refactor provider interface to return models with metadata

- replaced old TranscriptionModels/LLMModels/SupportsX methods with Models() []Model
- added DefaultModel(t ModelType), IsLocal() to interface
- added helpers: GetModel, ModelsOfType, FindModelByID, ModelsForLanguage, ValidateModelLanguage
- all providers now return full Model metadata with SupportedLanguages, AdapterType, Endpoint
- groq distil-whisper-large-v3-en marked as english-only
- updated TUI to use new interface

internal/provider/elevenlabs.go

@@ -1,5 +1,7 @@
 package provider
 
+import "github.com/leonardotrapani/hyprvoice/internal/language"
+
 // ElevenLabsProvider implements Provider for ElevenLabs services (transcription only)
 type ElevenLabsProvider struct{}
 
@@ -16,26 +18,43 @@ func (p *ElevenLabsProvider) ValidateAPIKey(key string) bool {
 	return len(key) > 0
 }
 
-func (p *ElevenLabsProvider) SupportsTranscription() bool {
+func (p *ElevenLabsProvider) IsLocal() bool {
-	return true
-}
-
-func (p *ElevenLabsProvider) SupportsLLM() bool {
 	return false
 }
 
-func (p *ElevenLabsProvider) DefaultTranscriptionModel() string {
+func (p *ElevenLabsProvider) Models() []Model {
+	allLangs := language.AllLanguageCodes()
+
+	return []Model{
+		{
+			ID:                 "scribe_v1",
+			Name:               "Scribe v1",
+			Description:        "99 languages, best accuracy",
+			Type:               Transcription,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "elevenlabs",
+			SupportedLanguages: allLangs,
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.elevenlabs.io", Path: "/v1/speech-to-text"},
+		},
+		{
+			ID:                 "scribe_v2",
+			Name:               "Scribe v2",
+			Description:        "Lower latency, real-time optimized",
+			Type:               Transcription,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "elevenlabs",
+			SupportedLanguages: allLangs,
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.elevenlabs.io", Path: "/v1/speech-to-text"},
+		},
+	}
+}
+
+func (p *ElevenLabsProvider) DefaultModel(t ModelType) string {
+	switch t {
+	case Transcription:
 		return "scribe_v1"
 	}
-
-func (p *ElevenLabsProvider) DefaultLLMModel() string {
 	return ""
 }
-
-func (p *ElevenLabsProvider) TranscriptionModels() []string {
-	return []string{"scribe_v1", "scribe_v2"}
-}
-
-func (p *ElevenLabsProvider) LLMModels() []string {
-	return nil
-}

internal/provider/groq.go

@@ -1,6 +1,10 @@
 package provider
 
-import "strings"
+import (
+	"strings"
+
+	"github.com/leonardotrapani/hyprvoice/internal/language"
+)
 
 // GroqProvider implements Provider for Groq services
 type GroqProvider struct{}
@@ -17,26 +21,91 @@ func (p *GroqProvider) ValidateAPIKey(key string) bool {
 	return strings.HasPrefix(key, "gsk_")
 }
 
-func (p *GroqProvider) SupportsTranscription() bool {
+func (p *GroqProvider) IsLocal() bool {
-	return true
+	return false
 }
 
-func (p *GroqProvider) SupportsLLM() bool {
+func (p *GroqProvider) Models() []Model {
-	return true
+	allLangs := language.AllLanguageCodes()
+
+	return []Model{
+		// transcription models
+		{
+			ID:                 "whisper-large-v3",
+			Name:               "Whisper Large v3",
+			Description:        "Full Whisper v3 model, best accuracy",
+			Type:               Transcription,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "openai",
+			SupportedLanguages: allLangs,
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.groq.com/openai", Path: "/v1/audio/transcriptions"},
+		},
+		{
+			ID:                 "whisper-large-v3-turbo",
+			Name:               "Whisper Large v3 Turbo",
+			Description:        "Faster Whisper v3 with slightly lower accuracy",
+			Type:               Transcription,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "openai",
+			SupportedLanguages: allLangs,
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.groq.com/openai", Path: "/v1/audio/transcriptions"},
+		},
+		{
+			ID:                 "distil-whisper-large-v3-en",
+			Name:               "Distil Whisper Large v3 EN",
+			Description:        "English-only, fastest option",
+			Type:               Transcription,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "openai",
+			SupportedLanguages: []string{"en"},
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.groq.com/openai", Path: "/v1/audio/transcriptions"},
+		},
+		// LLM models
+		{
+			ID:                 "llama-3.3-70b-versatile",
+			Name:               "Llama 3.3 70B Versatile",
+			Description:        "Most capable Llama model",
+			Type:               LLM,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "openai",
+			SupportedLanguages: allLangs,
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.groq.com/openai", Path: "/v1/chat/completions"},
+		},
+		{
+			ID:                 "llama-3.1-8b-instant",
+			Name:               "Llama 3.1 8B Instant",
+			Description:        "Fast and efficient",
+			Type:               LLM,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "openai",
+			SupportedLanguages: allLangs,
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.groq.com/openai", Path: "/v1/chat/completions"},
+		},
+		{
+			ID:                 "mixtral-8x7b-32768",
+			Name:               "Mixtral 8x7B",
+			Description:        "Mixture of experts model",
+			Type:               LLM,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "openai",
+			SupportedLanguages: allLangs,
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.groq.com/openai", Path: "/v1/chat/completions"},
+		},
+	}
 }
 
