- **Add SPDX license headers to python source files** - **Check for SPDX headers using pre-commit** commit 9d7ef44c3cfb72ca4c32e1c677d99259d10d4745 Author: Russell Bryant <rbryant@redhat.com> Date: Fri Jan 31 14:18:24 2025 -0500 Add SPDX license headers to python source files This commit adds SPDX license headers to python source files as recommended to the project by the Linux Foundation. These headers provide a concise way that is both human and machine readable for communicating license information for each source file. It helps avoid any ambiguity about the license of the code and can also be easily used by tools to help manage license compliance. The Linux Foundation runs license scans against the codebase to help ensure we are in compliance with the licenses of the code we use, including dependencies. Having these headers in place helps that tool do its job. More information can be found on the SPDX site: - https://spdx.dev/learn/handling-license-info/ Signed-off-by: Russell Bryant <rbryant@redhat.com> commit 5a1cf1cb3b80759131c73f6a9dddebccac039dea Author: Russell Bryant <rbryant@redhat.com> Date: Fri Jan 31 14:36:32 2025 -0500 Check for SPDX headers using pre-commit Signed-off-by: Russell Bryant <rbryant@redhat.com> --------- Signed-off-by: Russell Bryant <rbryant@redhat.com>
292 lines
12 KiB
Python
292 lines
12 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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import ast
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import json
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import re
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from typing import Any, Sequence, Tuple, Union
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from transformers import PreTrainedTokenizerBase
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from vllm.entrypoints.openai.protocol import (ChatCompletionRequest,
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DeltaFunctionCall, DeltaMessage,
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DeltaToolCall,
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ExtractedToolCallInformation,
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FunctionCall, ToolCall)
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from vllm.entrypoints.openai.tool_parsers.abstract_tool_parser import (
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ToolParser, ToolParserManager)
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from vllm.logger import init_logger
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logger = init_logger(__name__)
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class _UnexpectedAstError(Exception):
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pass
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@ToolParserManager.register_module("pythonic")
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class PythonicToolParser(ToolParser):
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"""
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Tool call parser for models that produce tool calls in a pythonic style,
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such as Llama 3.2 models.
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Used when --enable-auto-tool-choice --tool-call-parser pythonic are all set
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"""
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# TODO(mdepinet): Possible future improvements:
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# 1. Support text + tools separated by either <|python_tag|> or \n\n
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# 2. Support tools outside of a list (or separated by a semicolon).
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# This depends on item 1 for consistent streaming.
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# Neither of these are necessary for e.g. ToolACE, but both would help make
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# Llama3.2 models more reliable.
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TOOL_CALL_REGEX = re.compile(
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r"\[([a-zA-Z]+\w*\(([a-zA-Z]+\w*=.*,\s*)*([a-zA-Z]+\w*=.*\s)?\),\s*)*([a-zA-Z]+\w*\(([a-zA-Z]+\w*=.*,\s*)*([a-zA-Z]+\w*=.*\s*)?\)\s*)+\]",
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re.DOTALL)
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def __init__(self, tokenizer: PreTrainedTokenizerBase):
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super().__init__(tokenizer)
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# Rename for readability. This is NOT a tool id.
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@property
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def current_tool_index(self) -> int:
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return self.current_tool_id
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@current_tool_index.setter
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def current_tool_index(self, value: int) -> None:
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self.current_tool_id = value
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def extract_tool_calls(
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self, model_output: str,
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request: ChatCompletionRequest) -> ExtractedToolCallInformation:
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"""
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Extract the tool calls from a complete model response.
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"""
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if not (self.TOOL_CALL_REGEX.match(model_output)):
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return ExtractedToolCallInformation(tools_called=False,
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tool_calls=[],
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content=model_output)
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try:
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module = ast.parse(model_output)
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parsed = getattr(module.body[0], "value", None)
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if isinstance(parsed, ast.List) and all(
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isinstance(e, ast.Call) for e in parsed.elts):
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return ExtractedToolCallInformation(
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tools_called=True,
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tool_calls=[
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_handle_single_tool(e) # type: ignore
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for e in parsed.elts
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],
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content=None)
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else:
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raise _UnexpectedAstError(
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"Tool output must be a list of function calls")
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except Exception:
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logger.exception("Error in extracting tool call from response.")
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# Treat as regular text
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return ExtractedToolCallInformation(tools_called=False,
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tool_calls=[],
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content=model_output)
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def extract_tool_calls_streaming(
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self,
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previous_text: str,
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current_text: str,
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delta_text: str,
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previous_token_ids: Sequence[int],
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current_token_ids: Sequence[int],
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delta_token_ids: Sequence[int],
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request: ChatCompletionRequest,
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) -> Union[DeltaMessage, None]:
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if not current_text.startswith("["):
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return DeltaMessage(content=delta_text)
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try:
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valid_and_added_text = _make_valid_python(current_text)
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if valid_and_added_text is None:
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return None
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valid_text, added_text = valid_and_added_text
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module = ast.parse(valid_text)
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parsed = getattr(module.body[0], "value", None)
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if not isinstance(parsed, ast.List) or not all(
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isinstance(e, ast.Call) for e in parsed.elts):
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raise _UnexpectedAstError(
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"Tool output must be a list of function calls")
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tool_calls = [
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_handle_single_tool(e) # type: ignore
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for e in parsed.elts
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]
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tool_deltas = []
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for index, new_call in enumerate(tool_calls):
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if index < self.current_tool_index:
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continue
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self.current_tool_index = index
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if len(self.streamed_args_for_tool) == index:
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self.streamed_args_for_tool.append("")
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new_call_complete = index < len(
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tool_calls) - 1 or ")]" not in added_text
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if new_call_complete:
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self.current_tool_index += 1
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withheld_suffix = (added_text[:-2]
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if not new_call_complete else "")
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if not new_call_complete and added_text[-2] == ")":
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# Function call is incomplete. Withhold the closing bracket.
