add HyperCLOVAX tool & reasoning parser#39477
add HyperCLOVAX tool & reasoning parser#39477jp1924 wants to merge 4 commits intovllm-project:mainfrom
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…hints Signed-off-by: jp1924 <jsb10121249@gmail.com>
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Code Review
This pull request introduces support for HyperCLOVA-X models by implementing the HyperCLOVAXReasoningParser and HyperCLOVAXToolParser, along with comprehensive test suites for both. The reasoning parser handles specific markers like /think and assistant separators, while the tool parser manages function call extraction. Review feedback identifies critical improvement opportunities in the tool parser: the streaming implementation currently processes only one tool call per delta and lacks argument streaming, and the non-streaming fallback logic for partial JSON is fragile and assumes a specific list structure.
| candidate = function_call_text[ | ||
| opening_brace_index : closing_brace_index + 1 | ||
| ] | ||
| try: | ||
| parsed = json.loads(candidate) | ||
| except json.JSONDecodeError: | ||
| continue | ||
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| if not isinstance(parsed, dict): | ||
| continue | ||
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| self.current_tool_id += 1 | ||
| self.tool_call_offset += closing_brace_index + 1 | ||
| self.prev_tool_call_arr.append(parsed) | ||
| self.streamed_args_for_tool.append(candidate) | ||
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| return DeltaMessage( | ||
| tool_calls=[ | ||
| DeltaToolCall( | ||
| index=self.current_tool_id, | ||
| type="function", | ||
| id=make_tool_call_id(), | ||
| function=DeltaFunctionCall( | ||
| name=parsed.get("name", ""), | ||
| arguments=json.dumps( | ||
| parsed.get("arguments", ""), ensure_ascii=False | ||
| ), | ||
| ).model_dump(exclude_none=True), | ||
| ) | ||
| ] | ||
| ) |
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The current implementation of extract_tool_calls_streaming only returns the first tool call found in a given delta, even if multiple tool calls are present in the buffer. While subsequent tool calls will be processed in future calls to this method (triggered by new tokens), this can lead to missed tool calls if the stream ends abruptly or if multiple tool calls are contained within the final delta. Furthermore, it does not stream the arguments of the tool call, but rather waits for a complete JSON object.
To ensure all tool calls in a single delta are captured and emitted, you should collect all valid tool calls found in the loop and return them, or utilize the _pending_messages buffer which is currently unused.
| if tool_call_match.group(1) is not None: | ||
| raw_function_calls = json.loads(tool_call_match.group(1)) | ||
| else: | ||
| raw_function_calls = json.loads(tool_call_match.group(2) + "]") |
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The fallback logic for incomplete tool calls in extract_tool_calls assumes that the model output is a partial JSON list that was cut off exactly before the closing bracket. If the model output does not follow this specific structure (e.g., it's a single object not wrapped in a list, or it's cut off mid-object), json.loads(tool_call_match.group(2) + "]") will throw a JSONDecodeError. While this is caught by the general exception handler, a more robust approach to partial JSON parsing would be preferable.
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Could you run the examples/online_serving/openai_chat_completion_tool_calls_with_reasoning.py test and https://gist.github.com/sfeng33/454eda23bc34be5a8133bf02418d0a53 and paste the results into the PR description?
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I think a direct port of the previous hcx-plugin repo verbatim is insufficient; We've refactored the tool/reasoning parsers recently so there's incompatibility here and there (e.g. after #38029 tool parsers must be passed the tool list, e.t.c) |
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Yeah, you're right. I'll make the necessary changes. |
3 participants
Purpose
Add reasoning parser and tool parser support for NAVER HyperCLOVA X (HCX) models to vLLM.
This ports the HCX-specific parsers from the hcx-vllm-plugin into the vLLM core, enabling native support for HyperCLOVA X models (e.g.,
naver-hyperclovax/HyperCLOVAX-SEED-Think-32B) without requiring an external plugin.Changes:
vllm/reasoning/hyperclovax_reasoning_parser.py—HyperCLOVAXReasoningParserthat separates chain-of-thought reasoning content (wrapped in/think\n ... <|im_end|>\n<|im_start|>assistant) from the final response, with full streaming supportvllm/tool_parsers/hyperclovax_tool_parser.py—HyperCLOVAXToolParserthat extracts tool/function calls from the model's-> tool/function_call\nmarker format, supporting parallel tool calls, incomplete JSON payloads, and streaming"hyperclovax"in their respective__init__.pyfilesUsage:
Test Plan
pytest tests/reasoning/test_hyperclovax_reasoning_parser.py \ tests/tool_parsers/test_hyperclovax_tool_parser.py -vTest Result
pytest
pre-commit run
Essential Elements of an Effective PR Description Checklist
supported_models.mdandexamplesfor a new model.