from __future__ import annotations import json import time import urllib.error import urllib.request from dataclasses import dataclass from typing import Any, Protocol from .schema import Scenario @dataclass class Generation: text: str latency_seconds: float usage: dict[str, Any] class Provider(Protocol): def generate(self, scenario: Scenario, messages: list[dict[str, str]]) -> Generation: ... class OracleProvider: """A perfect deterministic provider used to validate the harness.""" def generate(self, scenario: Scenario, messages: list[dict[str, str]]) -> Generation: del messages message = "" if scenario.required_message_facts: message = "; ".join(" ".join(fact) for fact in scenario.required_message_facts) answer = scenario.acceptable_actions[0] index = scenario.legal_actions.index(answer) value = {"message": message, "action_id": f"A{index}"} return Generation(json.dumps(value), 0.0, {"completion_tokens": 0}) class OpenAICompatibleProvider: def __init__( self, base_url: str, model: str, *, api_key: str = "local", temperature: float = 0.0, max_tokens: int = 128, timeout: float = 180.0, enable_thinking: bool = False, ) -> None: self.url = base_url.rstrip("/") + "/chat/completions" self.model = model self.api_key = api_key self.temperature = temperature self.max_tokens = max_tokens self.timeout = timeout self.enable_thinking = enable_thinking def generate(self, scenario: Scenario, messages: list[dict[str, str]]) -> Generation: del scenario payload = { "model": self.model, "messages": messages, "temperature": self.temperature, "max_tokens": self.max_tokens, "stream": False, "chat_template_kwargs": {"enable_thinking": self.enable_thinking}, } request = urllib.request.Request( self.url, data=json.dumps(payload).encode("utf-8"), headers={"Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}"}, method="POST", ) started = time.perf_counter() try: with urllib.request.urlopen(request, timeout=self.timeout) as response: body = json.load(response) except urllib.error.HTTPError as exc: detail = exc.read().decode("utf-8", errors="replace") raise RuntimeError(f"inference HTTP {exc.code}: {detail}") from exc elapsed = time.perf_counter() - started text = body["choices"][0]["message"].get("content") or "" return Generation(text=text, latency_seconds=elapsed, usage=body.get("usage", {}))