Refactor connector settings to model capabilities

- Renamed and refactored functions and variables to transition from connector settings to model capabilities, enhancing clarity and consistency.
- Updated the loading mechanism to read model capabilities from `models.yml` instead of `connectors.yml`.
- Adjusted the assistant's global settings to utilize model capabilities, ensuring proper integration with the new configuration structure.
- Enhanced the reasoning adapter to support temperature adjustment based on model capabilities, improving flexibility in handling reasoning parameters.

agent/assistant/agent.go

@@ -154,46 +154,46 @@ func (ast *Assistant) getConnectorCapabilities(connectorID string) *context.Mode
 		Streaming: &falseVal,
 	}
 
-	// Get connector setting from global settings
-	setting, exists := connectorSettings[connectorID]
+	// Get model capabilities from global configuration
+	modelCaps, exists := modelCapabilities[connectorID]
 	if !exists {
-		// Return default capabilities if connector not found in settings
+		// Return default capabilities if model not found in configuration
 		return capabilities
 	}
 
-	// Update capabilities based on connector settings
-	if setting.Vision {
+	// Update capabilities based on model configuration
+	if modelCaps.Vision {
 		v := true
 		capabilities.Vision = &v
 	}
 
 	// Handle both Tools (deprecated) and ToolCalls
-	if setting.ToolCalls || setting.Tools {
+	if modelCaps.ToolCalls || modelCaps.Tools {
 		v := true
 		capabilities.ToolCalls = &v
 	}
 
-	if setting.Audio {
+	if modelCaps.Audio {
 		v := true
 		capabilities.Audio = &v
 	}
 
-	if setting.Reasoning {
+	if modelCaps.Reasoning {
 		v := true
 		capabilities.Reasoning = &v
 	}
 
-	if setting.Streaming {
+	if modelCaps.Streaming {
 		v := true
 		capabilities.Streaming = &v
 	}
 
-	if setting.JSON {
+	if modelCaps.JSON {
 		v := true
 		capabilities.JSON = &v
 	}
 
-	if setting.Multimodal {
+	if modelCaps.Multimodal {
 		v := true
 		capabilities.Multimodal = &v
 	}

agent/assistant/api.go

@@ -770,7 +770,7 @@ func (ast *Assistant) withOptions(options map[string]interface{}) map[string]int
 
 	// Add tool_calls
 	if ast.Tools != nil && ast.Tools.Tools != nil && len(ast.Tools.Tools) > 0 {
-		if settings, has := connectorSettings[ast.Connector]; has && settings.Tools {
+		if capabilities, has := modelCapabilities[ast.Connector]; has && capabilities.Tools {
 			options["tools"] = ast.Tools.Tools
 			if options["tool_choice"] == nil {
 				options["tool_choice"] = "auto"
@@ -794,8 +794,8 @@ func (ast *Assistant) withPrompts(messages []chatMessage.Message) []chatMessage.
 
 	// Add tool_calls
 	if ast.Tools != nil && ast.Tools.Tools != nil && len(ast.Tools.Tools) > 0 {
-		settings, has := connectorSettings[ast.Connector]
-		if !has || !settings.Tools {
+		capabilities, has := modelCapabilities[ast.Connector]
+		if !has || !capabilities.Tools {
 			// Convert store tools to runtime tools if not already done
 			if ast.runtimeTools == nil {
 				runtimeTools, err := ToRuntimeTools(ast.Tools.Tools)

agent/assistant/load.go

@@ -27,7 +27,7 @@ import (
 var loaded = NewCache(200) // 200 is the default capacity
 var storage store.Store = nil
 var search interface{} = nil
-var connectorSettings map[string]ConnectorSetting = map[string]ConnectorSetting{}
+var modelCapabilities map[string]ModelCapabilities = map[string]ModelCapabilities{}
 var vision *agentvision.Vision = nil
 var defaultConnector string = ""   // default connector
 var globalUses *context.Uses = nil // global uses configuration from agent.yml
@@ -137,9 +137,9 @@ func SetVision(v *agentvision.Vision) {
 	vision = v
 }
 