-func (p *GroqProvider) DefaultTranscriptionModel() string {
+func (p *GroqProvider) DefaultModel(t ModelType) string {
+	switch t {
+	case Transcription:
 		return "whisper-large-v3-turbo"
-}
+	case LLM:
-
-func (p *GroqProvider) DefaultLLMModel() string {
 		return "llama-3.3-70b-versatile"
 	}
-
+	return ""
-func (p *GroqProvider) TranscriptionModels() []string {
-	return []string{"whisper-large-v3", "whisper-large-v3-turbo"}
-}
-
-func (p *GroqProvider) LLMModels() []string {
-	return []string{"llama-3.3-70b-versatile", "llama-3.1-8b-instant", "mixtral-8x7b-32768"}
 }

internal/provider/mistral.go

@@ -1,5 +1,7 @@
 package provider
 
+import "github.com/leonardotrapani/hyprvoice/internal/language"
+
 // MistralProvider implements Provider for Mistral services (transcription only)
 type MistralProvider struct{}
 
@@ -16,26 +18,43 @@ func (p *MistralProvider) ValidateAPIKey(key string) bool {
 	return len(key) > 0
 }
 
-func (p *MistralProvider) SupportsTranscription() bool {
+func (p *MistralProvider) IsLocal() bool {
-	return true
-}
-
-func (p *MistralProvider) SupportsLLM() bool {
 	return false
 }
 
-func (p *MistralProvider) DefaultTranscriptionModel() string {
+func (p *MistralProvider) Models() []Model {
+	allLangs := language.AllLanguageCodes()
+
+	return []Model{
+		{
+			ID:                 "voxtral-mini-latest",
+			Name:               "Voxtral Mini Latest",
+			Description:        "Latest Voxtral model, best for most uses",
+			Type:               Transcription,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "openai",
+			SupportedLanguages: allLangs,
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.mistral.ai", Path: "/v1/audio/transcriptions"},
+		},
+		{
+			ID:                 "voxtral-mini-2507",
+			Name:               "Voxtral Mini 2507",
+			Description:        "Stable Voxtral version from July 2025",
+			Type:               Transcription,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "openai",
+			SupportedLanguages: allLangs,
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.mistral.ai", Path: "/v1/audio/transcriptions"},
+		},
+	}
+}
+
+func (p *MistralProvider) DefaultModel(t ModelType) string {
+	switch t {
+	case Transcription:
 		return "voxtral-mini-latest"
 	}
-
-func (p *MistralProvider) DefaultLLMModel() string {
 	return ""
 }
-
-func (p *MistralProvider) TranscriptionModels() []string {
-	return []string{"voxtral-mini-latest", "voxtral-mini-2507"}
-}
-
-func (p *MistralProvider) LLMModels() []string {
-	return nil
-}

internal/provider/openai.go

@@ -1,6 +1,10 @@
 package provider
 
-import "strings"
+import (
+	"strings"
+
+	"github.com/leonardotrapani/hyprvoice/internal/language"
+)
 
 // OpenAIProvider implements Provider for OpenAI services
 type OpenAIProvider struct{}
@@ -17,26 +21,80 @@ func (p *OpenAIProvider) ValidateAPIKey(key string) bool {
 	return strings.HasPrefix(key, "sk-")
 }
 
-func (p *OpenAIProvider) SupportsTranscription() bool {
+func (p *OpenAIProvider) IsLocal() bool {
-	return true
+	return false
 }
 
