examples: clarify openai-function-call-example (#751)

examples: clearify openai-function-call-example

clean up the flow and don't use globals

examples/openai-function-call-example/openai_function_call_example.go

@@ -24,31 +24,30 @@ func main() {
 	}
 
 	fmt.Println("Querying for weather in Boston and Chicago..")
-	resp := queryLLM(ctx, llm, messageHistory)
+	resp := queryLLM(ctx, llm, messageHistory, availableTools)
+	fmt.Println("Initial response:", showResponse(resp))
 	messageHistory = updateMessageHistory(messageHistory, resp)
 
-	if resp.Choices[0].Content != "" {
-		fmt.Println("Response to weather query:", resp.Choices[0].Content)
-	}
-
 	messageHistory = executeToolCalls(ctx, llm, messageHistory, resp)
 
 	messageHistory = append(messageHistory, llms.TextParts(schema.ChatMessageTypeHuman, "Can you compare the two?"))
-	fmt.Println("Querying for comparison..")
-	resp = queryLLM(ctx, llm, messageHistory)
+	fmt.Println("Querying with tool response...")
+	resp = queryLLM(ctx, llm, messageHistory, availableTools)
 	fmt.Println(resp.Choices[0].Content)
 }
 
-// queryLLM queries the LLM with the given message history and returns the response.
-func queryLLM(ctx context.Context, llm llms.Model, messageHistory []llms.MessageContent) *llms.ContentResponse {
+// queryLLM queries the LLM with the given message history and list of available
+// tools, and returns the response.
+func queryLLM(ctx context.Context, llm llms.Model, messageHistory []llms.MessageContent, tools []llms.Tool) *llms.ContentResponse {
 	resp, err := llm.GenerateContent(ctx, messageHistory, llms.WithTools(tools))
 	if err != nil {
 		log.Fatal(err)
 	}
 	return resp
 }
 
-// updateMessageHistory updates the message history with the assistant's response.
+// updateMessageHistory updates the message history with the assistant's
+// response, and translates tool calls.
 func updateMessageHistory(messageHistory []llms.MessageContent, resp *llms.ContentResponse) []llms.MessageContent {
 	assistantResponse := llms.MessageContent{
 		Role: schema.ChatMessageTypeAI,
@@ -66,7 +65,8 @@ func updateMessageHistory(messageHistory []llms.MessageContent, resp *llms.Conte
 	return append(messageHistory, assistantResponse)
 }
 
-// executeToolCalls executes the tool calls in the response and returns the updated message history.
+// executeToolCalls executes the tool calls in the response and returns the
+// updated message history.
 func executeToolCalls(ctx context.Context, llm llms.Model, messageHistory []llms.MessageContent, resp *llms.ContentResponse) []llms.MessageContent {
 	for _, toolCall := range resp.Choices[0].ToolCalls {
 		switch toolCall.FunctionCall.Name {
@@ -95,7 +95,6 @@ func executeToolCalls(ctx context.Context, llm llms.Model, messageHistory []llms
 				},
 			}
 			messageHistory = append(messageHistory, weatherCallResponse)
-			fmt.Println("Response to weather query:", args, response)
 		default:
 			log.Fatalf("Unsupported tool: %s", toolCall.FunctionCall.Name)
 		}
@@ -105,6 +104,11 @@ func executeToolCalls(ctx context.Context, llm llms.Model, messageHistory []llms
 }
 
 func getCurrentWeather(location string, unit string) (string, error) {
+	weatherResponses := map[string]string{
+		"boston":  "72 and sunny",
+		"chicago": "65 and windy",
+	}
+
 	weatherInfo, ok := weatherResponses[strings.ToLower(location)]
 	if !ok {
 		return "", fmt.Errorf("no weather info for %q", location)
@@ -118,12 +122,9 @@ func getCurrentWeather(location string, unit string) (string, error) {
 	return string(b), nil
 }
 
-var weatherResponses = map[string]string{
-	"boston":  "72 and sunny",
-	"chicago": "65 and windy",
-}
-
-var tools = []llms.Tool{
+// availableTools simulates the tools/functions we're making available for
+// the model.
+var availableTools = []llms.Tool{
 	{
 		Type: "function",
 		Function: &llms.FunctionDefinition{
@@ -146,3 +147,11 @@ var tools = []llms.Tool{
 		},
 	},
 }
+
+func showResponse(resp *llms.ContentResponse) string {
+	b, err := json.MarshalIndent(resp, "", "  ")
+	if err != nil {
+		log.Fatal(err)
+	}
+	return string(b)
+}