[Minor] clean up multimodal processor and tokenizer manager (#7624)

python/sglang/srt/entrypoints/http_server.py

@@ -353,8 +353,7 @@ async def generate_from_file_request(file: UploadFile, request: Request):
     obj = GenerateReqInput(
         input_embeds=input_embeds,
         sampling_params={
-            "repetition_penalty": 1.2,
-            "temperature": 0.2,
+            "temperature": 0.0,
             "max_new_tokens": 512,
         },
     )
@@ -393,16 +392,6 @@ async def classify_request(obj: EmbeddingReqInput, request: Request):
         return _create_error_response(e)
 
 
-@app.api_route(
-    "/v1/rerank", methods=["POST", "PUT"], dependencies=[Depends(validate_json_request)]
-)
-async def v1_rerank_request(request: V1RerankReqInput, raw_request: Request):
-    """Endpoint for reranking documents based on query relevance."""
-    return await raw_request.app.state.openai_serving_rerank.handle_request(
-        request, raw_request
-    )
-
-
 @app.api_route("/flush_cache", methods=["GET", "POST"])
 async def flush_cache():
     """Flush the radix cache."""
@@ -841,6 +830,16 @@ async def v1_score_request(request: ScoringRequest, raw_request: Request):
     )
 
 
+@app.api_route(
+    "/v1/rerank", methods=["POST", "PUT"], dependencies=[Depends(validate_json_request)]
+)
+async def v1_rerank_request(request: V1RerankReqInput, raw_request: Request):
+    """Endpoint for reranking documents based on query relevance."""
+    return await raw_request.app.state.openai_serving_rerank.handle_request(
+        request, raw_request
+    )
+
+
 def _create_error_response(e):
     return ORJSONResponse(
         {"error": {"message": str(e)}}, status_code=HTTPStatus.BAD_REQUEST