Initial project import

services/protocol/openai_v1_image_generations.py

@@ -0,0 +1,42 @@
+from __future__ import annotations
+
+from typing import Any, Iterator
+
+from services.protocol.conversation import (
+    ConversationRequest,
+    collect_image_outputs,
+    count_text_tokens,
+    stream_image_chunks,
+    stream_image_outputs_with_pool,
+)
+from utils.image_tokens import count_image_output_items_tokens, image_usage
+
+
+def handle(body: dict[str, Any]) -> dict[str, Any] | Iterator[dict[str, Any]]:
+    prompt = str(body.get("prompt") or "")
+    model = str(body.get("model") or "gpt-image-2")
+    n = int(body.get("n") or 1)
+    size = body.get("size")
+    quality = str(body.get("quality") or "auto")
+    response_format = str(body.get("response_format") or "b64_json")
+    base_url = str(body.get("base_url") or "") or None
+    progress_callback = body.get("progress_callback")
+    outputs = stream_image_outputs_with_pool(ConversationRequest(
+        prompt=prompt,
+        model=model,
+        n=n,
+        size=size,
+        quality=quality,
+        response_format=response_format,
+        base_url=base_url,
+        message_as_error=True,
+        progress_callback=progress_callback,
+    ))
+    if body.get("stream"):
+        return stream_image_chunks(outputs)
+    result = collect_image_outputs(outputs)
+    result["usage"] = image_usage(
+        input_text_tokens=count_text_tokens(prompt, model),
+        output_tokens=count_image_output_items_tokens(result.get("data"), size, quality),
+    )
+    return result