package go_llm

import (
	"github.com/openai/openai-go"
)

type rawAble interface {
	toRaw() map[string]any
	fromRaw(raw map[string]any) Input
}

type Input interface {
	toChatCompletionMessages(model string) []openai.ChatCompletionMessageParamUnion
}
type Request struct {
	Conversation []Input
	Messages     []Message
	Toolbox      ToolBox
	Temperature  *float64
}

// NextRequest will take the current request's conversation, messages, the response, and any tool results, and
// return a new request with the conversation updated to include the response and tool results.
func (req Request) NextRequest(resp ResponseChoice, toolResults []ToolCallResponse) Request {
	var res Request

	res.Toolbox = req.Toolbox
	res.Temperature = req.Temperature

	res.Conversation = make([]Input, len(req.Conversation))
	copy(res.Conversation, req.Conversation)

	// now for every input message, convert those to an Input to add to the conversation
	for _, msg := range req.Messages {
		res.Conversation = append(res.Conversation, msg)
	}

	if resp.Content != "" || resp.Refusal != "" || len(resp.Calls) > 0 {
		res.Conversation = append(res.Conversation, resp)
	}

	// if there are tool results, then we need to add those to the conversation
	for _, result := range toolResults {
		res.Conversation = append(res.Conversation, result)
	}

	return res
}