> ## Documentation Index
> Fetch the complete documentation index at: https://www.adaline.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# SearchResultContent

# SearchResultContent

Search result content for grounding LLM responses with web search data.

```python theme={null}
from adaline_api.models.search_result_content import SearchResultContent
```

***

## Fields

**modality** `str` *required*

Must be `"search-result"`.

**value** `SearchResultGoogleContentValue` *required*

Google search result value with `type`, `references`, and `responses`.

***

## Example

```python theme={null}
from adaline_api.models.search_result_content import SearchResultContent
from adaline_api.models.search_result_google_content_value import SearchResultGoogleContentValue
from adaline_api.models.message_content import MessageContent

search_result = SearchResultContent(
    modality="search-result",
    value=SearchResultGoogleContentValue.from_dict({
        "type": "google",
        "references": [
            {"title": "Example", "url": "https://example.com", "snippet": "..."}
        ],
        "responses": [
            {"text": "Search grounding result..."}
        ]
    })
)

content = MessageContent(actual_instance=search_result)
```

**JSON**:

```json theme={null}
{
  "modality": "search-result",
  "value": {
    "type": "google",
    "references": [
      { "title": "Example", "url": "https://example.com", "snippet": "..." }
    ],
    "responses": [
      { "text": "Search grounding result..." }
    ]
  }
}
```

***

## Related

* [MessageContent](https://www.adaline.ai/docs/reference/sdk/v2/python/types/MessageContent.md) — union wrapper for all content types
* [PromptMessage](https://www.adaline.ai/docs/reference/sdk/v2/python/types/PromptMessage.md) — chat message containing content arrays


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