-// SetConnectorSettings set the connector settings
-func SetConnectorSettings(settings map[string]ConnectorSetting) {
-	connectorSettings = settings
+// SetModelCapabilities set the model capabilities configuration
+func SetModelCapabilities(capabilities map[string]ModelCapabilities) {
+	modelCapabilities = capabilities
 }
 
 // SetConnector set the connector

agent/assistant/types.go

@@ -108,9 +108,9 @@ type Assistant struct {
 	runtimeTools []Tool // Converted tools for business logic (OpenAI format)
 }
 
-// ConnectorSetting the connector setting
-// Defines the capabilities of a connector/model
-type ConnectorSetting struct {
+// ModelCapabilities defines the capabilities of a language model
+// This configuration is loaded from agent/models.yml
+type ModelCapabilities struct {
 	Vision     bool `json:"vision,omitempty" yaml:"vision,omitempty"`         // Supports vision/image input
 	Tools      bool `json:"tools,omitempty" yaml:"tools,omitempty"`           // Supports tool/function calling (deprecated, use ToolCalls)
 	ToolCalls  bool `json:"tool_calls,omitempty" yaml:"tool_calls,omitempty"` // Supports tool/function calling

agent/context/openapi.go

@@ -122,13 +122,12 @@ func GetAssistantID(c *gin.Context, req *CompletionRequest) (string, error) {
 	}
 
 	if model != "" {
-		// Split by "-" and get the last field
-		parts := strings.Split(model, "-")
-		lastField := strings.TrimSpace(parts[len(parts)-1])
-
-		// Check if it has yao_ prefix
-		if strings.HasPrefix(lastField, "yao_") {
-			assistantID := strings.TrimPrefix(lastField, "yao_")
+		// Parse model ID using the same logic as ParseModelID
+		// Expected format: [prefix-]assistantName-model-yao_assistantID
+		// Find the last occurrence of "-yao_"
+		parts := strings.Split(model, "-yao_")
+		if len(parts) >= 2 {
+			assistantID := parts[len(parts)-1]
 			if assistantID != "" {
 				return assistantID, nil
 			}

agent/context/types_llm.go

@@ -12,13 +12,14 @@ type Uses struct {
 // ModelCapabilities defines the capabilities of a language model
 // Used by LLM to select appropriate provider and validate requests
 type ModelCapabilities struct {
-	Vision     *bool `json:"vision,omitempty"`     // Supports vision/image input
-	ToolCalls  *bool `json:"tool_calls,omitempty"` // Supports tool/function calling
-	Audio      *bool `json:"audio,omitempty"`      // Supports audio input/output
-	Reasoning  *bool `json:"reasoning,omitempty"`  // Supports reasoning/thinking mode (o1, DeepSeek R1)
-	Streaming  *bool `json:"streaming,omitempty"`  // Supports streaming responses
-	JSON       *bool `json:"json,omitempty"`       // Supports JSON mode
-	Multimodal *bool `json:"multimodal,omitempty"` // Supports multimodal input (text + images + audio)
+	Vision                *bool `json:"vision,omitempty"`                 // Supports vision/image input
+	ToolCalls             *bool `json:"tool_calls,omitempty"`             // Supports tool/function calling
+	Audio                 *bool `json:"audio,omitempty"`                  // Supports audio input/output
+	Reasoning             *bool `json:"reasoning,omitempty"`              // Supports reasoning/thinking mode (o1, DeepSeek R1)
+	Streaming             *bool `json:"streaming,omitempty"`              // Supports streaming responses
+	JSON                  *bool `json:"json,omitempty"`                   // Supports JSON mode
+	Multimodal            *bool `json:"multimodal,omitempty"`             // Supports multimodal input (text + images + audio)
+	TemperatureAdjustable *bool `json:"temperature_adjustable,omitempty"` // Supports temperature adjustment (reasoning models typically don't)
 }
 
