1db2452272
Collapse the four Gemini chat/completions wrapper classes into SimpleNamespace shims, finish-reason/tool-choice/HTTP-error mappings become dicts, shared _usage_from_metadata/_assistant_message between sync and streaming translation, vertex credential loading split into _load_credentials/_needs_refresh. Gemini request/response/schema output byte-identical against merge-base.
87 lines
3.6 KiB
Python
87 lines
3.6 KiB
Python
"""Helpers for translating OpenAI-style tool schemas to Gemini's schema subset."""
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from __future__ import annotations
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import math
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from typing import Any, Dict
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# Gemini's ``FunctionDeclaration.parameters`` accepts the ``Schema`` object,
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# only a subset of OpenAPI 3.0 / JSON Schema; everything else is stripped.
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_GEMINI_SCHEMA_ALLOWED_KEYS = {
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"type", "format", "title", "description", "nullable", "enum",
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"maxItems", "minItems", "properties", "required", "minProperties",
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"maxProperties", "minLength", "maxLength", "pattern", "example",
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"anyOf", "propertyOrdering", "default", "items", "minimum", "maximum",
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}
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def _stringify_enum_value(item: Any) -> Any:
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"""Gemini-safe string for a scalar enum entry, or None to drop it."""
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if isinstance(item, str):
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return item
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if isinstance(item, bool):
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return "true" if item else "false"
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if isinstance(item, (int, float)) and math.isfinite(item):
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return str(item)
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return None
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def sanitize_gemini_schema(schema: Any) -> Dict[str, Any]:
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"""Return a Gemini-compatible copy of a tool parameter schema.
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Keeps only the documented Gemini subset (drops e.g. ``$schema`` /
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``additionalProperties``) and recursively sanitizes nested
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``properties`` / ``items`` / ``anyOf`` definitions.
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"""
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if not isinstance(schema, dict):
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return {}
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cleaned: Dict[str, Any] = {}
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for key, value in schema.items():
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if key not in _GEMINI_SCHEMA_ALLOWED_KEYS:
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continue
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if key == "properties":
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if isinstance(value, dict):
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cleaned[key] = {name: sanitize_gemini_schema(sub) for name, sub in value.items() if isinstance(name, str)}
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elif key == "items":
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cleaned[key] = sanitize_gemini_schema(value)
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elif key == "anyOf":
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if isinstance(value, list):
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cleaned[key] = [sanitize_gemini_schema(item) for item in value if isinstance(item, dict)]
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else:
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cleaned[key] = value
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# Gemini requires every ``enum`` entry to be a string even for
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# integer/number/boolean types; the declared type stays intact and Gemini
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# still emits typed tool arguments at runtime.
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enum_val = cleaned.get("enum")
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if isinstance(enum_val, list) and cleaned.get("type") in {"integer", "number", "boolean"}:
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# dict.fromkeys = order-preserving dedupe.
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stringified = list(dict.fromkeys(v for v in map(_stringify_enum_value, enum_val) if v is not None))
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if stringified:
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cleaned["enum"] = stringified
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else:
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cleaned.pop("enum", None)
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# Gemini validates ``required`` strictly against the same node's
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# ``properties`` (HTTP 400 "property is not defined"), and one bad tool
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# schema fails the ENTIRE request. MCP servers routinely emit ``required``
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# without ``properties``, so keep only names that exist here; the tool
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# handler still validates required fields at execution time.
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required_val = cleaned.get("required")
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if isinstance(required_val, list):
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props_val = cleaned.get("properties")
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prop_names = set(props_val.keys()) if isinstance(props_val, dict) else set()
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valid_required = [name for name in required_val if isinstance(name, str) and name in prop_names]
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if not valid_required:
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cleaned.pop("required", None)
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elif len(valid_required) != len(required_val):
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cleaned["required"] = valid_required
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return cleaned
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def sanitize_gemini_tool_parameters(parameters: Any) -> Dict[str, Any]:
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"""Normalize tool parameters to a valid Gemini object schema."""
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return sanitize_gemini_schema(parameters) or {"type": "object", "properties": {}}
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