Merge pull request #519 from tth37/external_web_search

Add tutorials for external web search
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Tim Jaeryang Baek 2025-05-10 17:24:39 +04:00 committed by GitHub
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---
sidebar_position: 17
title: "External"
---
:::warning
This tutorial is a community contribution and is not supported by the Open WebUI team. It serves only as a demonstration on how to customize Open WebUI for your specific use case. Want to contribute? Check out the contributing tutorial.
:::
## External Web Search API
This option allows you to connect Open WebUI to your own self-hosted web search API endpoint. This is useful if you want to:
* Integrate a search engine not natively supported by Open WebUI.
* Implement custom search logic, filtering, or result processing.
* Use a private or internal search index.
### Open WebUI Setup
1. Navigate to the Open WebUI `Admin Panel`.
2. Go to the `Settings` tab and then select `Web Search`.
3. Toggle `Enable Web Search` to the on position.
4. Set `Web Search Engine` from the dropdown menu to `external`.
5. Fill `External Search URL` with the full URL of your custom search API endpoint (e.g., `http://localhost:8000/search` or `https://my-search-api.example.com/api/search`).
6. Fill `External Search API Key` with the secret API key required to authenticate with your custom search endpoint. Leave blank if your endpoint doesn't require authentication (not recommended for public endpoints).
7. Click `Save`.
![Open WebUI Admin panel showing External Search config](/images/tutorial_external_search.png)
### API Specification
Open WebUI will interact with your `External Search URL` as follows:
* **Method:** `POST`
* **Headers:**
* `Content-Type: application/json`
* `Authorization: Bearer <YOUR_EXTERNAL_SEARCH_API_KEY>`
* **Request Body (JSON):**
```json
{
"query": "The user's search query string",
"count": 5 // The maximum number of search results requested
}
```
* `query` (string): The search term entered by the user.
* `count` (integer): The suggested maximum number of results Open WebUI expects. Your API can return fewer results if necessary.
* **Expected Response Body (JSON):**
Your API endpoint *must* return a JSON array of search result objects. Each object should have the following structure:
```json
[
{
"link": "URL of the search result",
"title": "Title of the search result page",
"snippet": "A brief description or snippet from the search result page"
},
{
"link": "...",
"title": "...",
"snippet": "..."
}
// ... potentially more results up to the requested count
]
```
* `link` (string): The direct URL to the search result.
* `title` (string): The title of the web page.
* `snippet` (string): A descriptive text snippet from the page content relevant to the query.
If an error occurs or no results are found, your endpoint should ideally return an empty JSON array `[]`.
### Example Implementation (Python/FastAPI)
Here is a simple example of a self-hosted search API using Python with FastAPI and the `duckduckgo-search` library.
```python
import uvicorn
from fastapi import FastAPI, Header, Body, HTTPException
from pydantic import BaseModel
from duckduckgo_search import DDGS
EXPECTED_BEARER_TOKEN = "your_secret_token_here"
app = FastAPI()
class SearchRequest(BaseModel):
query: str
count: int
class SearchResult(BaseModel):
link: str
title: str | None
snippet: str | None
@app.post("/search")
async def external_search(
search_request: SearchRequest = Body(...),
authorization: str | None = Header(None),
):
expected_auth_header = f"Bearer {EXPECTED_BEARER_TOKEN}"
if authorization != expected_auth_header:
raise HTTPException(status_code=401, detail="Unauthorized")
query, count = search_request.query, search_request.count
results = []
try:
with DDGS() as ddgs:
search_results = ddgs.text(
query, safesearch="moderate", max_results=count, backend="lite"
)
results = [
SearchResult(
link=result["href"],
title=result.get("title"),
snippet=result.get("body"),
)
for result in search_results
]
except Exception as e:
print(f"Error during DuckDuckGo search: {e}")
return results
if __name__ == "__main__":
uvicorn.run("main:app", host="0.0.0.0", port=8888)
```

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