easydel.inference.tools.parsers.llama4_pythonic_tool_parser#
- class easydel.inference.tools.parsers.llama4_pythonic_tool_parser.Llama4PythonicToolParser(tokenizer: PreTrainedTokenizerBase)[source]#
Bases:
ToolParserTool call parser for Llama 4 models with Pythonic syntax.
Specialized version of the pythonic parser for Llama 4 models that generate tool calls as Python function invocations. Supports optional <|python_start|> and <|python_end|> delimiters.
Features: - Python AST-based parsing - Optional delimiter token support - Streaming with bracket completion - Regex timeout handling for complex patterns - Support for nested data structures
Format: <|python_start|>[func1(arg1=”val1”), func2(arg2=”val2”)]<|python_end|> or simply: [func1(arg1=”val1”), func2(arg2=”val2”)]
Use –enable-auto-tool-choice –tool-call-parser llama4_pythonic
- 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
- Raises
NotImplementedError – Must be implemented by subclasses
Note
This method is stateful - it uses instance variables to track parsing progress across streaming chunks.