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.
111 lines
3.1 KiB
Go
111 lines
3.1 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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// Anthropic implements Provider using the Anthropic Messages API.
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type Anthropic 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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// NewAnthropic creates a new Anthropic provider.
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func NewAnthropic(apiKey, model string, client *http.Client) *Anthropic {
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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 = "claude-sonnet-4-5-20250929"
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}
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return &Anthropic{apiKey: apiKey, model: model, client: client, baseURL: "https://api.anthropic.com"}
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}
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func (a *Anthropic) Name() string { return "anthropic" }
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type anthropicRequest struct {
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Model string `json:"model"`
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MaxTokens int `json:"max_tokens"`
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System string `json:"system"`
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Messages []anthropicMessage `json:"messages"`
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}
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type anthropicMessage 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 anthropicResponse struct {
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Content []struct {
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Type string `json:"type"`
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Text string `json:"text"`
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} `json:"content"`
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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 (a *Anthropic) call(ctx context.Context, systemPrompt, userMessage string, maxTokens int) (string, error) {
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reqBody := anthropicRequest{
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Model: a.model,
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MaxTokens: maxTokens,
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System: systemPrompt,
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Messages: []anthropicMessage{
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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, a.baseURL+"/v1/messages", 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("x-api-key", a.apiKey)
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req.Header.Set("anthropic-version", "2023-06-01")
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resp, err := a.client.Do(req)
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if err != nil {
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return "", fmt.Errorf("anthropic call: %w", err)
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}
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defer resp.Body.Close()
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var result anthropicResponse
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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("anthropic error: %s", result.Error.Message)
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}
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if len(result.Content) == 0 {
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return "", fmt.Errorf("empty response from anthropic")
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}
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return result.Content[0].Text, nil
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}
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func (a *Anthropic) Summarize(ctx context.Context, input SummaryInput) (string, error) {
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return a.call(ctx, SummarizeSystemPrompt(), BuildSummaryPrompt(input), 300)
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}
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func (a *Anthropic) RewriteAction(ctx context.Context, input ActionInput) (string, error) {
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return a.call(ctx, RewriteActionSystemPrompt(), BuildRewriteActionPrompt(input), 100)
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}
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func (a *Anthropic) GenerateHeatPlan(ctx context.Context, input HeatPlanInput) (string, error) {
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return a.call(ctx, HeatPlanSystemPrompt(), BuildHeatPlanPrompt(input), 2000)
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}
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func (a *Anthropic) GenerateActions(ctx context.Context, input ActionsInput) (string, error) {
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return a.call(ctx, GenerateActionsSystemPrompt(), BuildActionsPrompt(input), 1500)
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}
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