Files
Enterprise-Knowledge-Base/internal/application/service/chat_pipline/chat_completion.go
T
wizardchen 3bf2a14499 feat: Enhance agent configuration and localization for web search prompts
- Updated agent configuration to support separate system prompts for web search enabled and disabled states.
- Removed deprecated agent configuration parameters to streamline settings management.
- Enhanced UI components in AgentSettings.vue to allow configuration of custom prompts based on web search status.
- Improved localization in English, Russian, and Chinese for new prompt settings and UI elements.
- Refactored related API and service logic to accommodate changes in agent configuration structure.
2025-11-19 19:27:25 +08:00

77 lines
2.5 KiB
Go

package chatpipline
import (
"context"
"github.com/Tencent/WeKnora/internal/types"
"github.com/Tencent/WeKnora/internal/types/interfaces"
)
// PluginChatCompletion implements chat completion functionality
// as a plugin that can be registered to EventManager
type PluginChatCompletion struct {
modelService interfaces.ModelService // Interface for model operations
}
// NewPluginChatCompletion creates a new PluginChatCompletion instance
// and registers it with the EventManager
func NewPluginChatCompletion(eventManager *EventManager, modelService interfaces.ModelService) *PluginChatCompletion {
res := &PluginChatCompletion{
modelService: modelService,
}
eventManager.Register(res)
return res
}
// ActivationEvents returns the event types this plugin handles
func (p *PluginChatCompletion) ActivationEvents() []types.EventType {
return []types.EventType{types.CHAT_COMPLETION}
}
// OnEvent handles chat completion events
// It prepares the chat model, messages, and calls the model to generate responses
func (p *PluginChatCompletion) OnEvent(
ctx context.Context, eventType types.EventType, chatManage *types.ChatManage, next func() *PluginError,
) *PluginError {
pipelineInfo(ctx, "Completion", "input", map[string]interface{}{
"session_id": chatManage.SessionID,
"user_question": chatManage.UserContent,
"history_rounds": len(chatManage.History),
"chat_model": chatManage.ChatModelID,
})
// Prepare chat model and options
chatModel, opt, err := prepareChatModel(ctx, p.modelService, chatManage)
if err != nil {
return ErrGetChatModel.WithError(err)
}
// Prepare messages including conversation history
pipelineInfo(ctx, "Completion", "messages_ready", map[string]interface{}{
"message_count": len(chatManage.History) + 2,
})
chatMessages := prepareMessagesWithHistory(chatManage)
// Call the chat model to generate response
pipelineInfo(ctx, "Completion", "model_call", map[string]interface{}{
"chat_model": chatManage.ChatModelID,
})
chatResponse, err := chatModel.Chat(ctx, chatMessages, opt)
if err != nil {
pipelineError(ctx, "Completion", "model_call", map[string]interface{}{
"chat_model": chatManage.ChatModelID,
"error": err.Error(),
})
return ErrModelCall.WithError(err)
}
pipelineInfo(ctx, "Completion", "output", map[string]interface{}{
"answer_preview": chatResponse.Content,
"finish_reason": chatResponse.FinishReason,
"completion_tokens": chatResponse.Usage.CompletionTokens,
"prompt_tokens": chatResponse.Usage.PromptTokens,
})
chatManage.ChatResponse = chatResponse
return next()
}