Fixed: #1670
test(translator): add unit tests for OpenAI to Claude requests and tool result handling - Introduced tests for converting OpenAI requests to Claude with text, base64 images, and URL images in tool results. - Refactored `convertClaudeToolResultContent` and related functionality to properly handle raw content with images and text. - Updated conversion logic to streamline image handling for both base64 and URL formats.
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@@ -488,6 +488,114 @@ func TestConvertClaudeRequestToOpenAI_ToolResultObjectContent(t *testing.T) {
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}
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}
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func TestConvertClaudeRequestToOpenAI_ToolResultTextAndImageContent(t *testing.T) {
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inputJSON := `{
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"model": "claude-3-opus",
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"messages": [
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{
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"role": "assistant",
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"content": [
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{"type": "tool_use", "id": "call_1", "name": "do_work", "input": {"a": 1}}
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]
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},
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{
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"role": "user",
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"content": [
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{
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"type": "tool_result",
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"tool_use_id": "call_1",
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"content": [
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{"type": "text", "text": "tool ok"},
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{
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"type": "image",
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"source": {
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"type": "base64",
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"media_type": "image/png",
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"data": "iVBORw0KGgoAAAANSUhEUg=="
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}
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}
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]
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}
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]
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}
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]
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}`
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result := ConvertClaudeRequestToOpenAI("test-model", []byte(inputJSON), false)
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resultJSON := gjson.ParseBytes(result)
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messages := resultJSON.Get("messages").Array()
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if len(messages) != 2 {
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t.Fatalf("Expected 2 messages, got %d. Messages: %s", len(messages), resultJSON.Get("messages").Raw)
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}
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toolContent := messages[1].Get("content")
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if !toolContent.IsArray() {
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t.Fatalf("Expected tool content array, got %s", toolContent.Raw)
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}
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if got := toolContent.Get("0.type").String(); got != "text" {
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t.Fatalf("Expected first tool content type %q, got %q", "text", got)
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}
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if got := toolContent.Get("0.text").String(); got != "tool ok" {
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t.Fatalf("Expected first tool content text %q, got %q", "tool ok", got)
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}
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if got := toolContent.Get("1.type").String(); got != "image_url" {
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t.Fatalf("Expected second tool content type %q, got %q", "image_url", got)
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}
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if got := toolContent.Get("1.image_url.url").String(); got != "data:image/png;base64,iVBORw0KGgoAAAANSUhEUg==" {
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t.Fatalf("Unexpected image_url: %q", got)
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}
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}
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func TestConvertClaudeRequestToOpenAI_ToolResultURLImageOnly(t *testing.T) {
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inputJSON := `{
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"model": "claude-3-opus",
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"messages": [
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{
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"role": "assistant",
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"content": [
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{"type": "tool_use", "id": "call_1", "name": "do_work", "input": {"a": 1}}
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]
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},
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{
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"role": "user",
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"content": [
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{
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"type": "tool_result",
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"tool_use_id": "call_1",
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"content": {
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"type": "image",
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"source": {
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"type": "url",
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"url": "https://example.com/tool.png"
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}
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}
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}
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]
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}
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]
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}`
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result := ConvertClaudeRequestToOpenAI("test-model", []byte(inputJSON), false)
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resultJSON := gjson.ParseBytes(result)
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messages := resultJSON.Get("messages").Array()
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if len(messages) != 2 {
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t.Fatalf("Expected 2 messages, got %d. Messages: %s", len(messages), resultJSON.Get("messages").Raw)
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}
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toolContent := messages[1].Get("content")
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if !toolContent.IsArray() {
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t.Fatalf("Expected tool content array, got %s", toolContent.Raw)
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}
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if got := toolContent.Get("0.type").String(); got != "image_url" {
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t.Fatalf("Expected tool content type %q, got %q", "image_url", got)
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}
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if got := toolContent.Get("0.image_url.url").String(); got != "https://example.com/tool.png" {
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t.Fatalf("Unexpected image_url: %q", got)
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}
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}
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func TestConvertClaudeRequestToOpenAI_AssistantTextToolUseTextOrder(t *testing.T) {
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inputJSON := `{
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"model": "claude-3-opus",
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