feat(runtime): 适配推理模式开关
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283
apps/api/internal/clients/chat_reasoning.go
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283
apps/api/internal/clients/chat_reasoning.go
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@ -0,0 +1,283 @@
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package clients
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import (
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"fmt"
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"math"
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"strconv"
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"strings"
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"github.com/easyai/easyai-ai-gateway/apps/api/internal/store"
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)
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const OpenAIReasoningEffortValidationMessage = "reasoning_effort must be one of: none, minimal, low, medium, high, xhigh"
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var (
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openAIReasoningEfforts = map[string]struct{}{
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"none": {},
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"minimal": {},
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"low": {},
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"medium": {},
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"high": {},
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"xhigh": {},
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}
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volcesChatReasoningEfforts = map[string]struct{}{
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"minimal": {},
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"low": {},
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"medium": {},
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"high": {},
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}
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zhipuReasoningEfforts = map[string]struct{}{
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"none": {},
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"minimal": {},
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"low": {},
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"medium": {},
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"high": {},
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"xhigh": {},
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}
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)
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func ValidateOpenAIReasoningEffort(value any) error {
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effort := normalizedReasoningString(value)
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if effort == "" {
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return nil
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}
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if isOpenAIReasoningEffort(effort) {
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return nil
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}
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return &ClientError{Code: "invalid_parameter", Message: OpenAIReasoningEffortValidationMessage, Retryable: false}
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}
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func applyOpenAIChatReasoningParams(body map[string]any, candidate store.RuntimeModelCandidate) {
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effort := normalizedReasoningString(body["reasoning_effort"])
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if effort == "" || !isOpenAIReasoningEffort(effort) {
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return
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}
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body["reasoning_effort"] = effort
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switch {
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case isAliyunBailianOpenAI(candidate):
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applyAliyunReasoning(body, candidate, effort)
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case isDeepSeekOpenAI(candidate):
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applyHighMaxThinkingReasoning(body, effort)
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case isZhipuOpenAI(candidate):
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applyZhipuReasoning(body, candidate, effort)
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case isVolcesOpenAI(candidate):
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applyVolcesReasoning(body, candidate, effort)
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}
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}
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func applyAliyunReasoning(body map[string]any, candidate store.RuntimeModelCandidate, effort string) {
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defer delete(body, "thinking_budget_tokens")
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if effort == "none" {
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body["enable_thinking"] = false
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delete(body, "reasoning_effort")
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return
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}
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body["enable_thinking"] = true
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model := chatReasoningModelName(body, candidate)
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if isAliyunHighMaxReasoningModel(model) {
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body["reasoning_effort"] = highMaxReasoningEffort(effort)
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return
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}
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delete(body, "reasoning_effort")
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if isAliyunThinkingBudgetModel(model) {
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if budget, ok := positiveIntFromAny(body["thinking_budget_tokens"]); ok {
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body["thinking_budget"] = budget
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}
