feat(thinking): add numeric budget to thinkingLevel conversion fallback

internal/util/gemini_thinking.go

@@ -288,49 +288,73 @@ func ApplyDefaultThinkingIfNeeded(model string, body []byte) []byte {
 
 // ApplyGemini3ThinkingLevelFromMetadata applies thinkingLevel from metadata for Gemini 3 models.
 // For standard Gemini API format (generationConfig.thinkingConfig path).
-// This handles the case where reasoning_effort is specified via model name suffix (e.g., model(minimal)).
+// This handles the case where reasoning_effort is specified via model name suffix (e.g., model(minimal))
+// or numeric budget suffix (e.g., model(1000)) which gets converted to a thinkingLevel.
 func ApplyGemini3ThinkingLevelFromMetadata(model string, metadata map[string]any, body []byte) []byte {
 	// Use the alias from metadata if available for model type detection
 	lookupModel := ResolveOriginalModel(model, metadata)
 	if !IsGemini3Model(lookupModel) && !IsGemini3Model(model) {
 		return body
 	}
-	effort, ok := ReasoningEffortFromMetadata(metadata)
+
-	if !ok || effort == "" {
+	// Determine which model to use for validation
-		return body
-	}
-	// Validate and apply the thinkingLevel using the model that matches Gemini 3 pattern
 	checkModel := model
 	if IsGemini3Model(lookupModel) {
 		checkModel = lookupModel
 	}
+
+	// First try to get effort string from metadata
+	effort, ok := ReasoningEffortFromMetadata(metadata)
+	if ok && effort != "" {
 		if level, valid := ValidateGemini3ThinkingLevel(checkModel, effort); valid {
 			return ApplyGeminiThinkingLevel(body, level, nil)
 		}
+	}
+
+	// Fallback: check for numeric budget and convert to thinkingLevel
+	budget, _, _, matched := ThinkingFromMetadata(metadata)
+	if matched && budget != nil {
+		if level, valid := ThinkingBudgetToGemini3Level(checkModel, *budget); valid {
+			return ApplyGeminiThinkingLevel(body, level, nil)
+		}
+	}
+
 	return body
 }
 
 // ApplyGemini3ThinkingLevelFromMetadataCLI applies thinkingLevel from metadata for Gemini 3 models.
 // For Gemini CLI API format (request.generationConfig.thinkingConfig path).
-// This handles the case where reasoning_effort is specified via model name suffix (e.g., model(minimal)).
+// This handles the case where reasoning_effort is specified via model name suffix (e.g., model(minimal))
+// or numeric budget suffix (e.g., model(1000)) which gets converted to a thinkingLevel.
 func ApplyGemini3ThinkingLevelFromMetadataCLI(model string, metadata map[string]any, body []byte) []byte {
 	// Use the alias from metadata if available for model type detection
 	lookupModel := ResolveOriginalModel(model, metadata)
 	if !IsGemini3Model(lookupModel) && !IsGemini3Model(model) {
 		return body
 	}
-	effort, ok := ReasoningEffortFromMetadata(metadata)
+
-	if !ok || effort == "" {
+	// Determine which model to use for validation
-		return body
-	}
-	// Validate and apply the thinkingLevel using the model that matches Gemini 3 pattern
 	checkModel := model
 	if IsGemini3Model(lookupModel) {
 		checkModel = lookupModel
 	}
+
+	// First try to get effort string from metadata
+	effort, ok := ReasoningEffortFromMetadata(metadata)
+	if ok && effort != "" {
 		if level, valid := ValidateGemini3ThinkingLevel(checkModel, effort); valid {
 			return ApplyGeminiCLIThinkingLevel(body, level, nil)
 		}
+	}
+
+	// Fallback: check for numeric budget and convert to thinkingLevel
+	budget, _, _, matched := ThinkingFromMetadata(metadata)
+	if matched && budget != nil {
+		if level, valid := ThinkingBudgetToGemini3Level(checkModel, *budget); valid {
+			return ApplyGeminiCLIThinkingLevel(body, level, nil)
+		}
+	}
+
 	return body
 }
 

test/model_alias_thinking_suffix_test.go

@@ -0,0 +1,193 @@
+package test
+
+import (
+	"testing"
+
+	"github.com/router-for-me/CLIProxyAPI/v6/internal/util"
+	"github.com/tidwall/gjson"
+)
+
+// TestModelAliasThinkingSuffix tests the 32 test cases defined in docs/thinking_suffix_test_cases.md
+// These tests verify the thinking suffix parsing and application logic across different providers.
