vibe-proxy/backend/internal/client/codex/models/models_test.go
2026-08-24 00:10:41 +02:00

400 lines
14 KiB
Go

package models
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 := BuildResponse(openaiModels, nil, false)
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 := BuildResponse([]map[string]any{{
"id": "gpt-5.5",
"display_name": "Configured Codex Name",
}}, nil, false)
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_RewritesTemplateMultiAgentVersionWhenEnabled(t *testing.T) {
modelIDs := []string{"gpt-5.6-luna", "gpt-5.5"}
resp := BuildResponse([]map[string]any{{"id": modelIDs[0]}, {"id": modelIDs[1]}}, nil, true)
models, ok := resp["models"].([]map[string]any)
if !ok {
t.Fatalf("models type = %T, want []map[string]any", resp["models"])
}
for _, model := range models {
if got := stringModelValue(model, "multi_agent_version"); got != "v2" {
t.Errorf("%s multi_agent_version = %q, want v2", stringModelValue(model, "slug"), got)
}
}
}
func TestCodexClientModelsResponse_DisablesSearchToolForSynthesizedModels(t *testing.T) {
resp := BuildResponse([]map[string]any{
{"id": "custom-openai-compatible-model"},
{"id": "gpt-5.5"},
}, nil, false)
models, ok := resp["models"].([]map[string]any)
if !ok {
t.Fatalf("models type = %T, want []map[string]any", resp["models"])
}
bySlug := make(map[string]map[string]any, len(models))
for _, model := range models {
bySlug[stringModelValue(model, "slug")] = model
}
custom := bySlug["custom-openai-compatible-model"]
if custom == nil {
t.Fatal("expected synthesized custom model entry")
}
if got, ok := custom["supports_search_tool"].(bool); !ok || got {
t.Fatalf("custom supports_search_tool = %#v, want false", custom["supports_search_tool"])
}
official := bySlug["gpt-5.5"]
if official == nil {
t.Fatal("expected official template model entry")
}
if got, ok := official["supports_search_tool"].(bool); !ok || !got {
t.Fatalf("official supports_search_tool = %#v, want true", official["supports_search_tool"])
}
}
func TestCodexClientModelsResponse_RequiresTemplateAndCodexProvidersForSearchTool(t *testing.T) {
providers := map[string][]string{
"new-codex-model": {"codex"},
"gpt-5.5": {"openai-compatible-deepseek"},
"gpt-5.4": {"codex", "xai"},
"gpt-5.6-sol": {"codex"},
}
resp := BuildResponse([]map[string]any{
{"id": "new-codex-model"},
{"id": "gpt-5.5"},
{"id": "gpt-5.4"},
{"id": "gpt-5.6-sol"},
}, func(id string) []string {
return providers[id]
}, false)
models, ok := resp["models"].([]map[string]any)
if !ok {
t.Fatalf("models type = %T, want []map[string]any", resp["models"])
}
bySlug := make(map[string]map[string]any, len(models))
for _, model := range models {
bySlug[stringModelValue(model, "slug")] = model
}
if got, ok := bySlug["gpt-5.6-sol"]["supports_search_tool"].(bool); !ok || !got {
t.Errorf("gpt-5.6-sol supports_search_tool = %#v, want true", bySlug["gpt-5.6-sol"]["supports_search_tool"])
}
for _, slug := range []string{"new-codex-model", "gpt-5.5", "gpt-5.4"} {
if got, ok := bySlug[slug]["supports_search_tool"].(bool); !ok || got {
t.Errorf("%s supports_search_tool = %#v, want false", slug, bySlug[slug]["supports_search_tool"])
}
}
}
func TestCodexClientModelsResponse_PreservesUltraReasoningEffort(t *testing.T) {
resp := BuildResponse([]map[string]any{{"id": "gpt-5.6-sol"}}, nil, false)
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)
}
func TestLoadCodexClientModelTemplatesRefreshesOnRevision(t *testing.T) {
codexClientModelTemplatesMu.Lock()
previousLoaded := codexClientModelTemplatesLoaded
previousRevision := codexClientModelTemplatesRevision
previousTemplates := codexClientModelTemplates
previousDefault := codexClientDefaultTemplate
previousErr := codexClientModelTemplatesErr
codexClientModelTemplatesLoaded = false
codexClientModelTemplatesMu.Unlock()
t.Cleanup(func() {
codexClientModelTemplatesMu.Lock()
codexClientModelTemplatesLoaded = previousLoaded
codexClientModelTemplatesRevision = previousRevision
codexClientModelTemplates = previousTemplates
codexClientDefaultTemplate = previousDefault
codexClientModelTemplatesErr = previousErr
codexClientModelTemplatesMu.Unlock()
