.delta.images.-1", imagePayload)
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}
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@@ -218,8 +218,29 @@ func ConvertOpenAIRequestToGeminiCLI(modelName string, inputRawJSON []byte, _ bo
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if content.Type == gjson.String {
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// Assistant text -> single model content
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node, _ = sjson.SetBytes(node, "parts.-1.text", content.String())
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out, _ = sjson.SetRawBytes(out, "request.contents.-1", node)
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p++
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} else if content.IsArray() {
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// Assistant multimodal content (e.g. text + image) -> single model content with parts
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for _, item := range content.Array() {
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switch item.Get("type").String() {
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case "text":
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node, _ = sjson.SetBytes(node, "parts."+itoa(p)+".text", item.Get("text").String())
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p++
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case "image_url":
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// If the assistant returned an inline data URL, preserve it for history fidelity.
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imageURL := item.Get("image_url.url").String()
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if len(imageURL) > 5 { // expect data:...
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pieces := strings.SplitN(imageURL[5:], ";", 2)
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if len(pieces) == 2 && len(pieces[1]) > 7 {
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mime := pieces[0]
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data := pieces[1][7:]
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node, _ = sjson.SetBytes(node, "parts."+itoa(p)+".inlineData.mime_type", mime)
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node, _ = sjson.SetBytes(node, "parts."+itoa(p)+".inlineData.data", data)
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p++
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}
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}
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}
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}
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}
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// Tool calls -> single model content with functionCall parts
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@@ -260,6 +281,8 @@ func ConvertOpenAIRequestToGeminiCLI(modelName string, inputRawJSON []byte, _ bo
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if pp > 0 {
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out, _ = sjson.SetRawBytes(out, "request.contents.-1", toolNode)
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}
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} else {
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out, _ = sjson.SetRawBytes(out, "request.contents.-1", node)
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}
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}
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}
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@@ -170,12 +170,14 @@ func ConvertCliResponseToOpenAI(_ context.Context, _ string, originalRequestRawJ
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mimeType = "image/png"
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}
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imageURL := fmt.Sprintf("data:%s;base64,%s", mimeType, data)
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imagePayload := `{"image_url":{"url":""},"type":"image_url"}`
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imagePayload, _ = sjson.Set(imagePayload, "image_url.url", imageURL)
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imagesResult := gjson.Get(template, "choices.0.delta.images")
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if !imagesResult.Exists() || !imagesResult.IsArray() {
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template, _ = sjson.SetRaw(template, "choices.0.delta.images", `[]`)
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}
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imageIndex := len(gjson.Get(template, "choices.0.delta.images").Array())
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imagePayload := `{"type":"image_url","image_url":{"url":""}}`
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imagePayload, _ = sjson.Set(imagePayload, "index", imageIndex)
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imagePayload, _ = sjson.Set(imagePayload, "image_url.url", imageURL)
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template, _ = sjson.Set(template, "choices.0.delta.role", "assistant")
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template, _ = sjson.SetRaw(template, "choices.0.delta.images.-1", imagePayload)
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}
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@@ -233,18 +233,15 @@ func ConvertOpenAIRequestToGemini(modelName string, inputRawJSON []byte, _ bool)
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} else if role == "assistant" {
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node := []byte(`{"role":"model","parts":[]}`)
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p := 0
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if content.Type == gjson.String {
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// Assistant text -> single model content
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node, _ = sjson.SetBytes(node, "parts.-1.text", content.String())
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out, _ = sjson.SetRawBytes(out, "contents.-1", node)
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p++
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} else if content.IsArray() {
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// Assistant multimodal content (e.g. text + image) -> single model content with parts
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for _, item := range content.Array() {
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switch item.Get("type").String() {
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case "text":
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node, _ = sjson.SetBytes(node, "parts."+itoa(p)+".text", item.Get("text").String())
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p++
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case "image_url":
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// If the assistant returned an inline data URL, preserve it for history fidelity.
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@@ -261,7 +258,6 @@ func ConvertOpenAIRequestToGemini(modelName string, inputRawJSON []byte, _ bool)
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}
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}
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}
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out, _ = sjson.SetRawBytes(out, "contents.-1", node)
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}
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// Tool calls -> single model content with functionCall parts
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@@ -302,6 +298,8 @@ func ConvertOpenAIRequestToGemini(modelName string, inputRawJSON []byte, _ bool)
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if pp > 0 {
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out, _ = sjson.SetRawBytes(out, "contents.-1", toolNode)
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}
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} else {
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out, _ = sjson.SetRawBytes(out, "contents.-1", node)
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}
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}
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}
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@@ -89,15 +89,15 @@ func ConvertGeminiResponseToOpenAI(_ context.Context, _ string, originalRequestR
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// Extract and set usage metadata (token counts).
