## Grep File

`beta.retrieval.grep(RetrievalGrepParams**kwargs)  -> RetrievalGrepResponse`

**post** `/api/v1/retrieval/files/grep`

Grep within a file's parsed content using a regex pattern.

### Parameters

- `file_id: str`

  ID of the file to grep.

- `index_id: str`

  ID of the index the file belongs to.

- `pattern: str`

  Regex pattern to search for.

- `organization_id: Optional[str]`

- `project_id: Optional[str]`

- `context_chars: Optional[int]`

  Number of characters of context to include before and after the matched pattern in the content field of the response

- `limit: Optional[int]`

  Maximum number of matches to return.

### Returns

- `class RetrievalGrepResponse: …`

  Grep results for a file.

  - `matches: List[Match]`

    Regex matches found in the file.

    - `content: str`

      Matched text content.

    - `end_char: int`

      End character offset of the match.

    - `start_char: int`

      Start character offset of the match.

### Example

```python
import os
from llama_cloud import LlamaCloud

client = LlamaCloud(
    api_key=os.environ.get("LLAMA_CLOUD_API_KEY"),  # This is the default and can be omitted
)
response = client.beta.retrieval.grep(
    file_id="file_id",
    index_id="idx-abc123",
    pattern="revenue|profit",
)
print(response.matches)
```

#### Response

```json
{
  "matches": [
    {
      "content": "content",
      "end_char": 0,
      "start_char": 0
    }
  ]
}
```