+func TestModelAliasThinkingSuffix(t *testing.T) {
+	tests := []struct {
+		id            int
+		name          string
+		provider      string
+		requestModel  string
+		suffixType    string
+		expectedField string // "thinkingBudget", "thinkingLevel", "budget_tokens", "reasoning_effort", "enable_thinking"
+		expectedValue any
+		upstreamModel string // The upstream model after alias resolution
+		isAlias       bool
+	}{
+		// === 1. Antigravity Provider ===
+		// 1.1 Budget-only models (Gemini 2.5)
+		{1, "antigravity_original_numeric", "antigravity", "gemini-2.5-computer-use-preview-10-2025(1000)", "numeric", "thinkingBudget", 1000, "gemini-2.5-computer-use-preview-10-2025", false},
+		{2, "antigravity_alias_numeric", "antigravity", "gp(1000)", "numeric", "thinkingBudget", 1000, "gemini-2.5-computer-use-preview-10-2025", true},
+		// 1.2 Budget+Levels models (Gemini 3)
+		{3, "antigravity_original_numeric_to_level", "antigravity", "gemini-3-flash-preview(1000)", "numeric", "thinkingLevel", "low", "gemini-3-flash-preview", false},
+		{4, "antigravity_original_level", "antigravity", "gemini-3-flash-preview(low)", "level", "thinkingLevel", "low", "gemini-3-flash-preview", false},
+		{5, "antigravity_alias_numeric_to_level", "antigravity", "gf(1000)", "numeric", "thinkingLevel", "low", "gemini-3-flash-preview", true},
+		{6, "antigravity_alias_level", "antigravity", "gf(low)", "level", "thinkingLevel", "low", "gemini-3-flash-preview", true},
+
+		// === 2. Gemini CLI Provider ===
+		// 2.1 Budget-only models
+		{7, "gemini_cli_original_numeric", "gemini-cli", "gemini-2.5-pro(8192)", "numeric", "thinkingBudget", 8192, "gemini-2.5-pro", false},
+		{8, "gemini_cli_alias_numeric", "gemini-cli", "g25p(8192)", "numeric", "thinkingBudget", 8192, "gemini-2.5-pro", true},
+		// 2.2 Budget+Levels models
+		{9, "gemini_cli_original_numeric_to_level", "gemini-cli", "gemini-3-flash-preview(1000)", "numeric", "thinkingLevel", "low", "gemini-3-flash-preview", false},
+		{10, "gemini_cli_original_level", "gemini-cli", "gemini-3-flash-preview(low)", "level", "thinkingLevel", "low", "gemini-3-flash-preview", false},
+		{11, "gemini_cli_alias_numeric_to_level", "gemini-cli", "gf(1000)", "numeric", "thinkingLevel", "low", "gemini-3-flash-preview", true},
+		{12, "gemini_cli_alias_level", "gemini-cli", "gf(low)", "level", "thinkingLevel", "low", "gemini-3-flash-preview", true},
+
+		// === 3. Vertex Provider ===
+		// 3.1 Budget-only models
+		{13, "vertex_original_numeric", "vertex", "gemini-2.5-pro(16384)", "numeric", "thinkingBudget", 16384, "gemini-2.5-pro", false},
+		{14, "vertex_alias_numeric", "vertex", "vg25p(16384)", "numeric", "thinkingBudget", 16384, "gemini-2.5-pro", true},
+		// 3.2 Budget+Levels models
+		{15, "vertex_original_numeric_to_level", "vertex", "gemini-3-flash-preview(1000)", "numeric", "thinkingLevel", "low", "gemini-3-flash-preview", false},
+		{16, "vertex_original_level", "vertex", "gemini-3-flash-preview(low)", "level", "thinkingLevel", "low", "gemini-3-flash-preview", false},
+		{17, "vertex_alias_numeric_to_level", "vertex", "vgf(1000)", "numeric", "thinkingLevel", "low", "gemini-3-flash-preview", true},