-func (p *OpenAIProvider) SupportsLLM() bool {
+func (p *OpenAIProvider) Models() []Model {
-	return true
+	allLangs := language.AllLanguageCodes()
+
+	return []Model{
+		// transcription models
+		{
+			ID:                 "whisper-1",
+			Name:               "Whisper 1",
+			Description:        "OpenAI's production speech-to-text model",
+			Type:               Transcription,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "openai",
+			SupportedLanguages: allLangs,
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.openai.com", Path: "/v1/audio/transcriptions"},
+		},
+		// LLM models
+		{
+			ID:                 "gpt-4o-mini",
+			Name:               "GPT-4o Mini",
+			Description:        "Fast and affordable GPT-4 variant",
+			Type:               LLM,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "openai",
+			SupportedLanguages: allLangs,
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.openai.com", Path: "/v1/chat/completions"},
+		},
+		{
+			ID:                 "gpt-4o",
+			Name:               "GPT-4o",
+			Description:        "Most capable GPT-4 model",
+			Type:               LLM,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "openai",
+			SupportedLanguages: allLangs,
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.openai.com", Path: "/v1/chat/completions"},
+		},
+		{
+			ID:                 "gpt-4-turbo",
+			Name:               "GPT-4 Turbo",
+			Description:        "Faster GPT-4 with large context window",
+			Type:               LLM,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "openai",
+			SupportedLanguages: allLangs,
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.openai.com", Path: "/v1/chat/completions"},
+		},
+		{
+			ID:                 "gpt-3.5-turbo",
+			Name:               "GPT-3.5 Turbo",
+			Description:        "Fast and cost-effective",
+			Type:               LLM,
+			Streaming:          false,
+			Local:              false,
+			AdapterType:        "openai",
+			SupportedLanguages: allLangs,
+			Endpoint:           &EndpointConfig{BaseURL: "https://api.openai.com", Path: "/v1/chat/completions"},
+		},
+	}
 }
 
-func (p *OpenAIProvider) DefaultTranscriptionModel() string {
+func (p *OpenAIProvider) DefaultModel(t ModelType) string {
+	switch t {
+	case Transcription:
 		return "whisper-1"
-}
+	case LLM:
-
-func (p *OpenAIProvider) DefaultLLMModel() string {
 		return "gpt-4o-mini"
 	}
-
+	return ""
-func (p *OpenAIProvider) TranscriptionModels() []string {
-	return []string{"whisper-1"}
-}
-
-func (p *OpenAIProvider) LLMModels() []string {
-	return []string{"gpt-4o-mini", "gpt-4o", "gpt-4-turbo", "gpt-3.5-turbo"}
 }

internal/provider/provider.go

@@ -1,16 +1,19 @@
 package provider
 
+import (
+	"errors"
+	"fmt"
+	"strings"
+)
+
 // Provider defines the interface for a transcription/LLM service provider
 type Provider interface {
 	Name() string
 	RequiresAPIKey() bool
 	ValidateAPIKey(key string) bool
-	SupportsTranscription() bool
+	IsLocal() bool
-	SupportsLLM() bool
+	Models() []Model
-	DefaultTranscriptionModel() string
+	DefaultModel(t ModelType) string
-	DefaultLLMModel() string
-	TranscriptionModels() []string
-	LLMModels() []string
 }
 
