Add minimal vLLM 0.16.1 build repo for BI-V150

vllm/parser/minimax_m2_parser.py

@@ -0,0 +1,52 @@
+# SPDX-License-Identifier: Apache-2.0
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+
+"""
+MiniMax M2 Parser - A unified parser for MiniMax M2 models.
+
+This parser combines the existing MiniMaxM2ReasoningParser and
+MinimaxM2ToolParser into a single unified interface by delegating
+to those implementations.
+"""
+
+from vllm.logger import init_logger
+from vllm.parser.abstract_parser import DelegatingParser
+from vllm.reasoning.minimax_m2_reasoning_parser import MiniMaxM2ReasoningParser
+from vllm.tokenizers import TokenizerLike
+from vllm.tool_parsers.minimax_m2_tool_parser import MinimaxM2ToolParser
+
+logger = init_logger(__name__)
+
+
+class MiniMaxM2Parser(DelegatingParser):
+    """
+    Unified parser for MiniMax M2 models that handles both reasoning
+    extraction and tool call parsing.
+
+    This parser delegates to the existing implementations:
+    - MiniMaxM2ReasoningParser for reasoning extraction
+    - MinimaxM2ToolParser for tool call parsing
+
+    MiniMax M2 models have two special behaviors:
+    1. Reasoning: They don't generate <think> start token, only </think> end
+       token. All content before </think> is reasoning, content after is the
+       actual response.
+    2. Tool Calls: They use <minimax:tool_call>...</minimax:tool_call> tags
+       with <invoke name="...">...</invoke> and <parameter name="...">...</parameter>
+       syntax.
+    """
+
+    # Class-level parser classes for compatibility
+    reasoning_parser_cls = MiniMaxM2ReasoningParser
+    tool_parser_cls = MinimaxM2ToolParser
+
+    def __init__(self, tokenizer: TokenizerLike):
+        super().__init__(tokenizer)
+
+        # Initialize the underlying parsers
+        self._reasoning_parser = MiniMaxM2ReasoningParser(tokenizer)
+        self._tool_parser = MinimaxM2ToolParser(tokenizer)
+
+        logger.debug(
+            "vLLM Successfully initialized parser %s!", self.__class__.__name__
+        )