 // CompletionOptions the completion request options

agent/llm/adapters/reasoning.go

@@ -16,45 +16,83 @@ const (
 
 // ReasoningAdapter handles reasoning content capability
 // - Manages reasoning_effort parameter (o1, GPT-5)
+// - Manages temperature parameter constraints (reasoning models typically require temperature=1)
 // - Extracts reasoning_tokens from usage
 // - Parses visible reasoning content (DeepSeek R1)
 type ReasoningAdapter struct {
 	*BaseAdapter
-	format         ReasoningFormat
-	supportsEffort bool // Whether the model supports reasoning_effort parameter
+	format              ReasoningFormat
+	supportsEffort      bool // Whether the model supports reasoning_effort parameter
+	supportsTemperature bool // Whether the model supports temperature adjustment
 }
 
 // NewReasoningAdapter creates a new reasoning adapter
-func NewReasoningAdapter(format ReasoningFormat) *ReasoningAdapter {
+// If cap.TemperatureAdjustable is provided, it overrides the default behavior
+func NewReasoningAdapter(format ReasoningFormat, cap *context.ModelCapabilities) *ReasoningAdapter {
 	supportsEffort := false
+	supportsTemperature := true
 
-	// Only OpenAI o1 and GPT-5 support reasoning_effort parameter
-	if format == ReasoningFormatOpenAI || format == ReasoningFormatGPT5 {
+	// Set defaults based on reasoning format
+	switch format {
+	case ReasoningFormatOpenAI, ReasoningFormatGPT5:
+		// OpenAI o1 and GPT-5: support reasoning_effort, but NOT temperature adjustment
 		supportsEffort = true
+		supportsTemperature = false
+	case ReasoningFormatDeepSeek:
+		// DeepSeek R1: no reasoning_effort, no temperature adjustment
+		supportsEffort = false
+		supportsTemperature = false
+	case ReasoningFormatNone:
+		// Non-reasoning models: no reasoning_effort, but support temperature
+		supportsEffort = false
+		supportsTemperature = true
+	}
+
+	// Override with explicit capability if provided
+	if cap != nil && cap.TemperatureAdjustable != nil {
+		supportsTemperature = *cap.TemperatureAdjustable
 	}
 
 	return &ReasoningAdapter{
-		BaseAdapter:    NewBaseAdapter("ReasoningAdapter"),
-		format:         format,
-		supportsEffort: supportsEffort,
+		BaseAdapter:         NewBaseAdapter("ReasoningAdapter"),
+		format:              format,
+		supportsEffort:      supportsEffort,
+		supportsTemperature: supportsTemperature,
 	}
 }
 
-// PreprocessOptions handles reasoning_effort parameter
+// PreprocessOptions handles reasoning_effort and temperature parameters
 func (a *ReasoningAdapter) PreprocessOptions(options *context.CompletionOptions) (*context.CompletionOptions, error) {
 	if options == nil {
 		return options, nil
 	}
 
-	// If model doesn't support reasoning_effort, remove it
-	if !a.supportsEffort && options.ReasoningEffort != nil {
+	newOptions := *options
+	modified := false
+
+	// 1. Handle reasoning_effort parameter
+	if !a.supportsEffort && newOptions.ReasoningEffort != nil {
 		// Model doesn't support reasoning_effort, remove the parameter
-		newOptions := *options
 		newOptions.ReasoningEffort = nil
+		modified = true
+	}
+
+	// 2. Handle temperature parameter
+	if !a.supportsTemperature && newOptions.Temperature != nil {
+		currentTemp := *newOptions.Temperature
+		if currentTemp != 1.0 {
+			// Model doesn't support temperature adjustment, reset to default (1.0)
+			defaultTemp := 1.0
+			newOptions.Temperature = &defaultTemp
+			modified = true
+		}
+	}
+
+	if modified {
 		return &newOptions, nil
 	}
 
-	// If model supports reasoning_effort, keep it as-is (user can set "low", "medium", or "high")
+	// No modifications needed
 	return options, nil
 }
 

agent/llm/providers/openai/openai.go

@@ -141,16 +141,16 @@ func buildAdapters(cap *context.ModelCapabilities) []adapters.CapabilityAdapter
 		result = append(result, adapters.NewAudioAdapter(*cap.Audio))
 	}
 