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if usageResult := gjson.GetBytes(rawJSON, "usageMetadata"); usageResult.Exists() {
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cachedTokenCount := usageResult.Get("cachedContentTokenCount").Int()
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if candidatesTokenCountResult := usageResult.Get("candidatesTokenCount"); candidatesTokenCountResult.Exists() {
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template, _ = sjson.Set(template, "usage.completion_tokens", candidatesTokenCountResult.Int())
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}
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if totalTokenCountResult := usageResult.Get("totalTokenCount"); totalTokenCountResult.Exists() {
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template, _ = sjson.Set(template, "usage.total_tokens", totalTokenCountResult.Int())
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}
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promptTokenCount := usageResult.Get("promptTokenCount").Int()
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promptTokenCount := usageResult.Get("promptTokenCount").Int() - cachedTokenCount
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thoughtsTokenCount := usageResult.Get("thoughtsTokenCount").Int()
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cachedTokenCount := usageResult.Get("cachedContentTokenCount").Int()
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template, _ = sjson.Set(template, "usage.prompt_tokens", promptTokenCount+thoughtsTokenCount)
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if thoughtsTokenCount > 0 {
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template, _ = sjson.Set(template, "usage.completion_tokens_details.reasoning_tokens", thoughtsTokenCount)
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@@ -182,12 +182,14 @@ func ConvertGeminiResponseToOpenAI(_ context.Context, _ string, originalRequestR
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mimeType = "image/png"
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}
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imageURL := fmt.Sprintf("data:%s;base64,%s", mimeType, data)
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imagePayload := `{"image_url":{"url":""},"type":"image_url"}`
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imagePayload, _ = sjson.Set(imagePayload, "image_url.url", imageURL)
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imagesResult := gjson.Get(template, "choices.0.delta.images")
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if !imagesResult.Exists() || !imagesResult.IsArray() {
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template, _ = sjson.SetRaw(template, "choices.0.delta.images", `[]`)
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}
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imageIndex := len(gjson.Get(template, "choices.0.delta.images").Array())
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imagePayload := `{"type":"image_url","image_url":{"url":""}}`
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imagePayload, _ = sjson.Set(imagePayload, "index", imageIndex)
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imagePayload, _ = sjson.Set(imagePayload, "image_url.url", imageURL)
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template, _ = sjson.Set(template, "choices.0.delta.role", "assistant")
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template, _ = sjson.SetRaw(template, "choices.0.delta.images.-1", imagePayload)
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}
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@@ -316,12 +318,14 @@ func ConvertGeminiResponseToOpenAINonStream(_ context.Context, _ string, origina
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mimeType = "image/png"
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}
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imageURL := fmt.Sprintf("data:%s;base64,%s", mimeType, data)
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imagePayload := `{"image_url":{"url":""},"type":"image_url"}`
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imagePayload, _ = sjson.Set(imagePayload, "image_url.url", imageURL)
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imagesResult := gjson.Get(template, "choices.0.message.images")
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if !imagesResult.Exists() || !imagesResult.IsArray() {
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template, _ = sjson.SetRaw(template, "choices.0.message.images", `[]`)
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}
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imageIndex := len(gjson.Get(template, "choices.0.message.images").Array())
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imagePayload := `{"type":"image_url","image_url":{"url":""}}`
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imagePayload, _ = sjson.Set(imagePayload, "index", imageIndex)
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imagePayload, _ = sjson.Set(imagePayload, "image_url.url", imageURL)
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template, _ = sjson.Set(template, "choices.0.message.role", "assistant")
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template, _ = sjson.SetRaw(template, "choices.0.message.images.-1", imagePayload)
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}
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@@ -99,7 +99,7 @@ func TestExecuteStreamWithAuthManager_RetriesBeforeFirstByte(t *testing.T) {
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Streaming: sdkconfig.StreamingConfig{
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BootstrapRetries: &bootstrapRetries,
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},
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}, manager, nil)
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}, manager)
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dataChan, errChan := handler.ExecuteStreamWithAuthManager(context.Background(), "openai", "test-model", []byte(`{"model":"test-model"}`), "")
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if dataChan == nil || errChan == nil {
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t.Fatalf("expected non-nil channels")
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Reference in New Issue
Block a user