easydel.inference.tools.parsers.pythonic_tool_parser

easydel.inference.tools.parsers.pythonic_tool_parser#

class easydel.inference.tools.parsers.pythonic_tool_parser.PythonicToolParser(tokenizer: PreTrainedTokenizerBase)[source]#

Bases: ToolParser

Tool call parser for models using Python-style function call syntax.

Designed for models like Llama 3.2 and Llama 4 that generate tool calls as Python function invocations within list literals, e.g.: [function1(param1=”value1”, param2=”value2”), function2(…)]

Features: - Parses Python AST to extract function calls - Supports nested data structures in arguments - Handles streaming with bracket/quote tracking - Validates Python syntax during extraction - Supports multiple tool calls in single list

Used when –enable-auto-tool-choice –tool-call-parser pythonic are set.

Note

Tool arguments must be valid Python literals (strings, numbers, lists, dicts). Complex Python expressions are not supported.

TOOL_CALL_REGEX = re.compile('\\[([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*)+\\]', re.DOTALL)#
property current_tool_index: int#
extract_tool_calls(model_output: str, request: ChatCompletionRequest) → ExtractedToolCallInformation[source]#

Extract the tool calls from a complete model response.

extract_tool_calls_streaming(previous_text: str, current_text: str, delta_text: str, previous_token_ids: Sequence[int], current_token_ids: Sequence[int], delta_token_ids: Sequence[int], request: ChatCompletionRequest) → easydel.inference.openai_api_modules.DeltaMessage | None[source]#

Extract tool calls from streaming model output.

Processes incremental model output to identify partial tool calls and emit appropriate streaming updates. Maintains state across calls to handle incomplete JSON/XML structures.

Parameters

  • previous_text – Text accumulated up to previous call

  • current_text – Text accumulated including current chunk

  • delta_text – New text in current chunk

  • previous_token_ids – Token IDs up to previous call

  • current_token_ids – Token IDs including current chunk

  • delta_token_ids – New token IDs in current chunk

  • request – Original request with tool definitions

Returns

Incremental tool call update, or None if no update

Return type

DeltaMessage

Raises

NotImplementedError – Must be implemented by subclasses

Note

This method is stateful - it uses instance variables to track parsing progress across streaming chunks.

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