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}
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}
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func applyHighMaxThinkingReasoning(body map[string]any, effort string) {
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if effort == "none" {
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body["thinking"] = map[string]any{"type": "disabled"}
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delete(body, "reasoning_effort")
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return
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}
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body["thinking"] = map[string]any{"type": "enabled"}
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body["reasoning_effort"] = highMaxReasoningEffort(effort)
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}
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func applyZhipuReasoning(body map[string]any, candidate store.RuntimeModelCandidate, effort string) {
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if effort == "none" {
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body["thinking"] = map[string]any{"type": "disabled"}
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delete(body, "reasoning_effort")
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return
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}
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body["thinking"] = map[string]any{"type": "enabled"}
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if !isZhipuReasoningEffortModel(chatReasoningModelName(body, candidate)) {
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delete(body, "reasoning_effort")
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return
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}
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if mapped := zhipuReasoningEffort(effort); mapped != "" {
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body["reasoning_effort"] = mapped
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return
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}
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delete(body, "reasoning_effort")
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}
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func applyVolcesReasoning(body map[string]any, _ store.RuntimeModelCandidate, effort string) {
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if effort == "none" {
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body["thinking"] = map[string]any{"type": "disabled"}
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delete(body, "reasoning_effort")
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return
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}
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body["thinking"] = map[string]any{"type": "enabled"}
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if mapped := volcesChatReasoningEffort(effort); mapped != "" {
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body["reasoning_effort"] = mapped
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return
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}
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delete(body, "reasoning_effort")
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}
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func normalizedReasoningString(value any) string {
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if value == nil {
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return ""
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}
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text, ok := value.(string)
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if !ok {
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text = fmt.Sprint(value)
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}
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return strings.ToLower(strings.TrimSpace(text))
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}
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func isOpenAIReasoningEffort(effort string) bool {
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_, ok := openAIReasoningEfforts[effort]
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return ok
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}
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func chatReasoningModelName(body map[string]any, candidate store.RuntimeModelCandidate) string {
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for _, value := range []any{
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body["model"],
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candidate.ProviderModelName,
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candidate.ModelName,
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candidate.ModelAlias,
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} {
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if text := normalizedReasoningString(value); text != "" {
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return text
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}
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}
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return ""
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}
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func providerCode(candidate store.RuntimeModelCandidate) string {
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return normalizedReasoningString(candidate.Provider)
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}
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func baseURLCode(candidate store.RuntimeModelCandidate) string {
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return normalizedReasoningString(candidate.BaseURL)
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}
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func isAliyunBailianOpenAI(candidate store.RuntimeModelCandidate) bool {
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provider := providerCode(candidate)
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baseURL := baseURLCode(candidate)
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return provider == "aliyun-bailian-openai" || strings.Contains(baseURL, "dashscope.")
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}
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func isVolcesOpenAI(candidate store.RuntimeModelCandidate) bool {
