[OpenAI] Add parameter metadata to validation errors (#30134)

Signed-off-by: Rehan Khan <Rehan.Khan7@ibm.com>

vllm/entrypoints/renderer.py

@@ -12,6 +12,7 @@ import torch
 from pydantic import Field
 
 from vllm.config import ModelConfig
+from vllm.entrypoints.openai.protocol import VLLMValidationError
 from vllm.inputs.data import EmbedsPrompt, TextPrompt, TokensPrompt
 from vllm.inputs.parse import get_prompt_components, parse_raw_prompts
 from vllm.tokenizers import TokenizerLike
@@ -162,8 +163,9 @@ class BaseRenderer(ABC):
     ) -> list[EmbedsPrompt]:
         """Load and validate base64-encoded embeddings into prompt objects."""
         if not self.model_config.enable_prompt_embeds:
-            raise ValueError(
-                "You must set `--enable-prompt-embeds` to input `prompt_embeds`."
+            raise VLLMValidationError(
+                "You must set `--enable-prompt-embeds` to input `prompt_embeds`.",
+                parameter="prompt_embeds",
             )
 
         def _load_and_validate_embed(embed: bytes) -> EmbedsPrompt:
@@ -396,10 +398,12 @@ class CompletionRenderer(BaseRenderer):
     ) -> TokensPrompt:
         """Create validated TokensPrompt."""
         if max_length is not None and len(token_ids) > max_length:
-            raise ValueError(
+            raise VLLMValidationError(
                 f"This model's maximum context length is {max_length} tokens. "
                 f"However, your request has {len(token_ids)} input tokens. "
-                "Please reduce the length of the input messages."
+                "Please reduce the length of the input messages.",
+                parameter="input_tokens",
+                value=len(token_ids),
             )
 
         tokens_prompt = TokensPrompt(prompt_token_ids=token_ids)