Files
2026-07-13 12:35:43 +08:00

177 lines
6.0 KiB
Go

package openai
import (
"testing"
"github.com/router-for-me/CLIProxyAPI/v7/internal/registry"
)
func TestCodexClientModelsResponse_InputModalitiesFromRegistry(t *testing.T) {
modelID := "mimo-v2.5-pro-codex-test"
textOnlyModelID := "mimo-text-only-codex-test"
modelRegistry := registry.GetGlobalRegistry()
modelRegistry.RegisterClient("codex-input-modalities-test", "openai-compatibility", []*registry.ModelInfo{
{
ID: modelID,
Object: "model",
OwnedBy: "mimo",
Type: "openai-compatibility",
DisplayName: modelID,
SupportedInputModalities: []string{"text", "image"},
},
{
ID: textOnlyModelID,
Object: "model",
OwnedBy: "mimo",
Type: "openai-compatibility",
DisplayName: textOnlyModelID,
SupportedInputModalities: []string{"text"},
},
{
ID: "mimo-mixed-modalities-codex-test",
Object: "model",
OwnedBy: "mimo",
Type: "openai-compatibility",
DisplayName: "mimo-mixed-modalities-codex-test",
SupportedInputModalities: []string{"text", "image", "audio", "video", "TEXT", "IMAGE"},
},
{
ID: "compat-image-only-codex-test",
Object: "model",
OwnedBy: "mimo",
Type: registry.OpenAIImageModelType,
},
})
t.Cleanup(func() {
modelRegistry.UnregisterClient("codex-input-modalities-test")
})
openaiModels := modelRegistry.GetAvailableModels("openai")
resp := CodexClientModelsResponse(openaiModels)
models, ok := resp["models"].([]map[string]any)
if !ok {
t.Fatalf("models type = %T, want []map[string]any", resp["models"])
}
var visionEntry map[string]any
var textOnlyEntry map[string]any
var mixedEntry map[string]any
var imageEntry map[string]any
for _, entry := range models {
slug := stringModelValue(entry, "slug")
switch slug {
case modelID:
visionEntry = entry
case textOnlyModelID:
textOnlyEntry = entry
case "mimo-mixed-modalities-codex-test":
mixedEntry = entry
case "compat-image-only-codex-test":
imageEntry = entry
}
}
if visionEntry == nil {
t.Fatalf("expected codex entry for %q", modelID)
}
modalities, ok := visionEntry["input_modalities"].([]any)
if !ok || len(modalities) != 2 {
t.Fatalf("input_modalities = %#v, want [text image]", visionEntry["input_modalities"])
}
if got, _ := modalities[0].(string); got != "text" {
t.Fatalf("input_modalities[0] = %q, want text", got)
}
if got, _ := modalities[1].(string); got != "image" {
t.Fatalf("input_modalities[1] = %q, want image", got)
}
if got, ok := visionEntry["supports_image_detail_original"].(bool); !ok || !got {
t.Fatalf("supports_image_detail_original = %#v, want true", visionEntry["supports_image_detail_original"])
}
if textOnlyEntry == nil {
t.Fatalf("expected codex entry for %q", textOnlyModelID)
}
textOnlyModalities, ok := textOnlyEntry["input_modalities"].([]any)
if !ok || len(textOnlyModalities) != 1 {
t.Fatalf("text-only input_modalities = %#v, want [text]", textOnlyEntry["input_modalities"])
}
if got, _ := textOnlyModalities[0].(string); got != "text" {
t.Fatalf("text-only input_modalities[0] = %q, want text", got)
}
if _, exists := textOnlyEntry["supports_image_detail_original"]; exists {
t.Fatalf("text-only model should not expose supports_image_detail_original: %#v", textOnlyEntry["supports_image_detail_original"])
}
if mixedEntry == nil {
t.Fatal("expected codex entry for mixed-modalities model")
}
mixedModalities, ok := mixedEntry["input_modalities"].([]any)
if !ok || len(mixedModalities) != 2 {
t.Fatalf("mixed input_modalities = %#v, want [text image]", mixedEntry["input_modalities"])
}
if got, _ := mixedModalities[0].(string); got != "text" {
t.Fatalf("mixed input_modalities[0] = %q, want text", got)
}
if got, _ := mixedModalities[1].(string); got != "image" {
t.Fatalf("mixed input_modalities[1] = %q, want image", got)
}
if got, ok := mixedEntry["supports_image_detail_original"].(bool); !ok || !got {
t.Fatalf("mixed supports_image_detail_original = %#v, want true", mixedEntry["supports_image_detail_original"])
}
if imageEntry == nil {
t.Fatal("expected codex entry for image-only compat model")
}
if got, _ := imageEntry["visibility"].(string); got != "hide" {
t.Fatalf("image model visibility = %q, want hide", got)
}
if _, exists := imageEntry["input_modalities"]; exists {
t.Fatalf("image endpoint model should not expose input_modalities from registry: %#v", imageEntry["input_modalities"])
}
}
func TestCodexClientModelsResponse_AppliesDisplayNameToTemplateModel(t *testing.T) {
resp := CodexClientModelsResponse([]map[string]any{{
"id": "gpt-5.5",
"display_name": "Configured Codex Name",
}})
models, ok := resp["models"].([]map[string]any)
if !ok || len(models) != 1 {
t.Fatalf("models = %#v, want one model", resp["models"])
}
if got := stringModelValue(models[0], "display_name"); got != "Configured Codex Name" {
t.Fatalf("display_name = %q, want Configured Codex Name", got)
}
}
func TestCodexClientModelsResponse_PreservesUltraReasoningEffort(t *testing.T) {
resp := CodexClientModelsResponse([]map[string]any{{"id": "gpt-5.6-sol"}})
models, ok := resp["models"].([]map[string]any)
if !ok {
t.Fatalf("models type = %T, want []map[string]any", resp["models"])
}
var sol map[string]any
for _, entry := range models {
if stringModelValue(entry, "slug") == "gpt-5.6-sol" {
sol = entry
break
}
}
if sol == nil {
t.Fatal("expected codex client entry for gpt-5.6-sol")
}
levels, ok := sol["supported_reasoning_levels"].([]any)
if !ok {
t.Fatalf("supported_reasoning_levels = %T, want []any", sol["supported_reasoning_levels"])
}
for _, rawLevel := range levels {
level, ok := rawLevel.(map[string]any)
if ok && stringModelValue(level, "effort") == "ultra" {
return
}
}
t.Fatalf("supported_reasoning_levels = %#v, want ultra", levels)
}