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provider := providerCode(candidate)
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baseURL := baseURLCode(candidate)
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return provider == "volces-openai" || strings.Contains(baseURL, "volces.com") || strings.Contains(baseURL, "byteplus.com")
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}
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func isDeepSeekOpenAI(candidate store.RuntimeModelCandidate) bool {
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provider := providerCode(candidate)
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baseURL := baseURLCode(candidate)
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return provider == "deepseek-openai" || strings.Contains(baseURL, "api.deepseek.com")
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}
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func isZhipuOpenAI(candidate store.RuntimeModelCandidate) bool {
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provider := providerCode(candidate)
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baseURL := baseURLCode(candidate)
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return provider == "zhipu-openai" || strings.Contains(baseURL, "bigmodel.cn") || strings.Contains(baseURL, "api.z.ai")
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}
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func isAliyunHighMaxReasoningModel(model string) bool {
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return strings.Contains(model, "deepseek-v4") || strings.HasPrefix(model, "glm-")
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}
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func isAliyunThinkingBudgetModel(model string) bool {
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return strings.Contains(model, "qwen") || strings.Contains(model, "qwq") || strings.Contains(model, "qvq") || strings.Contains(model, "kimi")
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}
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func isVolcesReasoningEffortModel(model string) bool {
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return strings.HasPrefix(model, "doubao-seed-2-")
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}
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func isZhipuReasoningEffortModel(model string) bool {
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return model == "" || strings.HasPrefix(model, "glm-5.2") || strings.HasPrefix(model, "glm-5-2")
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}
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func highMaxReasoningEffort(effort string) string {
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if effort == "xhigh" {
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return "max"
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}
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return "high"
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}
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func zhipuReasoningEffort(effort string) string {
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if _, ok := zhipuReasoningEfforts[effort]; ok {
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return effort
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}
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return ""
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}
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func volcesChatReasoningEffort(effort string) string {
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switch effort {
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case "none":
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return "minimal"
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case "xhigh":
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return "high"
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default:
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if _, ok := volcesChatReasoningEfforts[effort]; ok {
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return effort
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}
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return ""
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}
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}
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func positiveIntFromAny(value any) (int, bool) {
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if value == nil {
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return 0, false
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}
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var number float64
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switch typed := value.(type) {
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case int:
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number = float64(typed)
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case int64:
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number = float64(typed)
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case float64:
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number = typed
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case float32:
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number = float64(typed)
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case jsonNumber:
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parsed, err := typed.Float64()
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if err != nil {
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return 0, false
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}
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number = parsed
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case string:
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parsed := normalizedReasoningString(typed)
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if parsed == "" {
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return 0, false
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}
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value, err := strconv.ParseFloat(parsed, 64)
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if err != nil {
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return 0, false
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}
