62 lines
2.2 KiB
Python
62 lines
2.2 KiB
Python
from typing import List
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from sglang.srt.entrypoints.openai.protocol import Tool
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from sglang.srt.function_call.base_format_detector import BaseFormatDetector
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from sglang.srt.function_call.core_types import StreamingParseResult
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class JsonArrayParser(BaseFormatDetector):
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"""
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Parser for JSON array tool calls when JSON schema constraints are active.
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This parser is used when tool_choice="required" or a specific tool is named,
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bypassing model-specific parsers in favor of direct JSON array parsing.
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"""
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def __init__(self):
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super().__init__()
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# Configure for JSON array parsing
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self.bot_token = "["
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self.eot_token = "]"
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self.tool_call_separator = ","
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def has_tool_call(self, text: str) -> bool:
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"""
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Check if the given text contains a JSON tool call (array or single object).
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"""
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return "[" in text or "{" in text
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def detect_and_parse(self, text: str, tools: List[Tool]) -> StreamingParseResult:
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"""
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Parse JSON tool calls using the base class implementation.
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"""
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raise NotImplementedError(
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"Detect and parse not supported for JSON schema constraints."
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)
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def build_ebnf(self, tools: List[Tool]) -> str:
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"""
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Build an EBNF grammar for constrained generation.
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This is not used for JSON schema constraints as they are handled
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by the constraint backends directly.
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"""
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raise NotImplementedError(
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"EBNF generation is not supported for JSON schema constraints."
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)
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def parse_streaming_increment(
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self, new_text: str, tools: List[Tool]
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) -> StreamingParseResult:
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"""
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Streaming incremental parsing with tool validation.
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"""
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return super().parse_streaming_increment(new_text, tools)
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def structure_info(self) -> callable:
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"""
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Return a function that creates StructureInfo for constrained generation.
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This is not used for JSON schema constraints as they are handled
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by the constraint backends directly.
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"""
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raise NotImplementedError("structure_info not used for JSON schema constraints")
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