+		{18, "vertex_alias_level", "vertex", "vgf(low)", "level", "thinkingLevel", "low", "gemini-3-flash-preview", true},
+
+		// === 4. AI Studio Provider ===
+		// 4.1 Budget-only models
+		{19, "aistudio_original_numeric", "aistudio", "gemini-2.5-pro(12000)", "numeric", "thinkingBudget", 12000, "gemini-2.5-pro", false},
+		{20, "aistudio_alias_numeric", "aistudio", "ag25p(12000)", "numeric", "thinkingBudget", 12000, "gemini-2.5-pro", true},
+		// 4.2 Budget+Levels models
+		{21, "aistudio_original_numeric_to_level", "aistudio", "gemini-3-flash-preview(1000)", "numeric", "thinkingLevel", "low", "gemini-3-flash-preview", false},
+		{22, "aistudio_original_level", "aistudio", "gemini-3-flash-preview(low)", "level", "thinkingLevel", "low", "gemini-3-flash-preview", false},
+		{23, "aistudio_alias_numeric_to_level", "aistudio", "agf(1000)", "numeric", "thinkingLevel", "low", "gemini-3-flash-preview", true},
+		{24, "aistudio_alias_level", "aistudio", "agf(low)", "level", "thinkingLevel", "low", "gemini-3-flash-preview", true},
+
+		// === 5. Claude Provider ===
+		{25, "claude_original_numeric", "claude", "claude-sonnet-4-5-20250929(16384)", "numeric", "budget_tokens", 16384, "claude-sonnet-4-5-20250929", false},
+		{26, "claude_alias_numeric", "claude", "cs45(16384)", "numeric", "budget_tokens", 16384, "claude-sonnet-4-5-20250929", true},
+
+		// === 6. Codex Provider ===
+		{27, "codex_original_level", "codex", "gpt-5(high)", "level", "reasoning_effort", "high", "gpt-5", false},
+		{28, "codex_alias_level", "codex", "g5(high)", "level", "reasoning_effort", "high", "gpt-5", true},
+
+		// === 7. Qwen Provider ===
+		{29, "qwen_original_level", "qwen", "qwen3-coder-plus(high)", "level", "enable_thinking", true, "qwen3-coder-plus", false},
+		{30, "qwen_alias_level", "qwen", "qcp(high)", "level", "enable_thinking", true, "qwen3-coder-plus", true},
+
+		// === 8. iFlow Provider ===
+		{31, "iflow_original_level", "iflow", "glm-4.7(high)", "level", "reasoning_effort", "high", "glm-4.7", false},
+		{32, "iflow_alias_level", "iflow", "glm(high)", "level", "reasoning_effort", "high", "glm-4.7", true},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			// Step 1: Parse model suffix
+			baseModel, metadata := util.NormalizeThinkingModel(tt.requestModel)
+
+			// Verify suffix was parsed
+			if metadata == nil && (tt.suffixType == "numeric" || tt.suffixType == "level") {
+				t.Errorf("Case #%d: NormalizeThinkingModel(%q) metadata is nil", tt.id, tt.requestModel)
+				return
+			}
+
+			// Step 2: For aliases, simulate the model mapping by adding upstream model info
+			if tt.isAlias {
+				if metadata == nil {
+					metadata = make(map[string]any)
+				}
+				metadata[util.ModelMappingOriginalModelMetadataKey] = baseModel
+			}
+
+			// Step 3: Verify metadata extraction
+			switch tt.suffixType {
+			case "numeric":
+				budget, _, _, matched := util.ThinkingFromMetadata(metadata)
+				if !matched {
+					t.Errorf("Case #%d: ThinkingFromMetadata did not match", tt.id)
+					return
+				}
+				if budget == nil {
+					t.Errorf("Case #%d: expected budget in metadata", tt.id)
+					return
+				}
+				// For thinkingBudget/budget_tokens, verify the parsed budget value