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number = value
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default:
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return 0, false
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}
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if math.IsNaN(number) || math.IsInf(number, 0) || number <= 0 {
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return 0, false
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}
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return int(math.Floor(number)), true
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}
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type jsonNumber interface {
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Float64() (float64, error)
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}
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@ -343,6 +343,190 @@ func TestOpenAIClientChatContract(t *testing.T) {
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}
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}
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func TestOpenAIClientChatReasoningParamsByProvider(t *testing.T) {
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cases := []struct {
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name string
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provider string
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model string
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baseURL string
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body map[string]any
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assertion func(t *testing.T, body map[string]any)
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}{
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{
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name: "generic openai keeps openai reasoning effort",
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provider: "openai",
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model: "gpt-5.5",
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body: map[string]any{
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"reasoning_effort": "xhigh",
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},
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assertion: func(t *testing.T, body map[string]any) {
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if body["reasoning_effort"] != "xhigh" {
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t.Fatalf("generic openai should keep xhigh, got %+v", body)
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}
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if _, ok := body["thinking"]; ok {
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t.Fatalf("generic openai should not receive thinking object: %+v", body)
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}
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},
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},
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{
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name: "aliyun qwen enables thinking and maps budget",
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provider: "aliyun-bailian-openai",
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model: "qwen3.7-plus",
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body: map[string]any{
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"reasoning_effort": "high",
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"thinking_budget_tokens": 4096,
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},
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assertion: func(t *testing.T, body map[string]any) {
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if body["enable_thinking"] != true || body["thinking_budget"] != float64(4096) {
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t.Fatalf("aliyun qwen should use enable_thinking/thinking_budget, got %+v", body)
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}
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if _, ok := body["reasoning_effort"]; ok {
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t.Fatalf("aliyun qwen should not receive reasoning_effort: %+v", body)
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}
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if _, ok := body["thinking_budget_tokens"]; ok {
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t.Fatalf("internal thinking_budget_tokens should be removed: %+v", body)
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}
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},
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},
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{
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name: "aliyun qwen disables thinking for none",
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provider: "aliyun-bailian-openai",
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model: "qwen3.7-plus",
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body: map[string]any{
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"reasoning_effort": "none",
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},
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assertion: func(t *testing.T, body map[string]any) {
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if body["enable_thinking"] != false {
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t.Fatalf("aliyun qwen none should disable thinking, got %+v", body)
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}
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if _, ok := body["reasoning_effort"]; ok {
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t.Fatalf("aliyun qwen none should remove reasoning_effort: %+v", body)
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}
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},
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},
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{
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name: "same deepseek model on aliyun uses aliyun protocol",
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provider: "aliyun-bailian-openai",
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model: "deepseek-v4",
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body: map[string]any{
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"reasoning_effort": "xhigh",