})
first := []byte(`{"models":[{"slug":"gpt-5.5","display_name":"First"}]}`)
templates, defaultTemplate, err := loadCodexClientModelTemplatesSnapshot(first, 100)
if err != nil {
t.Fatalf("load first snapshot: %v", err)
}
if got := stringModelValue(templates["gpt-5.5"], "display_name"); got != "First" {
t.Fatalf("first display_name = %q, want First", got)
}
if got := stringModelValue(defaultTemplate, "display_name"); got != "First" {
t.Fatalf("first default display_name = %q, want First", got)
}
second := []byte(`{"models":[{"slug":"gpt-5.5","display_name":"Second"}]}`)
templates, defaultTemplate, err = loadCodexClientModelTemplatesSnapshot(second, 101)
if err != nil {
t.Fatalf("load second snapshot: %v", err)
}
if got := stringModelValue(templates["gpt-5.5"], "display_name"); got != "Second" {
t.Fatalf("second display_name = %q, want Second", got)
}
if got := stringModelValue(defaultTemplate, "display_name"); got != "Second" {
t.Fatalf("second default display_name = %q, want Second", got)
}
templates, _, err = loadCodexClientModelTemplatesSnapshot(first, 101)
if err != nil {
t.Fatalf("reload cached revision: %v", err)
}
if got := stringModelValue(templates["gpt-5.5"], "display_name"); got != "Second" {
t.Fatalf("cached display_name = %q, want Second", got)
}
}
func TestApplyCodexClientModelMetadataPreservesMultiAgentVersionWhenDisabled(t *testing.T) {
entry := map[string]any{"multi_agent_version": "v1"}
model := map[string]any{"id": "custom-model"}
applyCodexClientModelMetadata(entry, "custom-model", model, false)
if got := entry["multi_agent_version"]; got != "v1" {
t.Fatalf("disabled multi_agent_version = %#v, want preserved v1", got)
}
applyCodexClientModelMetadata(entry, "custom-model", model, true)
if got := entry["multi_agent_version"]; got != "v2" {
t.Fatalf("enabled multi_agent_version = %#v, want v2", got)
}
}
func TestCodexClientModelsResponseAppliesMaxContextLengthOverride(t *testing.T) {
const wantOverride = 1048576
const wantDefault = 272000
resp := BuildResponse([]map[string]any{
{"id": "deepseek-v4-flash", "max_context_length": wantOverride},
{"id": "deepseek-v4-pro"},
{"id": "gpt-5.5", "max_context_length": wantOverride},
}, nil, false)
models, ok := resp["models"].([]map[string]any)
if !ok {
t.Fatalf("models type = %T, want []map[string]any", resp["models"])
}
bySlug := make(map[string]map[string]any, len(models))
for _, model := range models {
bySlug[stringModelValue(model, "slug")] = model
}
for _, testCase := range []struct {
slug string
want int
}{
{slug: "deepseek-v4-flash", want: wantOverride},
{slug: "deepseek-v4-pro", want: wantDefault},
{slug: "gpt-5.5", want: wantOverride},
} {
entry := bySlug[testCase.slug]
if entry == nil {
t.Fatalf("missing model %q", testCase.slug)
}
if got := intModelValue(entry, "context_window"); got != testCase.want {
t.Errorf("%s context_window = %d, want %d", testCase.slug, got, testCase.want)
}
if got := intModelValue(entry, "max_context_window"); got != testCase.want {
t.Errorf("%s max_context_window = %d, want %d", testCase.slug, got, testCase.want)
}
}
}
func TestCodexClientModelsResponseMapsMaxCompletionTokensToMaxTokens(t *testing.T) {
const wantTemplateLimit = 64000
const wantSynthesizedLimit = 32000
resp := BuildResponse([]map[string]any{
{"id": "gpt-5.5", "max_completion_tokens": wantTemplateLimit},
{"id": "custom-output-limit-model", "max_completion_tokens": wantSynthesizedLimit},
}, nil, false)
models, ok := resp["models"].([]map[string]any)
if !ok {
t.Fatalf("models type = %T, want []map[string]any", resp["models"])
}
bySlug := make(map[string]map[string]any, len(models))
for _, model := range models {
bySlug[stringModelValue(model, "slug")] = model
}
for _, testCase := range []struct {
slug string
want int
}{
{slug: "gpt-5.5", want: wantTemplateLimit},
{slug: "custom-output-limit-model", want: wantSynthesizedLimit},
} {
entry := bySlug[testCase.slug]
if entry == nil {
t.Fatalf("missing model %q", testCase.slug)
}
if got := intModelValue(entry, "max_tokens"); got != testCase.want {
t.Errorf("%s max_tokens = %d, want %d", testCase.slug, got, testCase.want)
}
}
}