## Documentation Index

Fetch the complete documentation index at: [/docs/llms.txt](/content/docs/llms.txt)

Use this file to discover all available pages before exploring further.

## Usage

```
fal api <model_id> [key=value ...]
```

**Arguments:**

| Argument   | Description                                               |
|------------|-----------------------------------------------------------|
| `model_id` | The model endpoint to call (e.g., `fal-ai/flux/schnell`)  |
| `params`   | Key-value pairs for the request body (e.g., `prompt="a sunset"`) |

## Examples

**Generate an image:**

```
fal api fal-ai/flux/schnell prompt="a cat wearing sunglasses"
```

The CLI shows real-time status updates (queued, in progress) and logs while the request is processing, then prints the result. **Nested parameters:** Use bracket notation for nested values:

```
fal api fal-ai/flux/schnell prompt="a sunset" image_size[width]:=1280 image_size[height]:=720
```

Use `:=` for non-string values (numbers, booleans):

```
fal api fal-ai/flux/schnell prompt="a sunset" num_images:=4 seed:=42
```

**Streaming endpoints:** If the model ID ends with `/stream`, the CLI streams output as it’s generated:

```
fal api fal-ai/any-llm/stream prompt="What is the meaning of life?" model=google/gemini-flash-1.5
```

## How It Works

- For regular endpoints: submits via the queue, polls for status with live log display, then prints the result
- For `/stream` endpoints: connects via streaming and prints output as it arrives
- Uses your configured `FAL_KEY` for authentication