 // ProviderConfig holds configuration for a single provider
@@ -50,7 +53,7 @@ func ListProviders() []string {
 func ListProvidersWithTranscription() []string {
 	var names []string
 	for name, p := range registry {
-		if p.SupportsTranscription() {
+		if hasModelsOfType(p, Transcription) {
 			names = append(names, name)
 		}
 	}
@@ -61,9 +64,104 @@ func ListProvidersWithTranscription() []string {
 func ListProvidersWithLLM() []string {
 	var names []string
 	for name, p := range registry {
-		if p.SupportsLLM() {
+		if hasModelsOfType(p, LLM) {
 			names = append(names, name)
 		}
 	}
 	return names
 }
+
+// hasModelsOfType returns true if provider has any models of the given type
+func hasModelsOfType(p Provider, t ModelType) bool {
+	for _, m := range p.Models() {
+		if m.Type == t {
+			return true
+		}
+	}
+	return false
+}
+
+// GetModel returns a model from a specific provider, or error if not found
+func GetModel(providerName, modelID string) (*Model, error) {
+	p := GetProvider(providerName)
+	if p == nil {
+		return nil, fmt.Errorf("unknown provider: %s", providerName)
+	}
+
+	for _, m := range p.Models() {
+		if m.ID == modelID {
+			return &m, nil
+		}
+	}
+	return nil, fmt.Errorf("model %s not found in provider %s", modelID, providerName)
+}
+
+// ModelsOfType returns all models of the given type from a provider
+func ModelsOfType(p Provider, t ModelType) []Model {
+	var result []Model
+	for _, m := range p.Models() {
+		if m.Type == t {
+			result = append(result, m)
+		}
+	}
+	return result
+}
+
+// FindModelByID searches all providers for a model with the given ID
+func FindModelByID(modelID string) (*Model, Provider, error) {
+	for _, p := range registry {
+		for _, m := range p.Models() {
+			if m.ID == modelID {
+				return &m, p, nil
+			}
+		}
+	}
+	return nil, nil, fmt.Errorf("model %s not found in any provider", modelID)
+}
+
+// ModelsForLanguage returns models from a provider that support the given language
+func ModelsForLanguage(p Provider, t ModelType, langCode string) []Model {
+	var result []Model
+	for _, m := range p.Models() {
+		if m.Type == t && m.SupportsLanguage(langCode) {
+			result = append(result, m)
+		}
+	}
+	return result
+}
+
+// ValidateModelLanguage checks if a model supports the given language.
+// Returns error with list of supported languages if not supported.
+// Returns nil if langCode is "" (auto) - auto is always supported.
+func ValidateModelLanguage(providerName, modelID, langCode string) error {
+	if langCode == "" {
+		return nil // auto always supported
+	}
+
+	model, err := GetModel(providerName, modelID)
+	if err != nil {
+		return err
+	}
+
+	if model.SupportsLanguage(langCode) {
+		return nil
+	}
+
+	// truncate supported languages list for error message
+	supported := model.SupportedLanguages
+	if len(supported) > 10 {
+		supported = append(supported[:10], "...")
+	}
+
+	return fmt.Errorf(
+		"model %s does not support language '%s'. Supported: %s",
+		modelID,
+		langCode,
+		strings.Join(supported, ", "),
+	)
+}
+
+var (
+	ErrProviderNotFound = errors.New("provider not found")
+	ErrModelNotFound    = errors.New("model not found")
+)

internal/provider/provider_test.go

@@ -10,13 +10,14 @@ func TestProviderInterface(t *testing.T) {
 		name              string
 		hasTranscription  bool
 		hasLLM            bool
+		isLocal           bool
 		defaultTransModel string
 		defaultLLMModel   string
 	}{
-		{"openai", true, true, "whisper-1", "gpt-4o-mini"},
+		{"openai", true, true, false, "whisper-1", "gpt-4o-mini"},
-		{"groq", true, true, "whisper-large-v3-turbo", "llama-3.3-70b-versatile"},
+		{"groq", true, true, false, "whisper-large-v3-turbo", "llama-3.3-70b-versatile"},
-		{"mistral", true, false, "voxtral-mini-latest", ""},
+		{"mistral", true, false, false, "voxtral-mini-latest", ""},
-		{"elevenlabs", true, false, "scribe_v1", ""},
+		{"elevenlabs", true, false, false, "scribe_v1", ""},
 	}
 
 	for _, tc := range providers {
@@ -30,32 +31,38 @@ func TestProviderInterface(t *testing.T) {
 				t.Errorf("Name() = %q, want %q", p.Name(), tc.name)
 			}
 
-			if p.SupportsTranscription() != tc.hasTranscription {
+			hasTranscription := len(ModelsOfType(p, Transcription)) > 0
-				t.Errorf("SupportsTranscription() = %v, want %v", p.SupportsTranscription(), tc.hasTranscription)
+			if hasTranscription != tc.hasTranscription {
+				t.Errorf("hasTranscription = %v, want %v", hasTranscription, tc.hasTranscription)
 			}
 
-			if p.SupportsLLM() != tc.hasLLM {
+			hasLLM := len(ModelsOfType(p, LLM)) > 0
-				t.Errorf("SupportsLLM() = %v, want %v", p.SupportsLLM(), tc.hasLLM)
+			if hasLLM != tc.hasLLM {
+				t.Errorf("hasLLM = %v, want %v", hasLLM, tc.hasLLM)
 			}
 
