feat(api): add Codex client models support for OpenAI API
- Introduced Codex client models framework in `openai` package. - Added JSON-based model definitions (`codex_client_models.json`) for Codex, including metadata, reasoning levels, and configuration options. - Implemented handlers to load, clone, and build Codex client models with support for visibility overrides and metadata application. - Enabled sorting and prioritization of models based on configuration or runtime criteria. - Added utility functions for managing and validating model attributes.
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@@ -842,6 +842,15 @@ func (s *Server) watchKeepAlive() {
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// otherwise it routes to OpenAI handler.
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func (s *Server) unifiedModelsHandler(openaiHandler *openai.OpenAIAPIHandler, claudeHandler *claude.ClaudeCodeAPIHandler) gin.HandlerFunc {
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return func(c *gin.Context) {
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if _, ok := c.Request.URL.Query()["client_version"]; ok {
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if s != nil && s.cfg != nil && s.cfg.Home.Enabled {
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s.handleHomeCodexClientModels(c)
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return
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}
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openaiHandler.OpenAIModels(c)
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return
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}
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if s != nil && s.cfg != nil && s.cfg.Home.Enabled {
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s.handleHomeModels(c)
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return
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@@ -860,6 +869,34 @@ func (s *Server) unifiedModelsHandler(openaiHandler *openai.OpenAIAPIHandler, cl
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}
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}
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func (s *Server) handleHomeCodexClientModels(c *gin.Context) {
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entries, ok := s.loadHomeModelEntries(c)
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if !ok {
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return
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}
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models := make([]map[string]any, 0, len(entries))
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for _, entry := range entries {
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model := map[string]any{
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"id": entry.id,
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"object": "model",
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}
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if entry.created > 0 {
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model["created"] = entry.created
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}
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if entry.ownedBy != "" {
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model["owned_by"] = entry.ownedBy
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}
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if entry.displayName != "" {
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model["display_name"] = entry.displayName
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model["description"] = entry.displayName
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}
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models = append(models, model)
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}
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c.JSON(http.StatusOK, openai.CodexClientModelsResponse(models))
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}
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func (s *Server) geminiModelsHandler(geminiHandler *gemini.GeminiAPIHandler) gin.HandlerFunc {
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return func(c *gin.Context) {
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if s != nil && s.cfg != nil && s.cfg.Home.Enabled {
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@@ -14,6 +14,7 @@ import (
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proxyconfig "github.com/router-for-me/CLIProxyAPI/v7/internal/config"
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internallogging "github.com/router-for-me/CLIProxyAPI/v7/internal/logging"
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"github.com/router-for-me/CLIProxyAPI/v7/internal/redisqueue"
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"github.com/router-for-me/CLIProxyAPI/v7/internal/registry"
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sdkaccess "github.com/router-for-me/CLIProxyAPI/v7/sdk/access"
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"github.com/router-for-me/CLIProxyAPI/v7/sdk/cliproxy/auth"
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sdkconfig "github.com/router-for-me/CLIProxyAPI/v7/sdk/config"
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@@ -239,6 +240,136 @@ func TestAmpProviderModelRoutes(t *testing.T) {
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}
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}
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func TestModelsWithClientVersionReturnsCodexCatalog(t *testing.T) {
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modelRegistry := registry.GetGlobalRegistry()
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clientID := "test-client-version-catalog"
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modelRegistry.RegisterClient(clientID, "openai", []*registry.ModelInfo{
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{
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ID: "gpt-5.5",
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Object: "model",
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Created: 1776902400,
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OwnedBy: "openai",
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Type: "openai",
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DisplayName: "GPT 5.5",
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Description: "Frontier model for complex coding, research, and real-world work.",
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ContextLength: 272000,
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Thinking: ®istry.ThinkingSupport{Levels: []string{"low", "medium", "high", "xhigh"}},
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},
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{
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ID: "custom-codex-model-test",
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Object: "model",
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OwnedBy: "test",
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Type: "openai",
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DisplayName: "Custom Codex Model",
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Description: "Custom model from registry",
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ContextLength: 123456,
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Thinking: ®istry.ThinkingSupport{Levels: []string{"low", "medium"}},
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},
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{ID: "grok-imagine-image-quality", Object: "model", OwnedBy: "xai", Type: "openai"},
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{ID: "gpt-image-2", Object: "model", OwnedBy: "openai", Type: "openai"},
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{ID: "grok-imagine-image", Object: "model", OwnedBy: "xai", Type: "openai"},
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{ID: "grok-imagine-video", Object: "model", OwnedBy: "xai", Type: "openai"},
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})
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t.Cleanup(func() {
