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.
This commit is contained in:
Luis Pater
2026-03-07 09:25:22 +08:00
parent 5ebc58fab4
commit 93fb841bcb
4 changed files with 410 additions and 53 deletions
@@ -488,6 +488,114 @@ func TestConvertClaudeRequestToOpenAI_ToolResultObjectContent(t *testing.T) {
}
}
func TestConvertClaudeRequestToOpenAI_ToolResultTextAndImageContent(t *testing.T) {
inputJSON := `{
"model": "claude-3-opus",
"messages": [
{
"role": "assistant",
"content": [
{"type": "tool_use", "id": "call_1", "name": "do_work", "input": {"a": 1}}
]
},
{
"role": "user",
"content": [
{
"type": "tool_result",
"tool_use_id": "call_1",
"content": [
{"type": "text", "text": "tool ok"},
{
"type": "image",
"source": {
"type": "base64",
"media_type": "image/png",
"data": "iVBORw0KGgoAAAANSUhEUg=="
}
}
]
}
]
}
]
}`
result := ConvertClaudeRequestToOpenAI("test-model", []byte(inputJSON), false)
resultJSON := gjson.ParseBytes(result)
messages := resultJSON.Get("messages").Array()
if len(messages) != 2 {
t.Fatalf("Expected 2 messages, got %d. Messages: %s", len(messages), resultJSON.Get("messages").Raw)
}
toolContent := messages[1].Get("content")
if !toolContent.IsArray() {
t.Fatalf("Expected tool content array, got %s", toolContent.Raw)
}
if got := toolContent.Get("0.type").String(); got != "text" {
t.Fatalf("Expected first tool content type %q, got %q", "text", got)
}
if got := toolContent.Get("0.text").String(); got != "tool ok" {
t.Fatalf("Expected first tool content text %q, got %q", "tool ok", got)
}
if got := toolContent.Get("1.type").String(); got != "image_url" {
t.Fatalf("Expected second tool content type %q, got %q", "image_url", got)
}
if got := toolContent.Get("1.image_url.url").String(); got != "data:image/png;base64,iVBORw0KGgoAAAANSUhEUg==" {
t.Fatalf("Unexpected image_url: %q", got)
}
}
func TestConvertClaudeRequestToOpenAI_ToolResultURLImageOnly(t *testing.T) {
inputJSON := `{
"model": "claude-3-opus",
"messages": [
{
"role": "assistant",
"content": [
{"type": "tool_use", "id": "call_1", "name": "do_work", "input": {"a": 1}}
]
},
{
"role": "user",
"content": [
{
"type": "tool_result",
"tool_use_id": "call_1",
"content": {
"type": "image",
"source": {
"type": "url",
"url": "https://example.com/tool.png"
}
}
}
]
}
]
}`
result := ConvertClaudeRequestToOpenAI("test-model", []byte(inputJSON), false)
resultJSON := gjson.ParseBytes(result)
messages := resultJSON.Get("messages").Array()
if len(messages) != 2 {
t.Fatalf("Expected 2 messages, got %d. Messages: %s", len(messages), resultJSON.Get("messages").Raw)
}
toolContent := messages[1].Get("content")
if !toolContent.IsArray() {
t.Fatalf("Expected tool content array, got %s", toolContent.Raw)
}
if got := toolContent.Get("0.type").String(); got != "image_url" {
t.Fatalf("Expected tool content type %q, got %q", "image_url", got)
}
if got := toolContent.Get("0.image_url.url").String(); got != "https://example.com/tool.png" {
t.Fatalf("Unexpected image_url: %q", got)
}
}
func TestConvertClaudeRequestToOpenAI_AssistantTextToolUseTextOrder(t *testing.T) {
inputJSON := `{
"model": "claude-3-opus",