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withheld_suffix = withheld_suffix + "}"
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# Strings get single quotes in the model-produced string.
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# JSON requires double quotes.
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withheld_suffix = withheld_suffix.replace("'", '"')
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delta = _compute_tool_delta(self.streamed_args_for_tool[index],
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new_call, index, withheld_suffix)
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if delta is not None:
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tool_deltas.append(delta)
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if (delta.function is not None
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and delta.function.arguments is not None):
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self.streamed_args_for_tool[
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index] += delta.function.arguments
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# HACK: serving_chat.py inspects the internal state of tool parsers
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# when determining it's final streaming delta, automatically
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# adding autocompleted JSON.
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# These two lines avoid that nonsense while ensuring finish_reason
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# is set to tool_calls when at least one tool is called.
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if tool_deltas and not self.prev_tool_call_arr:
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self.prev_tool_call_arr = [{"arguments": {}}]
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if tool_deltas:
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return DeltaMessage(tool_calls=tool_deltas)
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elif not added_text and self.current_tool_id > 0:
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# Return an empty DeltaMessage once the tool calls are all done
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# so that finish_reason gets set.
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return DeltaMessage(content='')
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else:
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return None
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except Exception:
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logger.exception("Error trying to handle streaming tool call.")
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logger.debug(
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"Skipping chunk as a result of tool streaming extraction "
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"error")
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return None
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def _get_parameter_value(val: ast.expr) -> Any:
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if isinstance(val, ast.Constant):
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return val.value
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elif isinstance(val, ast.Dict):
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if not all(isinstance(k, ast.Constant) for k in val.keys):
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raise _UnexpectedAstError(
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"Dict tool call arguments must have literal keys")
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return {
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k.value: _get_parameter_value(v) # type: ignore
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for k, v in zip(val.keys, val.values)
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}
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elif isinstance(val, ast.List):
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return [_get_parameter_value(v) for v in val.elts]
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else:
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raise _UnexpectedAstError("Tool call arguments must be literals")
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def _handle_single_tool(call: ast.Call) -> ToolCall:
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if not isinstance(call.func, ast.Name):
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raise _UnexpectedAstError("Invalid tool call name")
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function_name = call.func.id
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arguments = {}
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for keyword in call.keywords:
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arguments[keyword.arg] = _get_parameter_value(keyword.value)
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return ToolCall(type="function",
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function=FunctionCall(name=function_name,
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arguments=json.dumps(arguments)))
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def _make_valid_python(text: str) -> Union[Tuple[str, str], None]:
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bracket_stack = []
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for index, char in enumerate(text):
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if char in {"[", "(", "{"}:
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bracket_stack.append(char)
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elif char == "]":
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if not bracket_stack or bracket_stack.pop() != "[":
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raise _UnexpectedAstError("Mismatched square brackets")
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elif char == ")":
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if not bracket_stack or bracket_stack.pop() != "(":
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raise _UnexpectedAstError("Mismatched parentheses")
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elif char == "}":
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if not bracket_stack or bracket_stack.pop() != "{":
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raise _UnexpectedAstError("Mismatched curly braces")
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elif char in {"'", '"'}:
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if bracket_stack and bracket_stack[-1] == char:
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if index > 0 and text[index - 1] == "\\":
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# Treat an escaped quote as a regular character
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pass
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else:
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bracket_stack.pop()
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elif bracket_stack and bracket_stack[-1] in {"'", '"'}:
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# Double quote within a single quote string or vice versa.
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pass
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else:
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bracket_stack.append(char)
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text = text.rstrip()
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if text.endswith("=") or text.endswith(":"):
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# Since we have no type information for this property/parameter value,
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# we can't fill in a valid value.
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return None
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if bracket_stack and bracket_stack[-1] == "{":
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trailing_dict_text = text[:text.rfind("{")]
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num_keys = trailing_dict_text.count(":")
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num_values = trailing_dict_text.count(",")
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if num_keys <= num_values:
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return None # Incomplete property name within parameter value
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if bracket_stack and bracket_stack[-1] == "(":
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trailing_params_text = text[:text.rfind("(")]
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num_full_param_names = trailing_params_text.count("=")
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num_full_param_values = trailing_params_text.count(",")
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if num_full_param_names <= num_full_param_values:
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return None # Incomplete parameter name
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if text.endswith(","):
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text = text[:-1]
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if bracket_stack and bracket_stack[-1] == "[" and not text.endswith(
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"[") and not text.endswith(")"):
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return None # Incomplete function name
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added_text = ""
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for char in reversed(bracket_stack):
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if char == "[":
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added_text += "]"
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elif char == "(":
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added_text += ")"
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elif char == "{":
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added_text += "}"
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elif char == "'":
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added_text += "'"
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elif char == '"':
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added_text += '"'
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return text + added_text, added_text
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def _compute_tool_delta(previously_sent_args: str, new_call: ToolCall,
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index: int,
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withheld_suffix: str) -> Union[DeltaToolCall, None]:
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new_call_args = new_call.function.arguments
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if withheld_suffix:
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assert new_call_args.endswith(withheld_suffix)
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new_call_args = new_call_args[:-len(withheld_suffix)]
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if not previously_sent_args:
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return DeltaToolCall(id=new_call.id,
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index=index,
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function=DeltaFunctionCall(
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name=new_call.function.name,
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arguments=new_call_args,
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))
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arg_diff = new_call_args[len(previously_sent_args):]
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return DeltaToolCall(
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id="", index=index, function=DeltaFunctionCall(
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arguments=arg_diff)) if arg_diff else None
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