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modelRegistry.UnregisterClient(clientID)
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})
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server := newTestServer(t)
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req := httptest.NewRequest(http.MethodGet, "/v1/models?client_version", nil)
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req.Header.Set("Authorization", "Bearer test-key")
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req.Header.Set("User-Agent", "claude-cli/1.0")
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rr := httptest.NewRecorder()
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server.engine.ServeHTTP(rr, req)
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if rr.Code != http.StatusOK {
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t.Fatalf("status = %d, want %d body=%s", rr.Code, http.StatusOK, rr.Body.String())
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}
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var resp struct {
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Models []map[string]any `json:"models"`
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Object string `json:"object"`
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Data []any `json:"data"`
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}
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if err := json.Unmarshal(rr.Body.Bytes(), &resp); err != nil {
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t.Fatalf("failed to parse response JSON: %v; body=%s", err, rr.Body.String())
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}
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if resp.Object != "" || resp.Data != nil {
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t.Fatalf("expected codex catalog format without object/data, got object=%q data=%v", resp.Object, resp.Data)
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}
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if len(resp.Models) == 0 {
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t.Fatal("expected codex catalog models")
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}
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var gpt55 map[string]any
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var custom map[string]any
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for _, model := range resp.Models {
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switch slug, _ := model["slug"].(string); slug {
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case "gpt-5.5":
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gpt55 = model
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case "custom-codex-model-test":
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custom = model
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}
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}
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if gpt55 == nil {
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t.Fatal("expected gpt-5.5 codex catalog entry")
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}
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if _, ok := gpt55["minimal_client_version"]; !ok {
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t.Fatal("expected minimal_client_version in codex catalog")
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}
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serviceTiers, ok := gpt55["service_tiers"].([]any)
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if !ok || len(serviceTiers) != 1 {
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t.Fatalf("expected gpt-5.5 priority service tier, got %#v", gpt55["service_tiers"])
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}
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if custom == nil {
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t.Fatal("expected custom model codex catalog entry")
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}
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if got, _ := custom["display_name"].(string); got != "Custom Codex Model" {
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t.Fatalf("custom display_name = %q, want Custom Codex Model", got)
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}
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if got, _ := custom["description"].(string); got != "Custom model from registry" {
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t.Fatalf("custom description = %q, want Custom model from registry", got)
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}
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if got, _ := custom["context_window"].(float64); got != 123456 {
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t.Fatalf("custom context_window = %v, want 123456", custom["context_window"])
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}
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if custom["base_instructions"] != gpt55["base_instructions"] {
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t.Fatal("expected custom model to use gpt-5.5 base_instructions fallback")
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}
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if _, ok := custom["available_in_plans"].([]any); !ok {
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t.Fatalf("expected custom model to use gpt-5.5 available_in_plans fallback, got %#v", custom["available_in_plans"])
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}
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if got, _ := custom["prefer_websockets"].(bool); got {
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t.Fatalf("custom prefer_websockets = %v, want false", custom["prefer_websockets"])
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}
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if _, ok := custom["apply_patch_tool_type"]; ok {
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t.Fatal("expected custom model to omit apply_patch_tool_type")
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}
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hiddenModels := map[string]bool{
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"grok-imagine-image-quality": false,
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"gpt-image-2": false,
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"grok-imagine-image": false,
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"grok-imagine-video": false,
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}
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for _, model := range resp.Models {
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slug, _ := model["slug"].(string)
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if _, ok := hiddenModels[slug]; !ok {
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continue
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}
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if visibility, _ := model["visibility"].(string); visibility != "hide" {
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t.Fatalf("%s visibility = %q, want hide", slug, visibility)
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}
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hiddenModels[slug] = true
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}
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for slug, found := range hiddenModels {
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if !found {
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t.Fatalf("expected hidden model %s in codex catalog", slug)
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}
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}
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}
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func TestDefaultRequestLoggerFactory_UsesResolvedLogDirectory(t *testing.T) {
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t.Setenv("WRITABLE_PATH", "")
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t.Setenv("writable_path", "")
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