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