add llm adapter interface and implementations

internal/llm/prompt.go

@@ -0,0 +1,65 @@
+package llm
+
+import (
+	"fmt"
+	"strings"
+)
+
+// PostProcessingOptions controls which cleanup operations to request
+type PostProcessingOptions struct {
+	RemoveStutters    bool
+	AddPunctuation    bool
+	FixGrammar        bool
+	RemoveFillerWords bool
+}
+
+// BuildSystemPrompt generates the system prompt for text cleanup
+func BuildSystemPrompt(opts PostProcessingOptions, keywords []string) string {
+	var tasks []string
+
+	if opts.RemoveStutters {
+		tasks = append(tasks, "Remove stutters and repeated words/phrases")
+	}
+	if opts.AddPunctuation {
+		tasks = append(tasks, "Add proper punctuation")
+	}
+	if opts.FixGrammar {
+		tasks = append(tasks, "Fix grammar errors")
+	}
+	if opts.RemoveFillerWords {
+		tasks = append(tasks, "Remove filler words (um, uh, like, you know, etc.)")
+	}
+
+	// If no tasks, just clean up generally
+	if len(tasks) == 0 {
+		tasks = append(tasks, "Clean up the text while preserving meaning")
+	}
+
+	prompt := "You are a text cleanup assistant. Your job is to clean up speech-to-text transcriptions.\n\n"
+	prompt += "Tasks:\n"
+	for _, task := range tasks {
+		prompt += fmt.Sprintf("- %s\n", task)
+	}
+
+	prompt += "\nRules:\n"
+	prompt += "- Preserve the original meaning and intent\n"
+	prompt += "- Keep the same language as the input\n"
+	prompt += "- Do not add any new information\n"
+	prompt += "- Do not remove meaningful content\n"
+	prompt += "- Output ONLY the cleaned text, nothing else\n"
+	prompt += "- If the input is empty or nonsensical, return it as-is\n"
+
+	if len(keywords) > 0 {
+		prompt += fmt.Sprintf("\nContext keywords (use correct spelling for these terms): %s\n", strings.Join(keywords, ", "))
+	}
+
+	return prompt
+}
+
+// BuildUserPrompt generates the user prompt with the text to process
+func BuildUserPrompt(text string, customPrompt string) string {
+	if customPrompt != "" {
+		return fmt.Sprintf("%s\n\nText to process:\n%s", customPrompt, text)
+	}
+	return text
+}