Let reward model take text inputs instead of message lists (#1907)

Co-authored-by: Kyle Corbitt <kyle@corbt.com>

python/sglang/srt/hf_transformers_utils.py

@@ -88,11 +88,8 @@ CONTEXT_LENGTH_KEYS = [
 
 
 def get_context_length(config):
-    """Get the context length of a model from a huggingface model configs.
-    And here the config should be text_config part if the model is a multimodal
-    LLM.
-    """
-    text_config = getattr(config, "text_config", config)
+    """Get the context length of a model from a huggingface model configs."""
+    text_config = config
     rope_scaling = getattr(text_config, "rope_scaling", None)
     if rope_scaling:
         rope_scaling_factor = rope_scaling.get("factor", 1)