-			if p.DefaultTranscriptionModel() != tc.defaultTransModel {
+			if p.IsLocal() != tc.isLocal {
-				t.Errorf("DefaultTranscriptionModel() = %q, want %q", p.DefaultTranscriptionModel(), tc.defaultTransModel)
+				t.Errorf("IsLocal() = %v, want %v", p.IsLocal(), tc.isLocal)
 			}
 
-			if p.DefaultLLMModel() != tc.defaultLLMModel {
+			if p.DefaultModel(Transcription) != tc.defaultTransModel {
-				t.Errorf("DefaultLLMModel() = %q, want %q", p.DefaultLLMModel(), tc.defaultLLMModel)
+				t.Errorf("DefaultModel(Transcription) = %q, want %q", p.DefaultModel(Transcription), tc.defaultTransModel)
+			}
+
+			if p.DefaultModel(LLM) != tc.defaultLLMModel {
+				t.Errorf("DefaultModel(LLM) = %q, want %q", p.DefaultModel(LLM), tc.defaultLLMModel)
 			}
 
 			if !p.RequiresAPIKey() {
-				t.Error("RequiresAPIKey() should be true for all providers")
+				t.Error("RequiresAPIKey() should be true for all cloud providers")
 			}
 
-			if tc.hasTranscription && len(p.TranscriptionModels()) == 0 {
+			if tc.hasTranscription && len(ModelsOfType(p, Transcription)) == 0 {
-				t.Error("TranscriptionModels() should not be empty for transcription provider")
+				t.Error("should have transcription models")
 			}
 
-			if tc.hasLLM && len(p.LLMModels()) == 0 {
+			if tc.hasLLM && len(ModelsOfType(p, LLM)) == 0 {
-				t.Error("LLMModels() should not be empty for LLM provider")
+				t.Error("should have LLM models")
 			}
 		})
 	}
@@ -137,3 +144,119 @@ func TestValidateAPIKey(t *testing.T) {
 		})
 	}
 }
+
+func TestGetModel(t *testing.T) {
+	// valid provider and model
+	m, err := GetModel("openai", "whisper-1")
+	if err != nil {
+		t.Errorf("GetModel('openai', 'whisper-1') unexpected error: %v", err)
+	}
+	if m == nil {
+		t.Fatal("GetModel returned nil model")
+	}
+	if m.ID != "whisper-1" {
+		t.Errorf("GetModel returned model with ID %q, want 'whisper-1'", m.ID)
+	}
+
+	// unknown provider
+	_, err = GetModel("nonexistent", "whisper-1")
+	if err == nil {
+		t.Error("GetModel('nonexistent', ...) should return error")
+	}
+
+	// unknown model
+	_, err = GetModel("openai", "nonexistent")
+	if err == nil {
+		t.Error("GetModel('openai', 'nonexistent') should return error")
+	}
+}
+
+func TestModelsOfType(t *testing.T) {
+	p := GetProvider("openai")
+	trans := ModelsOfType(p, Transcription)
+	llm := ModelsOfType(p, LLM)
+
+	if len(trans) != 1 {
+		t.Errorf("ModelsOfType(Transcription) = %d, want 1", len(trans))
+	}
+	if len(llm) != 4 {
+		t.Errorf("ModelsOfType(LLM) = %d, want 4", len(llm))
+	}
+}
+
+func TestFindModelByID(t *testing.T) {
+	// find model that exists
+	m, p, err := FindModelByID("whisper-1")
+	if err != nil {
+		t.Errorf("FindModelByID('whisper-1') unexpected error: %v", err)
+	}
+	if m == nil || p == nil {
+		t.Fatal("FindModelByID returned nil")
+	}
+	if m.ID != "whisper-1" {
+		t.Errorf("FindModelByID returned model %q, want 'whisper-1'", m.ID)
+	}
+	if p.Name() != "openai" {
+		t.Errorf("FindModelByID returned provider %q, want 'openai'", p.Name())
+	}
+
+	// model not found
+	_, _, err = FindModelByID("nonexistent")
+	if err == nil {
+		t.Error("FindModelByID('nonexistent') should return error")
+	}
+}
+
+func TestModelsForLanguage(t *testing.T) {
+	groq := GetProvider("groq")
+
+	// en should include all models (distil supports en)
+	enModels := ModelsForLanguage(groq, Transcription, "en")
+	if len(enModels) != 3 {
+		t.Errorf("ModelsForLanguage('en') = %d, want 3", len(enModels))
+	}
+
+	// es should exclude distil-whisper-large-v3-en
+	esModels := ModelsForLanguage(groq, Transcription, "es")
+	if len(esModels) != 2 {
+		t.Errorf("ModelsForLanguage('es') = %d, want 2 (distil excluded)", len(esModels))
+	}
+
+	// auto ("") should include all models
+	autoModels := ModelsForLanguage(groq, Transcription, "")
+	if len(autoModels) != 3 {
+		t.Errorf("ModelsForLanguage('') = %d, want 3 (auto returns all)", len(autoModels))
+	}
+}
+
+func TestValidateModelLanguage(t *testing.T) {
+	// valid language for multilingual model
+	err := ValidateModelLanguage("groq", "whisper-large-v3", "es")
+	if err != nil {
+		t.Errorf("ValidateModelLanguage(whisper-large-v3, 'es') unexpected error: %v", err)
+	}
+
+	// invalid language for English-only model
+	err = ValidateModelLanguage("groq", "distil-whisper-large-v3-en", "es")
+	if err == nil {
+		t.Error("ValidateModelLanguage(distil-whisper, 'es') should return error")
+	}
+
+	// auto always passes
+	err = ValidateModelLanguage("groq", "distil-whisper-large-v3-en", "")
+	if err != nil {
+		t.Errorf("ValidateModelLanguage(distil-whisper, '') should pass (auto): %v", err)
+	}
+
+	// unknown provider
+	err = ValidateModelLanguage("nonexistent", "whisper-1", "en")
+	if err == nil {
+		t.Error("ValidateModelLanguage with unknown provider should return error")
+	}
+
+	// unknown model
+	err = ValidateModelLanguage("openai", "nonexistent", "en")
+	if err == nil {
+		t.Error("ValidateModelLanguage with unknown model should return error")
+	}
+}

