orchestrata_ultimate.verification.models.opus

Reference › orchestrata_ultimate › verification › models › opus

ClaudeOpusModel is the Claude Opus 4 wrapper, described as suited to complex reasoning and nuanced edge cases (Spec 035 US-005). It implements the LLMModel protocol from base_model under the name claude-opus-4, with a base URL defaulting to the Anthropic API host, and declares capabilities of reasoning and formal verification but not multilingual or fast iteration. As written, its three methods return fixed dictionaries and make no network request: verify returns status "verified" with the constraint id, analyze counts results whose status is "satisfied", and generate_proof returns the proof type logical_deduction. No module imports it inside the package.

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ClaudeOpusModel

Decorators: traces(spec='035', story='US-005', reqs=['REQ-035-US-005-001', 'REQ-035-US-005-011', 'REQ-035-US-005-021']) · Line 18

Claude Opus 4 wrapper — complex reasoning, nuanced edge cases.

Source

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

"""Claude Opus 4 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-005-001", "REQ-035-US-005-011", "REQ-035-US-005-021"],
)
class ClaudeOpusModel:
    """Claude Opus 4 wrapper — complex reasoning, nuanced edge cases."""

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

    @property
    @traces(
        spec="035", story="US-005", reqs=["REQ-035-US-005-001", "REQ-035-US-005-011"]
    )
    def name(self) -> str:
        return "claude-opus-4"

    @property
    @traces(
        spec="035", story="US-005", reqs=["REQ-035-US-005-001", "REQ-035-US-005-011"]
    )
    def capabilities(self) -> dict[str, bool]:
        return {
            "reasoning": True,
            "formal_verification": True,
            "multilingual": False,
            "fast_iteration": False,
        }

    @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-005-001", "REQ-035-US-005-011"]
    )
    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-005-001", "REQ-035-US-005-011"]
    )
    async def generate_proof(
        self, constraint: dict[str, Any], context: dict[str, Any]
    ) -> dict[str, Any]:
        return {
            "model": self.name,
            "proof_type": "logical_deduction",
            "constraint_id": constraint.get("id", ""),
        }