package client import ( "bytes" "encoding/json" "fmt" "net/http" "strings" "github.com/fjurmanovic/sugarr/internal/model" "github.com/fjurmanovic/sugarr/internal/utl/configs" ) type LLMClient struct { baseURL string apiKey string model string http *http.Client } func NewLLMClient(cfg *configs.Config) *LLMClient { return &LLMClient{ baseURL: cfg.LLMBaseURL, apiKey: cfg.LLMAPIKey, model: cfg.LLMModel, http: &http.Client{}, } } type chatRequest struct { Model string `json:"model"` Messages []chatMessage `json:"messages"` } type chatMessage struct { Role string `json:"role"` Content string `json:"content"` } type chatResponse struct { Choices []struct { Message chatMessage `json:"message"` } `json:"choices"` } func (c *LLMClient) Recommend(prompt string) ([]model.MovieSuggestion, error) { payload := chatRequest{ Model: c.model, Messages: []chatMessage{{Role: "user", Content: prompt}}, } body, err := json.Marshal(payload) if err != nil { return nil, err } req, err := http.NewRequest(http.MethodPost, c.baseURL+"/chat/completions", bytes.NewReader(body)) if err != nil { return nil, err } req.Header.Set("Content-Type", "application/json") req.Header.Set("Accept", "application/json") if c.apiKey != "" { req.Header.Set("Authorization", "Bearer "+c.apiKey) } resp, err := c.http.Do(req) if err != nil { return nil, fmt.Errorf("llm request failed: %w", err) } defer resp.Body.Close() if resp.StatusCode != http.StatusOK { return nil, fmt.Errorf("llm returned status %d", resp.StatusCode) } var chatResp chatResponse if err := json.NewDecoder(resp.Body).Decode(&chatResp); err != nil { return nil, fmt.Errorf("decoding llm response: %w", err) } if len(chatResp.Choices) == 0 { return nil, fmt.Errorf("llm returned no choices") } return parseMovieSuggestions(chatResp.Choices[0].Message.Content) } // parseMovieSuggestions extracts a JSON array from LLM output, // handling markdown code fences and surrounding prose. func parseMovieSuggestions(content string) ([]model.MovieSuggestion, error) { content = strings.TrimSpace(content) // Strip markdown fences if idx := strings.Index(content, "```"); idx != -1 { content = content[idx:] content = strings.TrimPrefix(content, "```json") content = strings.TrimPrefix(content, "```") if end := strings.Index(content, "```"); end != -1 { content = content[:end] } content = strings.TrimSpace(content) } // Find JSON array boundaries start := strings.Index(content, "[") end := strings.LastIndex(content, "]") if start == -1 || end == -1 || end <= start { return nil, fmt.Errorf("no JSON array found in llm response: %s", content) } var suggestions []model.MovieSuggestion if err := json.Unmarshal([]byte(content[start:end+1]), &suggestions); err != nil { return nil, fmt.Errorf("parsing llm json: %w", err) } return suggestions, nil } // BuildPrompt constructs the recommendation prompt sent to the LLM. func BuildPrompt(favorites, watched, library []model.Movie, count int) string { var sb strings.Builder sb.WriteString(fmt.Sprintf( "You are a movie recommendation engine. Based on the user's favorite and recently watched movies below, suggest exactly %d movies they would enjoy.\n\n"+ "IMPORTANT:\n"+ "- Do NOT suggest any movie from the \"Already In Library\" list.\n"+ "- Return ONLY a JSON array, no other text.\n"+ "- Each entry: {\"title\": \"Movie Title\", \"year\": 2024, \"reason\": \"brief reason\"}\n\n"+ "User's favorite movies:\n", count)) if len(favorites) == 0 { sb.WriteString("(none)\n") } else { for _, m := range favorites { sb.WriteString(fmt.Sprintf("- %s (%d)\n", m.Name, m.Year)) } } sb.WriteString("\nUser's recently watched movies:\n") if len(watched) == 0 { sb.WriteString("(none)\n") } else { for _, m := range watched { sb.WriteString(fmt.Sprintf("- %s (%d)\n", m.Name, m.Year)) } } sb.WriteString("\nAlready in library (DO NOT suggest these):\n") for _, m := range library { sb.WriteString(fmt.Sprintf("- %s (%d)\n", m.Name, m.Year)) } return sb.String() }