internal/tui/configure_llm.go

@@ -13,7 +13,7 @@ func editLLM(cfg *config.Config, configuredProviders []string) ([]string, error)
 	var llmProviders []string
 	for _, name := range configuredProviders {
 		p := provider.GetProvider(name)
-		if p != nil && p.SupportsLLM() {
+		if p != nil && len(provider.ModelsOfType(p, provider.LLM)) > 0 {
 			llmProviders = append(llmProviders, name)
 		}
 	}

internal/tui/configure_transcription.go

@@ -13,7 +13,7 @@ func editTranscription(cfg *config.Config, configuredProviders []string) ([]stri
 	var transcriptionOptions []huh.Option[string]
 	for _, name := range configuredProviders {
 		p := provider.GetProvider(name)
-		if p != nil && p.SupportsTranscription() {
+		if p != nil && len(provider.ModelsOfType(p, provider.Transcription)) > 0 {
 			switch name {
 			case "openai":
 				transcriptionOptions = append(transcriptionOptions,

progress.txt

@@ -26,3 +26,17 @@ Started: Sun Feb  1 12:22:47 AM CET 2026
 - Helper methods: NeedsDownload(), IsStreaming(), SupportsLanguage(code), SupportsAllLanguages()
 - SupportsLanguage("") always returns true (auto always allowed)
 - All tests passing, typecheck passes
+
+### Task 4: Refactor Provider interface to return Models
+- Updated `internal/provider/provider.go` Provider interface
+- Replaced old methods with: Models() []Model, DefaultModel(t ModelType) string, IsLocal() bool
+- Added package-level helpers:
+  - GetModel(providerName, modelID string) (*Model, error)
+  - ModelsOfType(p Provider, t ModelType) []Model
+  - FindModelByID(modelID string) (*Model, Provider, error)
+  - ModelsForLanguage(p Provider, t ModelType, langCode string) []Model
+  - ValidateModelLanguage(providerName, modelID, langCode string) error
+- Updated all providers (openai, groq, mistral, elevenlabs) with full Model metadata
+- Updated TUI files to use ModelsOfType instead of old SupportsTranscription/SupportsLLM
+- Added comprehensive tests for all new helper functions
+- All tests passing, typecheck passes

tasks/prd.jsonc

@@ -110,7 +110,7 @@
 				"ValidateModelLanguage returns nil for '' (auto) on any model",
 				"Typecheck passes"
 			],
-			"passes": false
+			"passes": true
 		},
 		{
 			"title": "Define BatchAdapter and StreamingAdapter interfaces",