vikingowl
5e6696aa42
Add LLM actions endpoint that generates hour-specific heat management recommendations. Replace static action engine with AI-driven approach. Add cool mode logic (ventilate/ac/overloaded), indoor temperature tracking, and timeline legend with annotations.
108 lines
2.8 KiB
Go
108 lines
2.8 KiB
Go
package llm
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import (
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"context"
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"encoding/json"
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"fmt"
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"net/http"
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"strings"
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"time"
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)
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// OpenAI implements Provider using the OpenAI Chat Completions API.
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type OpenAI struct {
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apiKey string
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model string
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client *http.Client
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baseURL string
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}
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// NewOpenAI creates a new OpenAI provider.
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func NewOpenAI(apiKey, model string, client *http.Client) *OpenAI {
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if client == nil {
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client = &http.Client{Timeout: 60 * time.Second}
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}
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if model == "" {
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model = "gpt-4o"
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}
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return &OpenAI{apiKey: apiKey, model: model, client: client, baseURL: "https://api.openai.com"}
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}
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func (o *OpenAI) Name() string { return "openai" }
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type openAIRequest struct {
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Model string `json:"model"`
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Messages []openAIMessage `json:"messages"`
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}
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type openAIMessage struct {
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Role string `json:"role"`
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Content string `json:"content"`
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}
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type openAIResponse struct {
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Choices []struct {
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Message struct {
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Content string `json:"content"`
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} `json:"message"`
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} `json:"choices"`
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Error *struct {
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Message string `json:"message"`
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} `json:"error"`
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}
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func (o *OpenAI) call(ctx context.Context, systemPrompt, userMessage string) (string, error) {
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reqBody := openAIRequest{
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Model: o.model,
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Messages: []openAIMessage{
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{Role: "system", Content: systemPrompt},
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{Role: "user", Content: userMessage},
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},
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}
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body, err := json.Marshal(reqBody)
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if err != nil {
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return "", fmt.Errorf("marshal request: %w", err)
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}
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req, err := http.NewRequestWithContext(ctx, http.MethodPost, o.baseURL+"/v1/chat/completions", strings.NewReader(string(body)))
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if err != nil {
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return "", fmt.Errorf("build request: %w", err)
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}
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req.Header.Set("Content-Type", "application/json")
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req.Header.Set("Authorization", "Bearer "+o.apiKey)
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resp, err := o.client.Do(req)
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if err != nil {
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return "", fmt.Errorf("openai call: %w", err)
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}
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defer resp.Body.Close()
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var result openAIResponse
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if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
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return "", fmt.Errorf("decode response: %w", err)
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}
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if result.Error != nil {
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return "", fmt.Errorf("openai error: %s", result.Error.Message)
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}
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if len(result.Choices) == 0 {
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return "", fmt.Errorf("empty response from openai")
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}
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return result.Choices[0].Message.Content, nil
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}
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func (o *OpenAI) Summarize(ctx context.Context, input SummaryInput) (string, error) {
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return o.call(ctx, SummarizeSystemPrompt(), BuildSummaryPrompt(input))
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}
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func (o *OpenAI) RewriteAction(ctx context.Context, input ActionInput) (string, error) {
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return o.call(ctx, RewriteActionSystemPrompt(), BuildRewriteActionPrompt(input))
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}
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func (o *OpenAI) GenerateHeatPlan(ctx context.Context, input HeatPlanInput) (string, error) {
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return o.call(ctx, HeatPlanSystemPrompt(), BuildHeatPlanPrompt(input))
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}
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func (o *OpenAI) GenerateActions(ctx context.Context, input ActionsInput) (string, error) {
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return o.call(ctx, GenerateActionsSystemPrompt(), BuildActionsPrompt(input))
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}
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