-	// Reasoning adapter (always add to handle reasoning_effort parameter)
+	// Reasoning adapter (always add to handle reasoning_effort and temperature parameters)
 	// Even if the model doesn't support reasoning, we need the adapter to strip reasoning_effort
 	if cap.Reasoning != nil {
 		if *cap.Reasoning {
 			// Detect reasoning format based on capabilities
 			format := detectReasoningFormat(cap)
-			result = append(result, adapters.NewReasoningAdapter(format))
+			result = append(result, adapters.NewReasoningAdapter(format, cap))
 		} else {
 			// Model doesn't support reasoning, use None format to strip reasoning parameters
-			result = append(result, adapters.NewReasoningAdapter(adapters.ReasoningFormatNone))
+			result = append(result, adapters.NewReasoningAdapter(adapters.ReasoningFormatNone, cap))
 		}
 	}
 

agent/llm/providers/openai/temperature_test.go

@@ -0,0 +1,379 @@
+package openai_test
+
+import (
+	gocontext "context"
+	"testing"
+
+	"github.com/yaoapp/gou/connector"
+	"github.com/yaoapp/gou/plan"
+	"github.com/yaoapp/yao/agent/context"
+	"github.com/yaoapp/yao/agent/llm"
+	"github.com/yaoapp/yao/config"
+	"github.com/yaoapp/yao/openapi/oauth/types"
+	"github.com/yaoapp/yao/test"
+)
+
+// TestTemperatureGPT5AutoReset tests that GPT-5 automatically resets temperature to 1.0
+func TestTemperatureGPT5AutoReset(t *testing.T) {
+	test.Prepare(t, config.Conf)
+	defer test.Clean()
+
+	conn, err := connector.Select("openai.gpt-5")
+	if err != nil {
+		t.Fatalf("Failed to select connector: %v", err)
+	}
+
+	trueVal := true
+	invalidTemp := 0.7 // GPT-5 doesn't support this
+	options := &context.CompletionOptions{
+		Capabilities: &context.ModelCapabilities{
+			Reasoning: &trueVal,
+		},
+		Temperature: &invalidTemp, // Should be reset to 1.0
+	}
+
+	llmInstance, err := llm.New(conn, options)
+	if err != nil {
+		t.Fatalf("Failed to create LLM instance: %v", err)
+	}
+
+	messages := []context.Message{
+		{
+			Role:    context.RoleUser,
+			Content: "Say 'OK'",
+		},
+	}
+
+	maxTokens := 10
+	options.MaxCompletionTokens = &maxTokens
+
+	ctx := newTemperatureTestContext("test-gpt5-temp", "openai.gpt-5")
+
+	// Should succeed (temperature automatically reset to 1.0)
+	response, err := llmInstance.Post(ctx, messages, options)
+	if err != nil {
+		t.Fatalf("Post failed: %v", err)
+	}
+
+	if response == nil {
+		t.Fatal("Response is nil")
+	}
+
+	t.Log("✓ GPT-5 successfully handled invalid temperature by resetting to 1.0")
+	t.Logf("Response: %v", response.Content)
+}
+
+// TestTemperatureDeepSeekR1AutoReset tests that DeepSeek R1 automatically resets temperature to 1.0
+func TestTemperatureDeepSeekR1AutoReset(t *testing.T) {
+	test.Prepare(t, config.Conf)
+	defer test.Clean()
+
+	conn, err := connector.Select("deepseek.r1")
+	if err != nil {
+		t.Fatalf("Failed to select connector: %v", err)
+	}
+
+	trueVal := true
+	invalidTemp := 0.5 // DeepSeek R1 doesn't support this
+	options := &context.CompletionOptions{
+		Capabilities: &context.ModelCapabilities{
+			Reasoning: &trueVal,
+		},
+		Temperature: &invalidTemp, // Should be reset to 1.0
+	}
+
+	llmInstance, err := llm.New(conn, options)
+	if err != nil {
+		t.Fatalf("Failed to create LLM instance: %v", err)
+	}
+
+	messages := []context.Message{
+		{
+			Role:    context.RoleUser,
+			Content: "Say 'Hello'",
+		},
+	}
+
+	maxTokens := 100
+	options.MaxCompletionTokens = &maxTokens
+
+	ctx := newTemperatureTestContext("test-deepseek-r1-temp", "deepseek.r1")
+
+	// Should succeed (temperature automatically reset to 1.0)
+	response, err := llmInstance.Post(ctx, messages, options)
+	if err != nil {
+		t.Fatalf("Post failed: %v", err)