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},
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assertion: func(t *testing.T, body map[string]any) {
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if body["enable_thinking"] != true || body["reasoning_effort"] != "max" {
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t.Fatalf("aliyun deepseek should use enable_thinking and max, got %+v", body)
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}
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},
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},
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{
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name: "deepseek official uses thinking object and high max effort",
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provider: "deepseek-openai",
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model: "deepseek-v4",
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body: map[string]any{
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"reasoning_effort": "xhigh",
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},
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assertion: func(t *testing.T, body map[string]any) {
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thinking, _ := body["thinking"].(map[string]any)
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if thinking["type"] != "enabled" || body["reasoning_effort"] != "max" {
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t.Fatalf("deepseek official should use thinking enabled and max, got %+v", body)
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}
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},
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},
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{
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name: "volces seed none disables thinking",
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provider: "volces-openai",
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model: "doubao-seed-2-0-pro-260215",
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body: map[string]any{
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"reasoning_effort": "none",
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},
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assertion: func(t *testing.T, body map[string]any) {
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thinking, _ := body["thinking"].(map[string]any)
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if thinking["type"] != "disabled" {
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t.Fatalf("volces seed none should disable thinking, got %+v", body)
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}
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if _, ok := body["reasoning_effort"]; ok {
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t.Fatalf("volces seed none should remove reasoning_effort: %+v", body)
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}
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},
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},
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{
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name: "volces seed enables thinking and maps xhigh",
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provider: "volces-openai",
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model: "doubao-seed-2-0-pro-260215",
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body: map[string]any{
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"reasoning_effort": "xhigh",
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},
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assertion: func(t *testing.T, body map[string]any) {
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thinking, _ := body["thinking"].(map[string]any)
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if thinking["type"] != "enabled" || body["reasoning_effort"] != "high" {
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t.Fatalf("volces seed xhigh should enable thinking and map to high, got %+v", body)
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}
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},
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},
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{
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name: "zhipu preserves xhigh for glm 5.2",
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provider: "zhipu-openai",
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model: "glm-5.2",
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body: map[string]any{
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"reasoning_effort": "xhigh",
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},
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assertion: func(t *testing.T, body map[string]any) {
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thinking, _ := body["thinking"].(map[string]any)
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if thinking["type"] != "enabled" || body["reasoning_effort"] != "xhigh" {
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t.Fatalf("zhipu glm should use thinking enabled and preserve xhigh, got %+v", body)
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}
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},
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},
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}
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for _, tc := range cases {
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t.Run(tc.name, func(t *testing.T) {
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var captured map[string]any
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server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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if err := json.NewDecoder(r.Body).Decode(&captured); err != nil {
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t.Fatalf("decode request: %v", err)
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}
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_ = json.NewEncoder(w).Encode(map[string]any{
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"id": "chatcmpl-reasoning",
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"object": "chat.completion",
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"model": captured["model"],
