Datasets:
File size: 5,323 Bytes
2b42456 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 | """Core data types for ToolUse.1.
Errors are values: parsers return `Result` objects instead of raising, so the
harness can report *why* a model failed rather than crashing mid-run.
"""
from __future__ import annotations
import json
from dataclasses import dataclass, field
from typing import Any, Literal, Mapping, Sequence
Role = Literal["system", "user", "assistant", "tool"]
Lang = Literal["en", "ru"]
Protocol = Literal["json", "xml", "plain"]
PROTOCOLS: tuple[Protocol, ...] = ("json", "xml", "plain")
@dataclass(frozen=True)
class Message:
role: Role
content: str
tool_name: str | None = None
tool_args: Mapping[str, Any] | None = None
def to_dict(self) -> dict[str, Any]:
out: dict[str, Any] = {"role": self.role, "content": self.content}
if self.tool_name is not None:
out["tool_name"] = self.tool_name
if self.tool_args is not None:
out["tool_args"] = dict(self.tool_args)
return out
@staticmethod
def from_dict(raw: Mapping[str, Any]) -> "Message":
return Message(
role=raw["role"],
content=raw.get("content", ""),
tool_name=raw.get("tool_name"),
tool_args=raw.get("tool_args"),
)
@dataclass(frozen=True)
class ExpectCall:
kind: Literal["call"] = "call"
name: str = ""
args: Mapping[str, Any] = field(default_factory=dict)
@dataclass(frozen=True)
class ExpectNoCall:
kind: Literal["no_call"] = "no_call"
answer_contains_any: Sequence[Sequence[str]] = ()
answer_contains_all: Sequence[str] = ()
Expectation = ExpectCall | ExpectNoCall
@dataclass(frozen=True)
class Case:
id: str
lang: Lang
category: str
difficulty: str
tools: tuple[str, ...]
user: str
expect: Expectation
history: tuple[Message, ...] = ()
notes: str = ""
def messages(self) -> tuple[Message, ...]:
return self.history + (Message(role="user", content=self.user),)
def to_dict(self) -> dict[str, Any]:
raw: dict[str, Any] = {
"id": self.id,
"lang": self.lang,
"category": self.category,
"difficulty": self.difficulty,
"tools": list(self.tools),
"user": self.user,
"expect": _expect_to_dict(self.expect),
}
if self.history:
raw["history"] = [m.to_dict() for m in self.history]
if self.notes:
raw["notes"] = self.notes
return raw
def to_json(self) -> str:
return json.dumps(self.to_dict(), ensure_ascii=False, sort_keys=True)
@staticmethod
def from_dict(raw: Mapping[str, Any]) -> "Case":
return Case(
id=raw["id"],
lang=raw["lang"],
category=raw["category"],
difficulty=raw["difficulty"],
tools=tuple(raw["tools"]),
user=raw["user"],
expect=_expect_from_dict(raw["expect"]),
history=tuple(Message.from_dict(m) for m in raw.get("history", ())),
notes=raw.get("notes", ""),
)
def _expect_to_dict(expect: Expectation) -> dict[str, Any]:
if expect.kind == "call":
return {"kind": "call", "name": expect.name, "args": dict(expect.args)}
out: dict[str, Any] = {"kind": "no_call"}
if expect.answer_contains_any:
out["answer_contains_any"] = [list(group) for group in expect.answer_contains_any]
if expect.answer_contains_all:
out["answer_contains_all"] = list(expect.answer_contains_all)
return out
def _expect_from_dict(raw: Mapping[str, Any]) -> Expectation:
if raw["kind"] == "call":
return ExpectCall(name=raw["name"], args=raw.get("args", {}))
return ExpectNoCall(
answer_contains_any=tuple(tuple(g) for g in raw.get("answer_contains_any", ())),
answer_contains_all=tuple(raw.get("answer_contains_all", ())),
)
@dataclass(frozen=True)
class ToolCall:
name: str
args: Mapping[str, Any]
def canonical(self) -> str:
return json.dumps({"name": self.name, "args": dict(self.args)}, ensure_ascii=False, sort_keys=True)
@dataclass(frozen=True)
class ParseResult:
calls: tuple[ToolCall, ...]
source: str
malformed: bool = False
detail: str = ""
@property
def call(self) -> ToolCall | None:
return self.calls[0] if self.calls else None
@dataclass(frozen=True)
class CaseResult:
case_id: str
protocol: Protocol
lang: Lang
category: str
difficulty: str
passed: bool
called: bool
expected_call: bool
name_correct: bool
args_exact: bool
answer_ok: bool | None
malformed: bool
output: str
detail: str = ""
def to_dict(self) -> dict[str, Any]:
return {
"case_id": self.case_id,
"protocol": self.protocol,
"lang": self.lang,
"category": self.category,
"difficulty": self.difficulty,
"passed": self.passed,
"called": self.called,
"expected_call": self.expected_call,
"name_correct": self.name_correct,
"args_exact": self.args_exact,
"answer_ok": self.answer_ok,
"malformed": self.malformed,
"output": self.output,
"detail": self.detail,
}
|