openclaw/docs/tools/gemini-search.md

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---
summary: "Gemini web search with Google Search grounding"
read_when:
- You want to use Gemini for web_search
- You need a GEMINI_API_KEY
- You want Google Search grounding
title: "Gemini Search"
---
# Gemini Search
OpenClaw supports Gemini models with built-in
[Google Search grounding](https://ai.google.dev/gemini-api/docs/grounding),
which returns AI-synthesized answers backed by live Google Search results with
citations.
## Get an API key
<Steps>
<Step title="Create a key">
Go to [Google AI Studio](https://aistudio.google.com/apikey) and create an
API key.
</Step>
<Step title="Store the key">
Set `GEMINI_API_KEY` in the Gateway environment, or configure via:
```bash
openclaw configure --section web
```
</Step>
</Steps>
## Config
```json5
{
plugins: {
entries: {
google: {
config: {
webSearch: {
apiKey: "AIza...", // optional if GEMINI_API_KEY is set
model: "gemini-2.5-flash", // default
},
},
},
},
},
tools: {
web: {
search: {
provider: "gemini",
},
},
},
}
```
**Environment alternative:** set `GEMINI_API_KEY` in the Gateway environment.
For a gateway install, put it in `~/.openclaw/.env`.
## How it works
Unlike traditional search providers that return a list of links and snippets,
Gemini uses Google Search grounding to produce AI-synthesized answers with
inline citations. The results include both the synthesized answer and the source
URLs.
- Citation URLs from Gemini grounding are automatically resolved from Google
redirect URLs to direct URLs.
- Redirect resolution uses the SSRF guard path (HEAD + redirect checks +
http/https validation) before returning the final citation URL.
- Redirect resolution uses strict SSRF defaults, so redirects to
private/internal targets are blocked.
## Supported parameters
Gemini search supports the standard `query` and `count` parameters.
Provider-specific filters like `country`, `language`, `freshness`, and
`domain_filter` are not supported.
## Model selection
The default model is `gemini-2.5-flash` (fast and cost-effective). Any Gemini
model that supports grounding can be used via
`plugins.entries.google.config.webSearch.model`.
## Related
- [Web Search overview](/tools/web) -- all providers and auto-detection
- [Brave Search](/tools/brave-search) -- structured results with snippets
- [Perplexity Search](/tools/perplexity-search) -- structured results + content extraction