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Institutional-grade Python SDK for the Viper Execution trading API on Hyperliquid.

Project description

Viper Execution Python SDK

Institutional-grade Python client for the Viper Execution trading API on Hyperliquid.

Status: SDK 0.1.7 (beta). Ships the resilient WebSocket client and the resync REST-fetch mapping. The full typed REST client lands in a subsequent release. The SDK version is independent of the API version — this is SDK 0.x against API v1.

Install

pip install viper-execution

Requires Python ≥ 3.10.

Quickstart

import os
import asyncio
from viper import ViperWSClient

async def main():
    # from_env() reads VIPER_API_KEY / VIPER_API_SECRET / VIPER_HANDLE /
    # VIPER_WALLET. Pass anything explicitly to override the environment.
    wallet = os.environ["VIPER_WALLET"].lower()
    client = ViperWSClient.from_env(
        on_event=lambda f: print(f["channel"], f.get("event")),
    )
    await client.start()
    await client.subscribe("account.state", wallet)
    await asyncio.sleep(30)
    await client.close()

asyncio.run(main())

Using credentials

ViperWSClient takes credentials two ways, both first-class — pick whichever fits how your process gets its secrets.

From the environment (quickest, and production-correct). from_env() reads VIPER_API_KEY, VIPER_API_SECRET, VIPER_HANDLE, and VIPER_WALLET. This is also the right pattern for deployment: containers, CI, and secret managers all inject secrets as env vars, so the same code runs unchanged from laptop to production. Anything passed explicitly overrides the environment:

client = ViperWSClient.from_env(handle="override-handle")

Explicitly (your own secret store). If your keys live in Vault, AWS Secrets Manager, an HSM, or a config file, fetch them in your code and pass them to the constructor directly — from_env() is never required:

api_key_id, api_secret = my_secret_store.get("viper")  # however you fetch them
client = ViperWSClient(
    api_key_id=api_key_id,
    api_secret=api_secret,
    handle="your-handle",
    wallet="0x...",
    on_event=lambda f: print(f["channel"], f.get("event")),
)

Runnable examples

Examples ship inside the package — no extra downloads. List the catalog and run one by name or number:

viper-examples                          # list the catalog
viper-examples stream-account-state     # run by name
viper-examples 01                       # ...or by number

Set the env vars the examples read — bash/zsh:

export VIPER_API_KEY=vk_...
export VIPER_API_SECRET=vs_...
export VIPER_HANDLE=your-handle     # optional
export VIPER_WALLET=0x...           # the wallet to stream

…or PowerShell:

$env:VIPER_API_KEY = "vk_..."
$env:VIPER_API_SECRET = "vs_..."
$env:VIPER_HANDLE = "your-handle"   # optional
$env:VIPER_WALLET = "0x..."         # the wallet to stream

Live algo examples

Two examples fire a real algo over the WebSocket command surface:

viper-examples start-glidemaker     # passive limit
viper-examples start-pacemaker      # TWAP

These place real orders on mainnet (there is no testnet). Each one reads the live BTC mark from /v1/instruments, sizes the order to a USD notional, prints exactly what it is about to do with a short Ctrl-C abort window, fires once, streams the execution's frames (fills, slices, status), then cancels. Optional knobs:

export VIPER_EXAMPLE_USD=250         # target notional (default 250)
export VIPER_EXAMPLE_OBSERVE_S=10    # seconds to observe before cancel (default 10)
export VIPER_EXAMPLE_NO_CANCEL=1     # leave the execution running instead of cancelling

The source for each example lives in src/viper/examples/.

What the WebSocket client handles for you

The /v1/ws stream has a number of behaviors a naive client gets wrong. ViperWSClient handles them as a built-in contract:

  • Liveness — transport ping/pong plus a data-staleness watchdog; silent half-open connections are detected and reconnected.
  • Reconnect with resume — on drop, it reconnects with exponential backoff and resubscribes every scope carrying its last_seq cursor, so you resume exactly where you left off (replay from the per-scope ring buffer).
  • Resync recovery — when the server can't satisfy a cursor (buffer_overflow / last_seq_ahead_of_server / scope_not_found), it REST-fetches authoritative current state and resubscribes fresh.
  • Multi-wallet attribution — every data frame is routed by data.wallet, so one socket can carry many wallets without cross-attribution. (Control markers such as hydrated carry no data.wallet; route those by scope_id.)
  • Slow hydration — account.state hydration is server-slow (~5s; it gathers balance + HIP-3 collateral across all dexes, then bursts frames). The client does not mistake that for a dead stream, and neither should your application logic.
  • Terminal conditions — credential revocation (close 4013), a handshake auth rejection (HTTP 401/403 — revoked/invalid key or insufficient scope), or an exhausted reconnect budget all stop the loop permanently via on_terminal rather than reconnect-hammering.

Callbacks

Callback Fires on
on_event(frame) Every classified data frame (the main path)
on_meta(frame) _meta frames: welcome + upstream connectivity events
on_terminal(code) Terminal stop. code is the WS close code (4013 = credentials revoked), the handshake HTTP status (401/403), or -1 (reconnect budget exhausted)
on_command_result(frame) Subscribe acks / command errors (no correlation id)
on_raw(frame) Optional advanced tap: every frame pre-classification (audit/metrics)

License

MIT — see LICENSE.

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