Fix unmarshalling issues and adjust logging for debugging

Modify `FunctionCall` struct to handle arguments as strings. Add debugging logs to facilitate error tracing and improve JSON unmarshalling in various functions.

anthropic.go

@@ -2,6 +2,7 @@ package go_llm
 
 import (
 	"context"
+	"encoding/json"
 	"fmt"
 	anth "github.com/liushuangls/go-anthropic/v2"
 	"log"
@@ -120,15 +121,20 @@ func (a anthropic) responseToLLMResponse(in anth.MessagesResponse) Response {
 
 		case anth.MessagesContentTypeToolUse:
 			if msg.MessageContentToolUse != nil {
+				b, e := json.Marshal(msg.MessageContentToolUse.Input)
+				if e != nil {
+					log.Println("failed to marshal input", e)
+				} else {
 					choice.Calls = append(choice.Calls, ToolCall{
 						ID: msg.MessageContentToolUse.ID,
 						FunctionCall: FunctionCall{
 							Name:      msg.MessageContentToolUse.Name,
-						Arguments: msg.MessageContentToolUse.Input,
+							Arguments: string(b),
 						},
 					})
 				}
 			}
+		}
 
 		res.Choices = append(res.Choices, choice)
 	}

function.go

@@ -37,16 +37,17 @@ func (f *Function) Execute(ctx context.Context, input string) (string, error) {
 	}
 
 	// first, we need to parse the input into the struct
-	p := reflect.New(f.paramType).Elem()
+	p := reflect.New(f.paramType)
+	fmt.Println("Function.Execute", f.Name, "input:", input)
 	//m := map[string]any{}
-	err := json.Unmarshal([]byte(input), p.Addr().Interface())
+	err := json.Unmarshal([]byte(input), p.Interface())
 	if err != nil {
-		return "", fmt.Errorf("failed to unmarshal input: %w", err)
+		return "", fmt.Errorf("failed to unmarshal input: %w (input: %s)", err, input)
 	}
 
 	// now we can call the function
 	exec := func(ctx context.Context) (string, error) {
-		out := f.fn.Call([]reflect.Value{reflect.ValueOf(ctx), p})
+		out := f.fn.Call([]reflect.Value{reflect.ValueOf(ctx), p.Elem()})
 
 		if len(out) != 2 {
 			return "", fmt.Errorf("function %s must return two values, got %d", f.Name, len(out))
@@ -87,5 +88,5 @@ func (f *Function) toOpenAIDefinition() jsonschema.Definition {
 
 type FunctionCall struct {
 	Name      string `json:"name,omitempty"`
-	Arguments any    `json:"arguments,omitempty"`
+	Arguments string `json:"arguments,omitempty"`
 }

google.go

@@ -2,6 +2,7 @@ package go_llm
 
 import (
 	"context"
+	"encoding/json"
 	"fmt"
 	"github.com/google/generative-ai-go/genai"
 	"google.golang.org/api/option"
@@ -63,11 +64,17 @@ func (g google) responseToLLMResponse(in *genai.GenerateContentResponse) (Respon
 					choice := ResponseChoice{}
 
 					choice.Content = v.Name
+					b, e := json.Marshal(v.Args)
+
+					if e != nil {
+						return Response{}, fmt.Errorf("error marshalling args: %w", e)
+					}
+
 					call := ToolCall{
 						ID: v.Name,
 						FunctionCall: FunctionCall{
 							Name:      v.Name,
-							Arguments: v.Args,
+							Arguments: string(b),
 						},
 					}
 

openai.go

@@ -64,9 +64,11 @@ func (o openaiImpl) requestToOpenAIRequest(request Request) oai.ChatCompletionRe
 				Name:        tool.Name,
 				Description: tool.Description,
 				Strict:      tool.Strict,
-				Parameters:  tool.Parameters,
+				Parameters:  tool.Parameters.Definition(),
 			},
 		})
+
+		fmt.Println("tool:", tool.Name, tool.Description, tool.Strict, tool.Parameters.Definition())
 	}
 
 	if request.Temperature != nil {
@@ -94,8 +96,9 @@ func (o openaiImpl) responseToLLMResponse(response oai.ChatCompletionResponse) R
 	res := Response{}
 
 	for _, choice := range response.Choices {
-		var tools []ToolCall
+		var toolCalls []ToolCall
 		for _, call := range choice.Message.ToolCalls {
+			fmt.Println("responseToLLMResponse: call:", call.Function.Arguments)
 			toolCall := ToolCall{
 				ID: call.ID,
 				FunctionCall: FunctionCall{
@@ -104,7 +107,9 @@ func (o openaiImpl) responseToLLMResponse(response oai.ChatCompletionResponse) R
 				},
 			}
 
-			tools = append(tools, toolCall)
+			fmt.Println("toolCall.FunctionCall.Arguments:", toolCall.FunctionCall.Arguments)
+
+			toolCalls = append(toolCalls, toolCall)
 
 		}
 		res.Choices = append(res.Choices, ResponseChoice{
@@ -112,6 +117,7 @@ func (o openaiImpl) responseToLLMResponse(response oai.ChatCompletionResponse) R
 			Role:    Role(choice.Message.Role),
 			Name:    choice.Message.Name,
 			Refusal: choice.Message.Refusal,
+			Calls:   toolCalls,
 		})
 	}
 

toolbox.go

@@ -2,11 +2,9 @@ package go_llm
 
 import (
 	"context"
-	"encoding/json"
 	"errors"
 	"fmt"
 	"github.com/sashabaranov/go-openai"
-	"log/slog"
 )
 
 // ToolBox is a collection of tools that OpenAI can use to execute functions.
@@ -69,8 +67,6 @@ var (
 func (t *ToolBox) ExecuteFunction(ctx context.Context, functionName string, params string) (string, error) {
 	f, ok := t.names[functionName]
 
-	slog.Info("functionName", functionName)
-
 	if !ok {
 		return "", newError(ErrFunctionNotFound, fmt.Errorf("function \"%s\" not found", functionName))
 	}
@@ -79,12 +75,5 @@ func (t *ToolBox) ExecuteFunction(ctx context.Context, functionName string, para
 }
 
 func (t *ToolBox) Execute(ctx context.Context, toolCall ToolCall) (string, error) {
-	slog.Info("toolCall", toolCall)
+	return t.ExecuteFunction(ctx, toolCall.FunctionCall.Name, toolCall.FunctionCall.Arguments)
-
-	b, err := json.Marshal(toolCall.FunctionCall.Arguments)
-
-	if err != nil {
-		return "", fmt.Errorf("failed to marshal arguments: %w", err)
-	}
-	return t.ExecuteFunction(ctx, toolCall.ID, string(b))
 }