verifiable-labs 0.1.0a5

Python SDK + CLI for Verifiable Labs — evaluate frontier LLMs on conformal-calibrated scientific RL environments.

verifiable-labs

Python SDK for the Verifiable Labs Hosted Evaluation API — evaluate frontier LLMs on conformal-calibrated scientific RL environments without writing any HTTP plumbing.

v0.1.0a1 — alpha. The Hosted Evaluation API itself is v0.1.0-alpha (open / rate-limited / no auth / single-process session store). This SDK is a thin httpx wrapper that mirrors the 8-endpoint API surface; it'll keep working when we add auth + persistence in v0.2.

Install

pip install verifiable-labs

Python >=3.11 required.

Quickstart

Synchronous

from verifiable_labs import Client

with Client() as client:                                # localhost:8000 by default
    print(client.health().version)                      # "0.1.0-alpha"

    env = client.env("stelioszach/sparse-fourier-recovery")
    result = env.evaluate(
        seed=0,
        answer='{"support_idx": [12, 47, 91], "support_amp_x1000": [800, -300, 1200]}',
        env_kwargs={"calibration_quantile": 2.0},
    )
    print(f"reward={result.reward:.3f}  parse_ok={result.parse_ok}")

Asynchronous

import asyncio
from verifiable_labs import AsyncClient

async def main():
    async with AsyncClient(base_url="https://api.verifiable-labs.com") as client:
        env = client.env("sparse-fourier-recovery")
        # Multi-turn flow: keep submitting until session.complete is True
        session = await env.start_session(seed=42)
        while not session.complete:
            answer = my_agent.solve(session.observation)         # your code
            await session.submit(answer_text=answer)
        print("turns:", len(session.history))

asyncio.run(main())

Leaderboard

lb = client.leaderboard("sparse-fourier-recovery")
for row in lb.top_models(n=3):
    print(f"{row.model:35s}  mean={row.mean_reward:.3f}  n={row.n}")

Public surface

name	sync / async	purpose
Client(api_key=None, base_url=...)	sync	top-level client
AsyncClient(api_key=None, base_url=...)	async	top-level client
client.health()	both	liveness + version
client.environments()	both	list all 10 envs
client.env(env_id)	both	returns Environment handle
client.leaderboard(env_id)	both	aggregated benchmark numbers
env.evaluate(seed, answer)	both	one-shot eval, returns SubmitResponse
env.start_session(seed)	both	returns multi-turn Session
session.submit(answer_text=...)	both	append a turn, returns score
session.history	sync (property)	list of past SubmitResponses
session.complete	sync (property)	bool — env signalled done
session.refresh()	both	re-fetch state from the server

Exceptions

The SDK raises typed exceptions on non-2xx HTTP status codes; callers can except on the specific failure mode.

from verifiable_labs import (
    VerifiableLabsError,        # base class
    TransportError,             # network / timeout
    InvalidRequestError,        # 400 / 422
    NotFoundError,              # 404
    RateLimitError,             # 429
    ServerError,                # 5xx
)

Configuration

Client(
    api_key=None,               # forward-compat for v0.2; no effect in v0.1
    base_url="http://localhost:8000",
    timeout=30.0,               # httpx total-timeout in seconds
    http_client=None,           # inject your own httpx.Client for custom transport
)

AsyncClient takes the same args + accepts an httpx.AsyncClient.

What's NOT in v0.1

Same caveats as the Hosted Evaluation API:

• No authentication. api_key= is accepted for forward-compat but unused.
• Multi-turn sessions don't yet route turns through the env's residual-feedback rollout (server records turns but doesn't dispatch). The SDK exposes the full Session API anyway so the shape is stable for v0.2.
• Structured answer dicts return HTTP 422; pass strings.
• No persistence — session store is in-memory on the API side.

License

Apache-2.0. See LICENSE.