+	}
+
+	if response == nil {
+		t.Fatal("Response is nil")
+	}
+
+	t.Log("✓ DeepSeek R1 successfully handled invalid temperature by resetting to 1.0")
+	t.Logf("Response content: %v", response.Content)
+	if response.ReasoningContent != "" {
+		t.Logf("Reasoning content length: %d", len(response.ReasoningContent))
+	}
+}
+
+// TestTemperatureGPT4oPreserved tests that GPT-4o preserves custom temperature
+func TestTemperatureGPT4oPreserved(t *testing.T) {
+	test.Prepare(t, config.Conf)
+	defer test.Clean()
+
+	conn, err := connector.Select("openai.gpt-4o")
+	if err != nil {
+		t.Fatalf("Failed to select connector: %v", err)
+	}
+
+	trueVal := true
+	falseVal := false
+	customTemp := 0.3 // GPT-4o should preserve this
+	options := &context.CompletionOptions{
+		Capabilities: &context.ModelCapabilities{
+			Reasoning: &falseVal, // Not a reasoning model
+			ToolCalls: &trueVal,
+		},
+		Temperature: &customTemp, // Should be preserved
+	}
+
+	llmInstance, err := llm.New(conn, options)
+	if err != nil {
+		t.Fatalf("Failed to create LLM instance: %v", err)
+	}
+
+	messages := []context.Message{
+		{
+			Role:    context.RoleUser,
+			Content: "Say 'OK'",
+		},
+	}
+
+	maxTokens := 10
+	options.MaxCompletionTokens = &maxTokens
+
+	ctx := newTemperatureTestContext("test-gpt4o-temp", "openai.gpt-4o")
+
+	// Should succeed with custom temperature preserved
+	response, err := llmInstance.Post(ctx, messages, options)
+	if err != nil {
+		t.Fatalf("Post failed: %v", err)
+	}
+
+	if response == nil {
+		t.Fatal("Response is nil")
+	}
+
+	t.Log("✓ GPT-4o successfully preserved custom temperature (0.3)")
+	t.Logf("Response: %v", response.Content)
+}
+
+// TestTemperatureDeepSeekV3Preserved tests that DeepSeek V3 preserves custom temperature
+func TestTemperatureDeepSeekV3Preserved(t *testing.T) {
+	test.Prepare(t, config.Conf)
+	defer test.Clean()
+
+	conn, err := connector.Select("deepseek.v3")
+	if err != nil {
+		t.Fatalf("Failed to select connector: %v", err)
+	}
+
+	trueVal := true
+	falseVal := false
+	customTemp := 0.8 // DeepSeek V3 should preserve this
+	options := &context.CompletionOptions{
+		Capabilities: &context.ModelCapabilities{
+			Reasoning: &falseVal, // Not a reasoning model
+			ToolCalls: &trueVal,
+		},
+		Temperature: &customTemp, // Should be preserved
+	}
+
+	llmInstance, err := llm.New(conn, options)
+	if err != nil {
+		t.Fatalf("Failed to create LLM instance: %v", err)
+	}
+
+	messages := []context.Message{
+		{
+			Role:    context.RoleUser,
+			Content: "Say 'Hello World'",
+		},
+	}
+
+	maxTokens := 20
+	options.MaxCompletionTokens = &maxTokens
+
+	ctx := newTemperatureTestContext("test-deepseek-v3-temp", "deepseek.v3")
+
+	// Should succeed with custom temperature preserved
+	response, err := llmInstance.Post(ctx, messages, options)
+	if err != nil {
+		t.Fatalf("Post failed: %v", err)
+	}
+
+	if response == nil {
+		t.Fatal("Response is nil")
+	}
+
+	t.Log("✓ DeepSeek V3 successfully preserved custom temperature (0.8)")
+	t.Logf("Response: %v", response.Content)
+}
+
+// TestTemperatureGPT5Default tests that GPT-5 with temperature=1.0 works fine
+func TestTemperatureGPT5Default(t *testing.T) {
+	test.Prepare(t, config.Conf)
+	defer test.Clean()
+
+	conn, err := connector.Select("openai.gpt-5")
+	if err != nil {
+		t.Fatalf("Failed to select connector: %v", err)
+	}
+
+	trueVal := true
+	defaultTemp := 1.0 // GPT-5's valid temperature
+	options := &context.CompletionOptions{
+		Capabilities: &context.ModelCapabilities{
+			Reasoning: &trueVal,
+		},
+		Temperature: &defaultTemp, // Should work fine
+	}
+
+	llmInstance, err := llm.New(conn, options)
