Metadata-Version: 2.4
Name: viper-execution
Version: 0.2.2
Summary: Institutional-grade Python SDK for the Viper Execution trading API on Hyperliquid.
Project-URL: Homepage, https://viperexecution.com
Project-URL: Documentation, https://docs.viperexecution.com
Project-URL: Repository, https://github.com/viperexecution/viper-sdk-python
Project-URL: Issues, https://github.com/viperexecution/viper-sdk-python/issues
Author: Viper Execution
License: MIT License
        
        Copyright (c) 2026 Viper Execution
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
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License-File: LICENSE
Keywords: algotrading,hyperliquid,trading,viper,websocket
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Typing :: Typed
Requires-Python: >=3.10
Requires-Dist: httpx>=0.27.0
Requires-Dist: websockets>=13.0
Provides-Extra: dev
Requires-Dist: pytest-asyncio>=0.23; extra == 'dev'
Requires-Dist: pytest>=8.0; extra == 'dev'
Description-Content-Type: text/markdown

# Viper Execution Python SDK

Institutional-grade Python client for the [Viper Execution](https://viperexecution.com) trading API on Hyperliquid.

> **Status:** SDK `0.2.0` (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 â€” this is SDK 0.x against API v1.

## Install

```bash
pip install viper-execution
```

Requires Python â‰¥ 3.10.

## Quickstart

```python
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 â€” 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:

```python
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 â€” `from_env()` is never required:

```python
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 â€” no extra downloads. List the catalog and
run one by name or number:

```bash
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 â€” bash/zsh:

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

â€¦or PowerShell:

```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:

```bash
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:

```bash
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/`](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** â€” transport ping/pong plus a data-staleness watchdog; silent half-open connections are detected and reconnected.
- **Reconnect with resume** â€” 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** â€” 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** â€” 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** â€” `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** â€” credential revocation (close `4013`), a handshake auth rejection (HTTP `401`/`403` â€” 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 â€” see [LICENSE](LICENSE).
