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chore: import upstream snapshot with attribution
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Python

"""Llama 3.1 / 3.2 / 3.3 JSON tool-call parser.
Meta's Llama 3.1+ instruct chat templates emit tool calls in two broadly
compatible shapes:
1. With the `<|python_tag|>` lead-in:
<|python_tag|>{"name": "get_weather", "parameters": {"city": "Paris"}}
2. As a bare JSON object (or list of objects) at the end of the turn.
We also handle multi-call shapes where the model emits several JSON objects
separated by `;` or newlines, and JSON arrays `[{...}, {...}]`. The key field
for Llama 3 is historically `parameters` (older docs) but recent checkpoints
also emit `arguments` — accept either.
"""
from __future__ import annotations
import json
import re
from dataclasses import dataclass
from .base import ToolCall, ToolParser, register
_PYTHON_TAG = "<|python_tag|>"
_JSON_OBJECT_RE = re.compile(r"\{[^{}]*(?:\{[^{}]*\}[^{}]*)*\}", re.DOTALL)
def _coerce_call(obj: object, index: int) -> ToolCall | None:
if not isinstance(obj, dict):
return None
name = obj.get("name")
if not isinstance(name, str):
return None
args = obj.get("arguments", obj.get("parameters", {}))
args_str = args if isinstance(args, str) else json.dumps(args, ensure_ascii=False)
return ToolCall(index=index, name=name, arguments=args_str)
@register
class Llama3JsonToolParser(ToolParser):
name = "llama3_json"
def parse(self, text: str) -> tuple[str, list[ToolCall]]:
calls: list[ToolCall] = []
# Strip <|python_tag|> segments first — each segment is one tool call
# body. The content after the final python_tag (if any) is the call.
remaining = text
if _PYTHON_TAG in text:
head, *tails = text.split(_PYTHON_TAG)
remaining = head
for tail in tails:
parsed = _try_parse(tail.strip(), len(calls))
calls.extend(parsed)
# Any JSON objects / arrays left in `remaining` count as tool calls too
# if they parse to a {"name": ..., "arguments": ...} shape.
for match in _JSON_OBJECT_RE.finditer(remaining):
parsed = _try_parse(match.group(0), len(calls))
if parsed:
calls.extend(parsed)
remaining = remaining.replace(match.group(0), "", 1)
content = remaining.strip()
return content, calls
def _try_parse(blob: str, start_index: int) -> list[ToolCall]:
"""Parse a fragment that may be a JSON object or a JSON array of objects."""
blob = blob.strip().rstrip(";")
if not blob:
return []
try:
obj = json.loads(blob)
except json.JSONDecodeError:
return []
if isinstance(obj, dict):
call = _coerce_call(obj, start_index)
return [call] if call else []
if isinstance(obj, list):
calls: list[ToolCall] = []
for i, item in enumerate(obj):
c = _coerce_call(item, start_index + i)
if c:
calls.append(c)
return calls
return []