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"choices": []any{map[string]any{
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"message": map[string]any{"role": "assistant", "content": "ok"},
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}},
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})
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}))
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defer server.Close()
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body := map[string]any{
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"messages": []any{map[string]any{"role": "user", "content": "ping"}},
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}
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for key, value := range tc.body {
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body[key] = value
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}
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baseURL := tc.baseURL
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if baseURL == "" {
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baseURL = server.URL
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}
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_, err := (OpenAIClient{HTTPClient: server.Client()}).Run(context.Background(), Request{
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Kind: "chat.completions",
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Model: tc.model,
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Body: body,
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Candidate: store.RuntimeModelCandidate{
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Provider: tc.provider,
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BaseURL: baseURL,
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ProviderModelName: tc.model,
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ModelName: tc.model,
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Credentials: map[string]any{"apiKey": "test-key"},
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},
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})
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if err != nil {
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t.Fatalf("run openai client: %v", err)
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}
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tc.assertion(t, captured)
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})
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}
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}
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func TestUsageFromOpenAIUsageTracksKnownCachedInputZero(t *testing.T) {
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knownZero := usageFromOpenAIUsage(map[string]any{
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"prompt_tokens": 100,
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@ -27,6 +27,7 @@ func (c OpenAIClient) Run(ctx context.Context, request Request) (Response, error
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body := cloneBody(request.Body)
|
||||
if request.Kind == "chat.completions" {
|
||||
body = NormalizeChatCompletionRequestBody(body)
|
||||
applyOpenAIChatReasoningParams(body, request.Candidate)
|
||||
}
|
||||
body["model"] = upstreamModelName(request.Candidate)
|
||||
stream := openAIEndpointSupportsStream(request.Kind) && (request.Stream || boolValue(body, "stream"))
|
||||
|
||||
@ -138,6 +138,27 @@ func TestWriteCompatibleTaskResponseReturnsJSONWhenStreamIsFalse(t *testing.T) {
|
||||
}
|
||||
}
|
||||
|
||||
func TestWriteCompatibleTaskResponseMapsInvalidParameterToBadRequest(t *testing.T) {
|
||||
executor := &fakeTaskExecutor{
|
||||
runErr: &clients.ClientError{
|
||||
Code: "invalid_parameter",
|
||||
Message: "reasoning_effort must be one of: none, minimal, low, medium, high, xhigh",
|
||||
Retryable: false,
|
||||
},
|
||||
}
|
||||
req := httptest.NewRequest(http.MethodPost, "/api/v1/chat/completions", nil)
|
||||
recorder := httptest.NewRecorder()
|
||||
|
||||
writeCompatibleTaskResponse(context.Background(), recorder, req, executor, "chat.completions", "gpt-test", store.GatewayTask{ID: "task-test"}, &auth.User{}, false, false)
|
||||
|
||||
if recorder.Code != http.StatusBadRequest {
|
||||
t.Fatalf("status=%d want=%d body=%s", recorder.Code, http.StatusBadRequest, recorder.Body.String())
|
||||
}
|
||||
if !strings.Contains(recorder.Body.String(), "invalid_parameter") {
|
||||
t.Fatalf("response should include invalid_parameter code: %s", recorder.Body.String())
|
||||
}
|
||||
}
|
||||
|
||||
func TestWriteCompatibleTaskResponseReturnsSSEWhenStreamIsTrue(t *testing.T) {
|
||||
executor := &fakeTaskExecutor{
|
||||
deltas: []clients.StreamDeltaEvent{{Text: "hel"}, {Text: "lo"}},
|
||||
@ -284,15 +305,22 @@ type fakeTaskExecutor struct {
|
||||
streamCalls int
|
||||
deltas []clients.StreamDeltaEvent
|
||||
output map[string]any
|
||||
runErr error
|
||||
}
|
||||
|
||||
func (f *fakeTaskExecutor) Execute(context.Context, store.GatewayTask, *auth.User) (runner.Result, error) {
|
||||
f.executeCalls++
|
||||
if f.runErr != nil {
|
||||
return runner.Result{}, f.runErr
|
||||
}
|
||||
return runner.Result{Output: f.output}, nil
|
||||
}
|
||||
|
||||
func (f *fakeTaskExecutor) ExecuteStream(_ context.Context, _ store.GatewayTask, _ *auth.User, onDelta clients.StreamDelta) (runner.Result, error) {
|
||||
f.streamCalls++
|
||||
if f.runErr != nil {
|
||||
return runner.Result{}, f.runErr
|
||||
}
|
||||
for _, delta := range f.deltas {
|
||||
if err := onDelta(delta); err != nil {
|
||||
return runner.Result{}, err
|
||||
|
||||
@ -1306,7 +1306,7 @@ func scopeForTaskKind(kind string) string {
|
||||
|
||||
func statusFromRunError(err error) int {
|
||||
switch {
|
||||
case clients.ErrorCode(err) == "bad_request" || clients.ErrorCode(err) == "cloned_voice_expired" || clients.ErrorCode(err) == "cloned_voice_unavailable" || clients.ErrorCode(err) == "cloned_voice_platform_unavailable" || clients.ErrorCode(err) == "unsupported_operation" || clients.ErrorCode(err) == "invalid_proxy":
|
||||
case clients.ErrorCode(err) == "bad_request" || clients.ErrorCode(err) == "invalid_parameter" || clients.ErrorCode(err) == "cloned_voice_expired" || clients.ErrorCode(err) == "cloned_voice_unavailable" || clients.ErrorCode(err) == "cloned_voice_platform_unavailable" || clients.ErrorCode(err) == "unsupported_operation" || clients.ErrorCode(err) == "invalid_proxy":
|
||||
