Spaces:
Running on Zero
Running on Zero
File size: 8,385 Bytes
73b4c3f e0bff0f 73b4c3f 9d8fa02 73b4c3f e0bff0f 73b4c3f e0bff0f 73b4c3f 9d8fa02 73b4c3f | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 | from __future__ import annotations
from dataclasses import dataclass
import json
from typing import Any, Literal
from xml.etree import ElementTree
JsonType = Literal["string", "integer", "number", "boolean", "array", "object"]
@dataclass(frozen=True)
class ToolField:
type: JsonType
description: str
required: bool = False
enum: tuple[str, ...] = ()
items_type: JsonType | None = None
def to_schema(self) -> dict[str, Any]:
schema: dict[str, Any] = {
"type": self.type,
"description": self.description,
}
if self.enum:
schema["enum"] = list(self.enum)
if self.items_type:
schema["items"] = {"type": self.items_type}
return schema
@dataclass(frozen=True)
class ToolSpec:
name: str
description: str
fields: dict[str, ToolField]
def to_schema(self) -> dict[str, Any]:
return {
"type": "function",
"function": {
"name": self.name,
"description": self.description,
"parameters": {
"type": "object",
"additionalProperties": False,
"properties": {
name: field.to_schema() for name, field in self.fields.items()
},
"required": [name for name, field in self.fields.items() if field.required],
},
},
}
@dataclass(frozen=True)
class ToolCall:
name: str
arguments: dict[str, Any]
def to_dict(self) -> dict[str, Any]:
return {"name": self.name, "arguments": self.arguments}
@dataclass(frozen=True)
class ToolResolution:
status: Literal["valid", "defaulted"]
call: ToolCall
errors: tuple[str, ...]
def to_dict(self) -> dict[str, Any]:
return {
"status": self.status,
"call": self.call.to_dict(),
"errors": list(self.errors),
}
class ToolContractError(ValueError):
pass
TOOL_SPECS: dict[str, ToolSpec] = {
"list_projects": ToolSpec(
name="list_projects",
description="Read prominent project cards from the offline snapshot.",
fields={
"track": ToolField("string", "Optional model, goal, or topic filter."),
"sort": ToolField("string", "Sort key.", enum=("likes", "recent", "title")),
},
),
"search_projects": ToolSpec(
name="search_projects",
description="Find existing Spaces that echo the user's project idea.",
fields={"query": ToolField("string", "The user idea or topic to search.", required=True)},
),
"get_project": ToolSpec(
name="get_project",
description="Read one project card by full Space id or slug.",
fields={"id": ToolField("string", "Project id or slug, such as org-name/space-name.", required=True)},
),
"find_whitespace": ToolSpec(
name="find_whitespace",
description="Return under-explored project regions from the offline index.",
fields={},
),
"save_idea": ToolSpec(
name="save_idea",
description="Write or update the current idea page.",
fields={
"title": ToolField("string", "Short idea title.", required=True),
"pitch": ToolField("string", "One-sentence idea pitch.", required=True),
},
),
"score_idea": ToolSpec(
name="score_idea",
description="Score the current idea against the fixed originality and build-fit rubric.",
fields={"id": ToolField("string", "Idea id; omit to score the current idea.")},
),
"compare_ideas": ToolSpec(
name="compare_ideas",
description="Rank the current idea board and explain tradeoffs.",
fields={},
),
"make_plan": ToolSpec(
name="make_plan",
description="Draft the next build steps for the current idea.",
fields={"id": ToolField("string", "Idea id; omit to plan the current idea.")},
),
"update_profile": ToolSpec(
name="update_profile",
description="Remember a user skill, constraint, preference, or available time.",
fields={
"field": ToolField(
"string",
"Profile field to update.",
required=True,
enum=("skills", "time", "preferences", "constraints"),
),
"value": ToolField("string", "Profile value to remember.", required=True),
},
),
"set_goals": ToolSpec(
name="set_goals",
description="Change the selected goals used to bias ideation and planning.",
fields={"goals": ToolField("array", "Goal ids to prioritize.", required=True, items_type="string")},
),
}
def tool_schemas() -> list[dict[str, Any]]:
return [spec.to_schema() for spec in TOOL_SPECS.values()]
def parse_xml_tool_call(text: str) -> ToolCall:
wrapped = f"<root>{text.strip()}</root>"
try:
root = ElementTree.fromstring(wrapped)
except ElementTree.ParseError as error:
raise ToolContractError(f"invalid XML tool call: {error}") from error
functions = [node for node in root if node.tag == "function"]
if len(functions) != 1:
raise ToolContractError(f"expected exactly one function call, got {len(functions)}")
node = functions[0]
name = str(node.attrib.get("name") or "").strip()
if not name:
raise ToolContractError("function call is missing a name")
raw_arguments = (node.text or "").strip() or "{}"
try:
arguments = json.loads(raw_arguments)
except json.JSONDecodeError as error:
raise ToolContractError(f"function arguments are not valid JSON: {error.msg}") from error
if not isinstance(arguments, dict):
raise ToolContractError("function arguments must be a JSON object")
return ToolCall(name=name, arguments=arguments)
def validate_tool_call(call: ToolCall, specs: dict[str, ToolSpec] = TOOL_SPECS) -> ToolCall:
spec = specs.get(call.name)
if spec is None:
raise ToolContractError(f"unknown tool: {call.name}")
allowed = set(spec.fields)
extra = sorted(set(call.arguments) - allowed)
if extra:
raise ToolContractError(f"unexpected arguments for {call.name}: {', '.join(extra)}")
missing = sorted(name for name, field in spec.fields.items() if field.required and name not in call.arguments)
if missing:
raise ToolContractError(f"missing required arguments for {call.name}: {', '.join(missing)}")
for name, value in call.arguments.items():
field = spec.fields[name]
_validate_value(call.name, name, value, field)
return call
def resolve_tool_call(model_output: str, fallback_query: str = "") -> ToolResolution:
errors: list[str] = []
try:
call = validate_tool_call(parse_xml_tool_call(model_output))
return ToolResolution(status="valid", call=call, errors=())
except ToolContractError as error:
errors.append(str(error))
query = fallback_query.strip()
if query:
call = ToolCall("search_projects", {"query": query})
else:
call = ToolCall("find_whitespace", {})
return ToolResolution(status="defaulted", call=call, errors=tuple(errors))
def _validate_value(tool_name: str, field_name: str, value: Any, field: ToolField) -> None:
if field.type == "string":
valid = isinstance(value, str)
elif field.type == "integer":
valid = isinstance(value, int) and not isinstance(value, bool)
elif field.type == "number":
valid = (isinstance(value, int | float)) and not isinstance(value, bool)
elif field.type == "boolean":
valid = isinstance(value, bool)
elif field.type == "array":
valid = isinstance(value, list)
elif field.type == "object":
valid = isinstance(value, dict)
else:
valid = False
if not valid:
raise ToolContractError(f"{tool_name}.{field_name} must be {field.type}")
if field.enum and value not in field.enum:
raise ToolContractError(f"{tool_name}.{field_name} must be one of: {', '.join(field.enum)}")
if field.items_type and isinstance(value, list):
for index, item in enumerate(value):
_validate_value(tool_name, f"{field_name}[{index}]", item, ToolField(field.items_type, "array item"))
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