orchestrata_ultimate.verification.models.grok4_minimax

Reference › orchestrata_ultimate › verification › models › grok4_minimax

GrokMiniMaxModel wraps Grok4 MiniMax, described as fast, iterative and resource-efficient (Spec 035 US-005). It implements the LLMModel protocol from base_model under the name grok4-minimax, with a base URL defaulting to the xAI API host, and declares only fast iteration as a capability. As written, its methods return fixed dictionaries and make no network request; generate_proof returns the proof type exhaustive_search. No module imports it inside the package.

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Classes

GrokMiniMaxModel

Decorators: traces(spec='035', story='US-005', reqs=['REQ-035-US-005-004', 'REQ-035-US-005-014', 'REQ-035-US-005-021']) · Line 18

Grok4 MiniMax — fast iterative verification, resource-efficient.

Source

Permalink: https://gitlab.com/MSamy/orchestrata-ultimate-architecture/-/blob/a4cbc2bdf/src/orchestrata_ultimate/verification/models/grok4_minimax.py

"""Grok4 MiniMax model wrapper for verification."""

# Spec: 035 - Verification Agent

import logging
from typing import Any

from orchestrata_ultimate.core.base.traces import traces

logger = logging.getLogger(__name__)


@traces(
    spec="035",
    story="US-005",
    reqs=["REQ-035-US-005-004", "REQ-035-US-005-014", "REQ-035-US-005-021"],
)
class GrokMiniMaxModel:
    """Grok4 MiniMax — fast iterative verification, resource-efficient."""

    def __init__(self, api_key: str = "", base_url: str = "https://api.x.ai") -> None:
        self._api_key = api_key
        self._base_url = base_url

    @property
    @traces(
        spec="035", story="US-005", reqs=["REQ-035-US-005-004", "REQ-035-US-005-014"]
    )
    def name(self) -> str:
        return "grok4-minimax"

    @property
    @traces(
        spec="035", story="US-005", reqs=["REQ-035-US-005-004", "REQ-035-US-005-014"]
    )
    def capabilities(self) -> dict[str, bool]:
        return {
            "reasoning": False,
            "formal_verification": False,
            "multilingual": False,
            "fast_iteration": True,
        }

    @traces(spec="035", story="US-005", reqs=["REQ-035-US-005-021"])
    async def verify(
        self, constraint: dict[str, Any], context: dict[str, Any]
    ) -> dict[str, Any]:
        return {
            "model": self.name,
            "status": "verified",
            "constraint_id": constraint.get("id", ""),
        }

    @traces(
        spec="035", story="US-005", reqs=["REQ-035-US-005-004", "REQ-035-US-005-014"]
    )
    async def analyze(self, results: list[dict[str, Any]]) -> dict[str, Any]:
        satisfied = sum(1 for r in results if r.get("status") == "satisfied")
        return {"model": self.name, "total": len(results), "satisfied": satisfied}

    @traces(
        spec="035", story="US-005", reqs=["REQ-035-US-005-004", "REQ-035-US-005-014"]
    )
    async def generate_proof(
        self, constraint: dict[str, Any], context: dict[str, Any]
    ) -> dict[str, Any]:
        return {
            "model": self.name,
            "proof_type": "exhaustive_search",
            "constraint_id": constraint.get("id", ""),
        }