return http.StatusBadRequest
|
||||
case clients.ErrorCode(err) == "cloned_voice_not_found":
|
||||
return http.StatusNotFound
|
||||
|
||||
@ -190,7 +190,7 @@ type TaskRequest struct {
|
||||
Stream bool `json:"stream,omitempty" example:"false"`
|
||||
RunMode string `json:"runMode,omitempty" example:"simulation"`
|
||||
MaxTokens int `json:"max_tokens,omitempty" example:"512"`
|
||||
// ReasoningEffort 推理深度,OpenAI-compatible 请求字段;开放字符串,取值随 provider 和模型能力而定,常见值为 none、minimal、low、medium、high、xhigh,也可配置 max 等供应商自定义值。
|
||||
// ReasoningEffort 推理强度,OpenAI-compatible 请求字段;仅支持 none、minimal、low、medium、high、xhigh。供应商自定义取值由网关按平台适配。
|
||||
ReasoningEffort string `json:"reasoning_effort,omitempty" example:"medium"`
|
||||
Size string `json:"size,omitempty" example:"1024x1024"`
|
||||
Duration int `json:"duration,omitempty" example:"5"`
|
||||
@ -216,7 +216,7 @@ type ChatCompletionRequest struct {
|
||||
Messages []ChatMessage `json:"messages"`
|
||||
Temperature float64 `json:"temperature,omitempty" example:"0.7"`
|
||||
MaxTokens int `json:"max_tokens,omitempty" example:"512"`
|
||||
// ReasoningEffort 推理深度,OpenAI-compatible 请求字段;开放字符串,取值随 provider 和模型能力而定,常见值为 none、minimal、low、medium、high、xhigh,也可配置 max 等供应商自定义值。
|
||||
// ReasoningEffort 推理强度,OpenAI-compatible 请求字段;仅支持 none、minimal、low、medium、high、xhigh。供应商自定义取值由网关按平台适配。
|
||||
ReasoningEffort string `json:"reasoning_effort,omitempty" example:"medium"`
|
||||
Stream bool `json:"stream,omitempty" example:"false"`
|
||||
RunMode string `json:"runMode,omitempty" example:"simulation"`
|
||||
|
||||
@ -1295,6 +1295,9 @@ func validateRequest(kind string, body map[string]any) error {
|
||||
if body["messages"] == nil {
|
||||
return errors.New("messages is required")
|
||||
}
|
||||
if err := clients.ValidateOpenAIReasoningEffort(body["reasoning_effort"]); err != nil {
|
||||
return err
|
||||
}
|
||||
case "responses":
|
||||
if body["input"] == nil && body["messages"] == nil {
|
||||
return errors.New("input or messages is required")
|
||||
|
||||
@ -2,6 +2,7 @@ package runner
|
||||
|
||||
import (
|
||||
"context"
|
||||
"strings"
|
||||
"testing"
|
||||
|
||||
"github.com/easyai/easyai-ai-gateway/apps/api/internal/clients"
|
||||
@ -14,6 +15,37 @@ func (namedClient) Run(context.Context, clients.Request) (clients.Response, erro
|
||||
return clients.Response{}, nil
|
||||
}
|
||||
|
||||
func TestValidateRequestAcceptsOpenAIReasoningEffort(t *testing.T) {
|
||||
for _, effort := range []string{"none", "minimal", "low", "medium", "high", "xhigh"} {
|
||||
t.Run(effort, func(t *testing.T) {
|
||||
err := validateRequest("chat.completions", map[string]any{
|
||||
"messages": []any{map[string]any{"role": "user", "content": "ping"}},
|
||||
"reasoning_effort": effort,
|
||||
})
|
||||
if err != nil {
|
||||
t.Fatalf("expected %s to be accepted: %v", effort, err)
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestValidateRequestRejectsNonOpenAIReasoningEffort(t *testing.T) {
|
||||
for _, effort := range []string{"max", "auto"} {
|
||||
t.Run(effort, func(t *testing.T) {
|
||||
err := validateRequest("chat.completions", map[string]any{
|
||||
"messages": []any{map[string]any{"role": "user", "content": "ping"}},
|
||||
"reasoning_effort": effort,
|
||||
})
|
||||
if err == nil {
|
||||
t.Fatalf("expected %s to be rejected", effort)
|
||||
}
|
||||
if clients.ErrorCode(err) != "invalid_parameter" || !strings.Contains(err.Error(), clients.OpenAIReasoningEffortValidationMessage) {
|
||||
t.Fatalf("unexpected validation error for %s: %T %v", effort, err, err)
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestClientForMapsGoogleGeminiSpecToGeminiClient(t *testing.T) {
|
||||
service := &Service{clients: map[string]clients.Client{
|
||||
"gemini": namedClient("gemini"),
|
||||
|
||||
@ -160,18 +160,17 @@ WHERE p.status = 'enabled'
|
||||
)
|
||||
)
|
||||
OR (
|
||||
COALESCE(m.model_alias, '') = ''
|
||||
AND (
|
||||
m.model_name = $1::text
|
||||
OR b.canonical_model_key = $1::text
|
||||
OR b.provider_model_name = $1::text
|
||||
OR (
|
||||
NULLIF($3::text, '') IS NOT NULL
|
||||
AND (
|
||||
regexp_replace(COALESCE(m.model_name, ''), '[[:space:]]+', '', 'g') = $3::text
|
||||
OR regexp_replace(COALESCE(b.canonical_model_key, ''), '[[:space:]]+', '', 'g') = $3::text
|
||||
OR regexp_replace(COALESCE(b.provider_model_name, ''), '[[:space:]]+', '', 'g') = $3::text
|
||||
)
|
||||
m.model_name = $1::text
|
||||
OR COALESCE(NULLIF(m.provider_model_name, ''), m.model_name) = $1::text
|
||||
OR b.canonical_model_key = $1::text
|
||||
OR b.provider_model_name = $1::text
|
||||
OR (
|
||||
NULLIF($3::text, '') IS NOT NULL
|
||||
AND (
|
||||
regexp_replace(COALESCE(m.model_name, ''), '[[:space:]]+', '', 'g') = $3::text
|
||||
OR regexp_replace(COALESCE(NULLIF(m.provider_model_name, ''), m.model_name), '[[:space:]]+', '', 'g') = $3::text
|
||||
OR regexp_replace(COALESCE(b.canonical_model_key, ''), '[[:space:]]+', '', 'g') = $3::text
|
||||
OR regexp_replace(COALESCE(b.provider_model_name, ''), '[[:space:]]+', '', 'g') = $3::text
|
||||
)
|
||||
)
|
||||
)
|
||||
|
||||
@ -47,7 +47,7 @@ const textFields: FieldDefinition[] = [
|
||||
{ key: 'max_input_tokens', label: '最大输入 Token', placeholder: '64000', type: 'number' },
|
||||
{ key: 'max_output_tokens', label: '最大输出 Token', placeholder: '8192', type: 'number' },
|
||||
{ key: 'max_thinking_tokens', label: '最大思考 Token', placeholder: '32768', type: 'number' },
|
||||
{ key: 'thinkingEffortLevels', label: '推理深度', hint: '声明模型支持的 reasoning_effort 取值,可填写 max 等供应商自定义值', placeholder: 'none, minimal, low, medium, high, xhigh, max', type: 'list' },
|
||||
{ key: 'thinkingEffortLevels', label: '推理深度', hint: '声明模型支持的 OpenAI reasoning_effort 取值,平台差异由网关适配', placeholder: 'none, minimal, low, medium, high, xhigh', type: 'list' },
|
||||
];
|
||||
|
||||
const embeddingFields: FieldDefinition[] = [
|
||||
@ -536,7 +536,7 @@ const imageAspectRatioOptions = [
|
||||
'7:4',
|
||||
'4:7',
|
||||
];
|
||||
const thinkingEffortOptions = ['none', 'minimal', 'low', 'medium', 'high', 'xhigh', 'max'];
|
||||
const thinkingEffortOptions = ['none', 'minimal', 'low', 'medium', 'high', 'xhigh'];
|
||||
const omniVideoModeOptions = ['text_to_video', 'image_reference', 'element_reference', 'first_last_frame', 'video_reference', 'video_edit', 'multi_shot'];
|
||||
const durationOptionValues = ['1', '2', '3', '4', '5', '6', '8', '10', '15', '20', '25', '30'];
|
||||
const exclusiveCapabilityFields: Record<string, string> = {
|
||||
|
||||
Loading…
Reference in New Issue
Block a user