+	if err != nil {
+		t.Fatalf("Failed to create LLM instance: %v", err)
+	}
+
+	messages := []context.Message{
+		{
+			Role:    context.RoleUser,
+			Content: "What is 2+2? Reply with just the number.",
+		},
+	}
+
+	maxTokens := 10
+	options.MaxCompletionTokens = &maxTokens
+
+	ctx := newTemperatureTestContext("test-gpt5-temp-default", "openai.gpt-5")
+
+	// Should succeed with default temperature
+	response, err := llmInstance.Post(ctx, messages, options)
+	if err != nil {
+		t.Fatalf("Post failed: %v", err)
+	}
+
+	if response == nil {
+		t.Fatal("Response is nil")
+	}
+
+	t.Log("✓ GPT-5 successfully handled default temperature (1.0)")
+	t.Logf("Response: %v", response.Content)
+}
+
+// TestTemperatureNoTemperatureProvided tests that models work when no temperature is provided
+func TestTemperatureNoTemperatureProvided(t *testing.T) {
+	test.Prepare(t, config.Conf)
+	defer test.Clean()
+
+	testCases := []struct {
+		name      string
+		connector string
+		reasoning bool
+	}{
+		{"GPT-5 No Temp", "openai.gpt-5", true},
+		{"GPT-4o No Temp", "openai.gpt-4o", false},
+		{"DeepSeek R1 No Temp", "deepseek.r1", true},
+		{"DeepSeek V3 No Temp", "deepseek.v3", false},
+	}
+
+	for _, tc := range testCases {
+		t.Run(tc.name, func(t *testing.T) {
+			conn, err := connector.Select(tc.connector)
+			if err != nil {
+				t.Fatalf("Failed to select connector: %v", err)
+			}
+
+			trueVal := true
+			falseVal := false
+			options := &context.CompletionOptions{
+				Capabilities: &context.ModelCapabilities{
+					Reasoning: &falseVal,
+					ToolCalls: &trueVal,
+				},
+			}
+			if tc.reasoning {
+				options.Capabilities.Reasoning = &trueVal
+			}
+			// Temperature not set - should use API default
+
+			llmInstance, err := llm.New(conn, options)
+			if err != nil {
+				t.Fatalf("Failed to create LLM instance: %v", err)
+			}
+
+			messages := []context.Message{
+				{
+					Role:    context.RoleUser,
+					Content: "Say 'OK'",
+				},
+			}
+
+			maxTokens := 10
+			options.MaxCompletionTokens = &maxTokens
+
+			ctx := newTemperatureTestContext("test-no-temp-"+tc.connector, tc.connector)
+
+			response, err := llmInstance.Post(ctx, messages, options)
+			if err != nil {
+				t.Fatalf("Post failed: %v", err)
+			}
+
+			if response == nil {
+				t.Fatal("Response is nil")
+			}
+
+			t.Logf("✓ %s works fine without temperature parameter", tc.connector)
+		})
+	}
+}
+
+// ============================================================================
+// Helper Functions
+// ============================================================================
+
+// newTemperatureTestContext creates a real Context for testing temperature handling
+func newTemperatureTestContext(chatID, connectorID string) *context.Context {
+	return &context.Context{
+		Context:     gocontext.Background(),
+		Space:       plan.NewMemorySharedSpace(),
+		ChatID:      chatID,
+		AssistantID: "test-assistant",
+		Connector:   connectorID,
+		Locale:      "en-us",
+		Theme:       "light",
+		Client: context.Client{
+			Type:      "web",
+			UserAgent: "TemperatureTest/1.0",
+			IP:        "127.0.0.1",
+		},
+		Referer:  context.RefererAPI,
+		Accept:   context.AcceptStandard,
+		Route:    "/api/test",
+		Metadata: make(map[string]interface{}),
+		Authorized: &types.AuthorizedInfo{
+			Subject:   "test-user",
+			ClientID:  "test-client",
+			UserID:    "test-user-123",
+			TeamID:    "test-team-456",
+			TenantID:  "test-tenant-789",
+			SessionID: "test-session-id",
+			Constraints: types.DataConstraints{
+				TeamOnly: true,
+				Extra: map[string]interface{}{
+					"test": "temperature",
+				},
+			},
+		},
+	}
+}
+

