fix: improve LLM provider support and detection accuracy

  - Remove Anthropic provider (incomplete implementation)
  - Use Claude via OpenRouter instead (anthropic/claude-sonnet-4.5)
  - Show active model in Settings screen for better visibility
  - Increase confidence to 1.0 for clearly safe inputs
  - Fix OpenAI temperature parameter (now 1 instead of 0)
  - Clean up version command output

Author: mdombrov-33

README.md

@@ -147,13 +147,7 @@ guard := detector.New(
     detector.WithLLM(judge, detector.LLMConditional),
 )
 
-// Anthropic - use any model (claude-3-opus, claude-3-sonnet, etc.)
-judge := detector.NewAnthropicJudge(apiKey, "claude-3-opus-20240229")
-guard := detector.New(
-    detector.WithLLM(judge, detector.LLMAlways),
-)
-
-// OpenRouter - use any provider/model combo
+// OpenRouter - use any provider/model combo (including Claude via anthropic/...)
 judge := detector.NewOpenRouterJudge(apiKey, "anthropic/claude-sonnet-4.5")
 guard := detector.New(
     detector.WithLLM(judge, detector.LLMConditional),
@@ -192,11 +186,8 @@ Create a `.env` file in your project directory:
 OPENAI_API_KEY=sk-...
 OPENAI_MODEL=gpt-5
 
-# Anthropic (defaults to claude-sonnet-4-5-20250929 if not set)
-ANTHROPIC_API_KEY=sk-ant-...
-ANTHROPIC_MODEL=claude-sonnet-4-5-20250929
-
 # OpenRouter (defaults to anthropic/claude-sonnet-4.5 if not set)
+# Provides access to Claude, Gemini, and other models
 OPENROUTER_API_KEY=sk-or-...
 OPENROUTER_MODEL=anthropic/claude-sonnet-4.5
 

cmd/go-promptguard/interactive.go

@@ -130,12 +130,6 @@ func initialModel() model {
 			defaultProvider = "openrouter"
 		}
 	}
-	if os.Getenv("ANTHROPIC_API_KEY") != "" {
-		availableProviders = append(availableProviders, "anthropic")
-		if defaultProvider == "none" {
-			defaultProvider = "anthropic"
-		}
-	}
 	availableProviders = append(availableProviders, "ollama")
 	if defaultProvider == "none" {
 		defaultProvider = "ollama"
@@ -212,12 +206,6 @@ func (m *model) updateGuard() {
 				model = "anthropic/claude-sonnet-4.5"
 			}
 			judge = detector.NewOpenRouterJudge(os.Getenv("OPENROUTER_API_KEY"), model)
-		case "anthropic":
-			model := os.Getenv("ANTHROPIC_MODEL")
-			if model == "" {
-				model = "claude-sonnet-4-5-20250929"
-			}
-			judge = detector.NewAnthropicJudge(os.Getenv("ANTHROPIC_API_KEY"), model)
 		case "ollama":
 			ollamaHost := os.Getenv("OLLAMA_HOST")
 			if ollamaHost == "" {
@@ -863,6 +851,29 @@ func (m model) viewSettings() string {
 	}
 	content.WriteString(selector(10, fmt.Sprintf("[0] Provider             %s", providerDisplay)) + "\n")
 
+	// Show active model for current provider
+	if m.llmProvider != "none" {
+		var modelName string
+		switch m.llmProvider {
+		case "openai":
+			modelName = os.Getenv("OPENAI_MODEL")
+			if modelName == "" {
+				modelName = "gpt-5 (default)"
+			}
+		case "openrouter":
+			modelName = os.Getenv("OPENROUTER_MODEL")
+			if modelName == "" {
+				modelName = "anthropic/claude-sonnet-4.5 (default)"
+			}
+		case "ollama":
+			modelName = os.Getenv("OLLAMA_MODEL")
+			if modelName == "" {
+				modelName = "llama3.1:8b (default)"
+			}
+		}
+		content.WriteString(lipgloss.NewStyle().Foreground(mutedColor).Render(fmt.Sprintf("      Model: %s\n", modelName)))
+	}
+
 	if len(m.availableProviders) > 1 {
 		capitalizedProviders := make([]string, len(m.availableProviders))
 		for i, p := range m.availableProviders {
@@ -997,8 +1008,6 @@ func capitalizeProviderName(p string) string {
 		return "OpenAI"
 	case "openrouter":
 		return "OpenRouter"
-	case "anthropic":
-		return "Anthropic"
 	case "ollama":
 		return "Ollama"
 	case "none":

detector/llm_constructors.go

@@ -47,15 +47,3 @@ func NewOllamaJudgeWithEndpoint(endpoint, model string, opts ...LLMJudgeOption)
 	)
 }
 
-// NewAnthropicJudge creates an LLM judge for Anthropic API.
-// Note: Anthropic's API format differs slightly from OpenAI.
-// Consider using OpenRouter for Anthropic models instead.
-// Recommended models: claude-sonnet-4-5-20250929, claude-haiku-4-5-20251001
-func NewAnthropicJudge(apiKey, model string, opts ...LLMJudgeOption) LLMJudge {
-	return NewGenericLLMJudge(
-		"https://api.anthropic.com/v1/messages",
-		apiKey,
-		model,
-		opts...,
-	)
-}

detector/llm_generic.go

@@ -86,7 +86,7 @@ func (j *GenericLLMJudge) Judge(ctx context.Context, input string) (LLMResult, e
 			{"role": "system", "content": j.systemPrompt},
 			{"role": "user", "content": buildUserPrompt(input)},
 		},
-		"temperature": 0, //* Deterministic output
+		"temperature": 1,
 	}
 
 	//* If structured mode, request JSON response

detector/multi_detector.go

@@ -140,7 +140,7 @@ func (md *MultiDetector) Detect(ctx context.Context, input string) Result {
 	} else {
 		// No detections after checking all detectors = high confidence it's safe
 		// More detectors enabled = higher confidence
-		finalConfidence = 0.85 + (0.05 * float64(len(md.detectors)) / 7.0)
+		finalConfidence = 0.95 + (0.05 * float64(len(md.detectors)) / 7.0)
 		if finalConfidence > 1.0 {
 			finalConfidence = 1.0
 		}
@@ -199,7 +199,7 @@ func (md *MultiDetector) Detect(ctx context.Context, input string) Result {
 			}
 		} else {
 			// Still no detections even after LLM check = very high confidence it's safe
-			finalConfidence = 0.90
+			finalConfidence = 1.0
 		}
 	}