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package test
import (
"testing"
"github.com/router-for-me/CLIProxyAPI/v6/internal/runtime/executor"
"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 (simulates SDK layer normalization)
// For "gp(1000)" -> requestedModel="gp", metadata={thinking_budget: 1000}
requestedModel, 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: Simulate OAuth model mapping
// Real flow: applyOAuthModelMapping stores requestedModel (the alias) in metadata
if tt.isAlias {
if metadata == nil {
metadata = make(map[string]any)
}
metadata[util.ModelMappingOriginalModelMetadataKey] = requestedModel
}
// 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 simulating real OAuth flow:
// - requestedModel (alias like "gf") is stored in model_mapping_original_model
// - upstreamModel is passed as the model parameter
testMetadata := make(map[string]any)
if tt.isAlias {
// Real flow: applyOAuthModelMapping stores requestedModel (the alias)
testMetadata[util.ModelMappingOriginalModelMetadataKey] = requestedModel
}
// Copy parsed metadata (thinking_budget, reasoning_effort, etc.)
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 using real ApplyThinkingMetadataCLI flow
if tt.expectedField == "thinkingBudget" && util.IsGemini25Model(tt.upstreamModel) {
body := []byte(`{"request":{"contents":[]}}`)
// Build metadata simulating real OAuth flow:
// - requestedModel (alias like "gp") is stored in model_mapping_original_model
// - upstreamModel is passed as the model parameter
testMetadata := make(map[string]any)
if tt.isAlias {
// Real flow: applyOAuthModelMapping stores requestedModel (the alias)
testMetadata[util.ModelMappingOriginalModelMetadataKey] = requestedModel
}
// Copy parsed metadata (thinking_budget, reasoning_effort, etc.)
for k, v := range metadata {
testMetadata[k] = v
}
// Use the exported ApplyThinkingMetadataCLI which includes the fallback logic
result := executor.ApplyThinkingMetadataCLI(body, testMetadata, tt.upstreamModel)
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)
}
}
})
}
}
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