agent/load.go

@@ -68,8 +68,8 @@ func Load(cfg config.Config) error {
 		return err
 	}
 
-	// Initialize Connector settings
-	err = initConnectorSettings()
+	// Initialize model capabilities
+	err = initModelCapabilities()
 	if err != nil {
 		return err
 	}
@@ -107,26 +107,26 @@ func initGlobalI18n() error {
 	return nil
 }
 
-// initConnectors initialize the connectors
-func initConnectorSettings() error {
-	path := filepath.Join("agent", "connectors.yml")
+// initModelCapabilities initialize the model capabilities configuration
+func initModelCapabilities() error {
+	path := filepath.Join("agent", "models.yml")
 	if exists, _ := application.App.Exists(path); !exists {
 		return nil
 	}
 
-	// Open the connectors
+	// Read the model capabilities configuration
 	bytes, err := application.App.Read(path)
 	if err != nil {
 		return err
 	}
 
-	var connectors map[string]assistant.ConnectorSetting = map[string]assistant.ConnectorSetting{}
-	err = application.Parse("connectors.yml", bytes, &connectors)
+	var models map[string]assistant.ModelCapabilities = map[string]assistant.ModelCapabilities{}
+	err = application.Parse("models.yml", bytes, &models)
 	if err != nil {
 		return err
 	}
 
-	api.Agent.DSL.Connectors = connectors
+	api.Agent.DSL.Models = models
 	return nil
 }
 
@@ -183,8 +183,8 @@ func initAssistant() error {
 		assistant.SetGlobalUses(globalUses)
 	}
 
-	if api.Agent.DSL.Connectors != nil {
-		assistant.SetConnectorSettings(api.Agent.DSL.Connectors)
+	if api.Agent.DSL.Models != nil {
+		assistant.SetModelCapabilities(api.Agent.DSL.Models)
 	}
 
 	// Load Built-in Assistants

agent/types/types.go

@@ -20,9 +20,9 @@ type DSL struct {
 	// UploadSetting    *Upload       `json:"upload,omitempty" yaml:"upload,omitempty"`       // Upload Settings
 	// KnowledgeSetting *Knowledge    `json:"knowledge,omitempty" yaml:"knowledge,omitempty"` // Knowledge base Settings
 
-	// Global External Settings - connectors, tools, etc.
+	// Global External Settings - model capabilities, tools, etc.
 	// ===============================
-	Connectors map[string]assistant.ConnectorSetting `json:"connectors,omitempty" yaml:"connectors,omitempty"` // The connectors of the assistant
+	Models map[string]assistant.ModelCapabilities `json:"models,omitempty" yaml:"models,omitempty"` // The model capabilities configuration
 
 	// Agent API Settings
 	// ===============================s