# `Vllm.Plugins`
[🔗](https://github.com/nshkrdotcom/vllm/blob/v0.3.0/lib/snakebridge_generated/vllm/plugins/__init__.ex#L6)

Submodule bindings for `vllm.plugins`.

## Version

- Requested: 0.14.0
- Observed at generation: 0.14.0

## Runtime Options

All functions accept a `__runtime__` option for controlling execution behavior:

    Vllm.Plugins.some_function(args, __runtime__: [timeout: 120_000])

### Supported runtime options

- `:timeout` - Call timeout in milliseconds (default: 120,000ms / 2 minutes)
- `:timeout_profile` - Use a named profile (`:default`, `:ml_inference`, `:batch_job`, `:streaming`)
- `:stream_timeout` - Timeout for streaming operations (default: 1,800,000ms / 30 minutes)
- `:session_id` - Override the session ID for this call
- `:pool_name` - Target a specific Snakepit pool (multi-pool setups)
- `:affinity` - Override session affinity (`:hint`, `:strict_queue`, `:strict_fail_fast`)

### Timeout Profiles

- `:default` - 2 minute timeout for regular calls
- `:ml_inference` - 10 minute timeout for ML/LLM workloads
- `:batch_job` - Unlimited timeout for long-running jobs
- `:streaming` - 2 minute timeout, 30 minute stream_timeout

### Example with timeout override

    # For a long-running ML inference call
    Vllm.Plugins.predict(data, __runtime__: [timeout_profile: :ml_inference])

    # Or explicit timeout
    Vllm.Plugins.predict(data, __runtime__: [timeout: 600_000])

    # Route to a pool and enforce strict affinity
    Vllm.Plugins.predict(data, __runtime__: [pool_name: :strict_pool, affinity: :strict_queue])

See `SnakeBridge.Defaults` for global timeout configuration.

# `default_plugins_group`

```elixir
@spec default_plugins_group() :: {:ok, String.t()} | {:error, Snakepit.Error.t()}
```

Python module attribute `vllm.plugins.DEFAULT_PLUGINS_GROUP`.

## Returns

- `String.t()`

# `io_processor_plugins_group`

```elixir
@spec io_processor_plugins_group() :: {:ok, String.t()} | {:error, Snakepit.Error.t()}
```

Python module attribute `vllm.plugins.IO_PROCESSOR_PLUGINS_GROUP`.

## Returns

- `String.t()`

# `load_general_plugins`

```elixir
@spec load_general_plugins(keyword()) :: {:ok, term()} | {:error, Snakepit.Error.t()}
```

WARNING: plugins can be loaded for multiple times in different

processes. They should be designed in a way that they can be loaded
multiple times without causing issues.

## Returns

- `term()`

# `load_plugins_by_group`

```elixir
@spec load_plugins_by_group(
  String.t(),
  keyword()
) :: {:ok, %{optional(String.t()) => term()}} | {:error, Snakepit.Error.t()}
```

Python binding for `vllm.plugins.load_plugins_by_group`.

## Parameters

- `group` (String.t())

## Returns

- `%{optional(String.t()) => term()}`

# `logger`

```elixir
@spec logger() :: {:ok, term()} | {:error, Snakepit.Error.t()}
```

Python module attribute `vllm.plugins.logger`.

## Returns

- `term()`

# `platform_plugins_group`

```elixir
@spec platform_plugins_group() :: {:ok, String.t()} | {:error, Snakepit.Error.t()}
```

Python module attribute `vllm.plugins.PLATFORM_PLUGINS_GROUP`.

## Returns

- `String.t()`

# `plugins_loaded`

```elixir
@spec plugins_loaded() :: {:ok, boolean()} | {:error, Snakepit.Error.t()}
```

Python module attribute `vllm.plugins.plugins_loaded`.

## Returns

- `boolean()`

# `stat_logger_plugins_group`

```elixir
@spec stat_logger_plugins_group() :: {:ok, String.t()} | {:error, Snakepit.Error.t()}
```

Python module attribute `vllm.plugins.STAT_LOGGER_PLUGINS_GROUP`.

## Returns

- `String.t()`

---

*Consult [api-reference.md](api-reference.md) for complete listing*