add some other useful prompts

LLMMapper/llmMapper.go

@@ -71,7 +71,7 @@ func singlePromptInteraction(systemPrompt, prompt string, retries int) (openai.C
 			seconds := (1 / float64(retries)) * 60 // back off for each retry e.g. 12, 15, 20, 30, 60
 			fmt.Printf("429 error, waiting %v seconds...\n", seconds)
 			time.Sleep(time.Duration(seconds) * time.Second)
-			return singlePromptInteraction(systemPrompt, prompt, retries-1) // TODO: establish base case to prevent forever retrying
+			return singlePromptInteraction(systemPrompt, prompt, retries-1)
 		}
 		return openai.ChatCompletionResponse{}, fmt.Errorf("ChatCompletion request error: %w", err)
 	}
@@ -125,7 +125,7 @@ func sendPrompt(messages []openai.ChatCompletionMessage, retries int) (openai.Ch
 			seconds := (1 / float64(retries)) * 60 // back off for each retry e.g. 12, 15, 20, 30, 60
 			fmt.Printf("429 error, waiting %v seconds...\n", seconds)
 			time.Sleep(time.Duration(seconds) * time.Second)
-			return sendPrompt(messages, retries-1) // TODO: establish base case to prevent forever retrying
+			return sendPrompt(messages, retries-1)
 		}
 		return openai.ChatCompletionResponse{}, fmt.Errorf("ChatCompletion request error: %w", err)
 	}

prompts/linux-machine-convo-user-prompt.tmpl

@@ -0,0 +1,2 @@
+{{.userPrompt}}
+Let's think step by step.

prompts/linux-sys-prompt.tmpl

@@ -0,0 +1 @@
+Your job is to take a prompt from the user and generate a bash command or script to search for more context within files stored on the machine. Some previous conversations are stored in `/conversations`. Those conversations will fill in any gaps in your knowledge. Remember these conversations are free form. You'll need to allow for some fuzzy searching rather than using exact phrases. Feel free to use the best Linux tool available. Always respond with a bash command or script.