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OpenClaw supports Gemini models with built-in Google Search grounding, which returns AI-synthesized answers backed by live Google Search results with citations.

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Get an API key

1

Create a key

Go to Google AI Studio and create an API key.
2

Store the key

Set GEMINI_API_KEY in the Gateway environment, reuse models.providers.google.apiKey, or configure a dedicated web-search key via:

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Config

Credential precedence: Gemini web search uses plugins.entries.google.config.webSearch.apiKey first, then GEMINI_API_KEY, then models.providers.google.apiKey. For base URLs, the dedicated plugins.entries.google.config.webSearch.baseUrl wins before models.providers.google.baseUrl. For a gateway install, put env keys in ~/.openclaw/.env.

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Request headers

Set plugins.entries.google.config.webSearch.headers when an operator gateway needs extra request metadata. Plain string values use normal config handling; they are not automatically treated as secret merely because they are headers. When a header contains a secret, use a SecretRef value as shown above. OpenClaw resolves that value at runtime and applies the existing secret redaction path to it. The Gemini request keeps ownership of Content-Type, x-goog-api-key, and x-goog-api-client; those values override same-named configured headers. models.providers.google.headers are not inherited because they belong to the model provider endpoint, which can differ from the web-search endpoint. Empty plain-string values are valid. Invalid fields and transport-owned or framing names such as Content-Length, Host, and Transfer-Encoding fail the current search before cache lookup or network I/O. Effective header names and values partition the in-memory search cache through a digest, so two routing targets do not share results. Configured values for the provider-owned names above are ignored and do not partition the cache. On a cross-origin redirect, the guarded fetch path retains only its standard safe redirect headers.

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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 via a HEAD request through OpenClaw’s SSRF-guarded fetch path (redirect following, http/https validation).
  • Redirect resolution uses strict SSRF defaults, so redirects to private/internal targets are blocked.

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Supported parameters

Gemini search supports query, freshness, date_after, and date_before. count is accepted for shared web_search compatibility, but Gemini grounding still returns one synthesized answer with citations rather than an N-result list. freshness accepts day, week, month, year, and the shared shortcuts pd, pw, pm, and py. day/pd adds a recency instruction to the Gemini query instead of a hard 24-hour range. week, month, year, and explicit date_after/date_before ranges set Gemini Google Search grounding’s timeRangeFilter. country, language, and domain_filter are not supported.

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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.

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Base URL overrides

Set plugins.entries.google.config.webSearch.baseUrl when Gemini web search must route through an operator proxy or custom Gemini-compatible endpoint. If that is unset, Gemini web search reuses models.providers.google.baseUrl. A plain https://generativelanguage.googleapis.com value is normalized to https://generativelanguage.googleapis.com/v1beta; custom proxy paths are kept as provided after trimming trailing slashes.