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RaresKeY
b9cafd67a1
* feat(models): define capability schema and readers * fix(models): harden Google catalog probing Restrict native catalog probing to the Gemini host, keep provider keys out of request URLs, filter non-chat model resources, and preserve the manual refresh default in the built-in Google add flow.
66 lines
1.8 KiB
Python
66 lines
1.8 KiB
Python
"""OpenAI Models API capability reader.
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OpenAI's `/v1/models` list/retrieve shape currently provides model identity
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metadata only: `id`, `object`, `created`, and `owned_by`. Those fields prove
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availability, not model capabilities, so this reader keeps capabilities
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unknown unless OpenAI adds explicit capability fields to the API shape later.
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"""
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from __future__ import annotations
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from collections.abc import Mapping
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from typing import Any
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from src import model_capabilities as mc
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from src.model_capability_readers.base import (
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ModelCapabilityRecord,
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VENDOR_OPENAI,
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compact_str,
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model_id_from,
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openai_model_items,
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stable_model_id_for,
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)
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vendor = VENDOR_OPENAI
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OFFICIAL_MODEL_FIELDS = frozenset({"id", "object", "created", "owned_by"})
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def record_from_model(
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raw: Mapping[str, Any],
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*,
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endpoint_id: Any = "",
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base_url: Any = "",
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) -> ModelCapabilityRecord | None:
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model_id = model_id_from(raw, "id")
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if not model_id:
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return None
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return ModelCapabilityRecord(
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vendor=VENDOR_OPENAI,
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model_id=model_id,
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stable_model_id=stable_model_id_for(VENDOR_OPENAI, model_id, endpoint_id=endpoint_id, base_url=base_url),
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display_name=compact_str(raw.get("name") or raw.get("display_name")),
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capability=mc.unknown_capability(
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source=mc.SOURCE_PROVIDER_READER,
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confidence=mc.CONFIDENCE_UNKNOWN,
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),
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raw=raw,
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)
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def records_from_payload(
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payload: Mapping[str, Any],
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*,
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endpoint_id: Any = "",
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base_url: Any = "",
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) -> tuple[ModelCapabilityRecord, ...]:
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records: list[ModelCapabilityRecord] = []
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for item in openai_model_items(payload):
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record = record_from_model(item, endpoint_id=endpoint_id, base_url=base_url)
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if record:
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records.append(record)
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return tuple(records)
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