+				if tt.expectedField == "thinkingBudget" || tt.expectedField == "budget_tokens" {
+					expectedBudget := tt.expectedValue.(int)
+					if *budget != expectedBudget {
+						t.Errorf("Case #%d: budget = %d, want %d", tt.id, *budget, expectedBudget)
+					}
+				}
+				// For thinkingLevel (Gemini 3), verify conversion from budget to level
+				if tt.expectedField == "thinkingLevel" {
+					level, ok := util.ThinkingBudgetToGemini3Level(tt.upstreamModel, *budget)
+					if !ok {
+						t.Errorf("Case #%d: ThinkingBudgetToGemini3Level failed", tt.id)
+						return
+					}
+					expectedLevel := tt.expectedValue.(string)
+					if level != expectedLevel {
+						t.Errorf("Case #%d: converted level = %q, want %q", tt.id, level, expectedLevel)
+					}
+				}
+
+			case "level":
+				_, _, effort, matched := util.ThinkingFromMetadata(metadata)
+				if !matched {
+					t.Errorf("Case #%d: ThinkingFromMetadata did not match", tt.id)
+					return
+				}
+				if effort == nil {
+					t.Errorf("Case #%d: expected effort in metadata", tt.id)
+					return
+				}
+				if tt.expectedField == "thinkingLevel" || tt.expectedField == "reasoning_effort" {
+					expectedEffort := tt.expectedValue.(string)
+					if *effort != expectedEffort {
+						t.Errorf("Case #%d: effort = %q, want %q", tt.id, *effort, expectedEffort)
+					}
+				}
+			}
+
+			// Step 4: Test Gemini-specific thinkingLevel conversion for Gemini 3 models
+			if tt.expectedField == "thinkingLevel" && util.IsGemini3Model(tt.upstreamModel) {
+				body := []byte(`{"request":{"contents":[]}}`)
+
+				// Build metadata for the function
+				testMetadata := make(map[string]any)
+				if tt.isAlias {
+					testMetadata[util.ModelMappingOriginalModelMetadataKey] = tt.upstreamModel
+				}
+				// Copy parsed metadata
+				for k, v := range metadata {
+					testMetadata[k] = v
+				}
+
+				result := util.ApplyGemini3ThinkingLevelFromMetadataCLI(tt.upstreamModel, testMetadata, body)
+				levelVal := gjson.GetBytes(result, "request.generationConfig.thinkingConfig.thinkingLevel")
+
+				expectedLevel := tt.expectedValue.(string)
+				if !levelVal.Exists() {
+					t.Errorf("Case #%d: expected thinkingLevel in result", tt.id)
+				} else if levelVal.String() != expectedLevel {
+					t.Errorf("Case #%d: thinkingLevel = %q, want %q", tt.id, levelVal.String(), expectedLevel)
+				}
+			}
+
+			// Step 5: Test Gemini 2.5 thinkingBudget application
+			if tt.expectedField == "thinkingBudget" && util.IsGemini25Model(tt.upstreamModel) {
+				budget, _, _, _ := util.ThinkingFromMetadata(metadata)
+				if budget != nil {
+					body := []byte(`{"request":{"contents":[]}}`)
+					result := util.ApplyGeminiCLIThinkingConfig(body, budget, nil)
+					budgetVal := gjson.GetBytes(result, "request.generationConfig.thinkingConfig.thinkingBudget")
+
+					expectedBudget := tt.expectedValue.(int)
+					if !budgetVal.Exists() {
+						t.Errorf("Case #%d: expected thinkingBudget in result", tt.id)
+					} else if int(budgetVal.Int()) != expectedBudget {
+						t.Errorf("Case #%d: thinkingBudget = %d, want %d", tt.id, int(budgetVal.Int()), expectedBudget)
+					}
+				}
+			}
+		})
+	}
+}