Function generateSummaryWithLLM

examples/phase4_integration.go:69–99

generateSummaryWithLLM 使用 LLM 生成对话总结

(_ context.Context, messages []types.Message)

// generateSummaryWithLLM 使用 LLM 生成对话总结
func generateSummaryWithLLM(_ context.Context, messages []types.Message) (string, error) {
	// 这是一个示例实现
	// 实际应用中应该:
	// 1. 使用 Provider 接口调用 LLM
	// 2. 使用专门的总结提示词
	// 3. 设置较低的 temperature (如 0.3)

	// 构建总结请求
	_ = `Please provide a concise summary of the following conversation, capturing:
1. Main topics discussed
2. Important decisions or conclusions
3. Action items or next steps
4. Relevant technical details or constraints

Keep the summary focused and informative, around 200-300 words.`

	// TODO: 实际应该组装消息并调用LLM
	// Example:
	// summaryMessages := []types.Message{
	//     {Role: types.MessageRoleSystem, Content: summaryPrompt},
	// }
	// summaryMessages = append(summaryMessages, messages...)
	// resp, err := provider.Stream(ctx, summaryMessages, &provider.StreamOptions{
	//     Temperature: 0.3,
	//     MaxTokens:   500,
	// })
	_ = messages

	// 示例返回
	return "Summary of conversation: [Topics discussed, decisions made, next steps...]", nil
}

// createStoreBackend 创建 Store Backend (持久化存储)
func createStoreBackend() backends.BackendProtocol {