---
type: "post"
id: "search-and-fetch-tools-from-browserbase-are-now-415ffd"
slug: "search-and-fetch-tools-from-browserbase-are-now-415ffd"
title: "Search and Fetch tools from @browserbase are now on AI Gateway."
description: "Thesis: Vercel’s Browserbase Search and Fetch integration makes web retrieval available through the AI Gateway tool interface across supported model providers."
retrieval_nugget: "Thesis: Vercel’s Browserbase Search and Fetch integration makes web retrieval available through the AI Gateway tool interface across supported model providers."
published_at: "2026-10-07"
updated_at: "2026-10-07"
record_date: "2026-10-07"
date_kind: "published_at"
topics: []
source_urls: ["https://vercel.com/changelog/ai-gateway-adds-browserbase-search-and-fetch-tools"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:search-and-fetch-tools-from-browserbase-are-now-415ffd"
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analysis: {"schema_version":"newruntime-site-analysis-v1","object_kind":"field_note","thesis":"Vercel’s Browserbase Search and Fetch integration makes web retrieval available through the AI Gateway tool interface across supported model providers.","observed_facts":[{"text":"Vercel says Browserbase Search and Fetch are available through AI Gateway for models that support tool calling.","source_urls":["https://vercel.com/changelog/ai-gateway-adds-browserbase-search-and-fetch-tools"]},{"text":"Vercel specifies AI SDK 7.0.116 or later and demonstrates passing the helpers in the tools parameter.","source_urls":["https://vercel.com/changelog/ai-gateway-adds-browserbase-search-and-fetch-tools"]}],"mechanism":"The developer supplies Browserbase’s search and fetch helpers as tools while calling a model through the Gateway; the Gateway provides a shared API key and keeps the tools available when the developer switches models.","why_now":"Vercel has announced availability and provided an SDK version and integration path, so teams already using AI SDK can evaluate the workflow without waiting for a new product milestone.","implications":["The integration can reduce provider-specific wiring for applications that need web retrieval, though the source does not show that it improves search coverage, factuality, latency, or cost."],"evidence_boundary":"The evidence is Vercel’s announcement and its stated configuration; it contains no independent performance comparison or user results.","watch_conditions":["Whether teams report that the shared tool interface remains reliable across different model providers."],"related_records":[],"new_branch_reason":"No prior New Runtime record is supplied for this specific AI Gateway and Browserbase integration; record it as a distinct integration update without inferring a connection to related records."}
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
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---

# Search and Fetch tools from @browserbase are now on AI Gateway.

## Retrieval answer

Thesis: Vercel’s Browserbase Search and Fetch integration makes web retrieval available through the AI Gateway tool interface across supported model providers.

Thesis: Vercel’s Browserbase Search and Fetch integration makes web retrieval available through the AI Gateway tool interface across supported model providers. The announcement says Browserbase Search and Fetch are now available through AI Gateway and that models with tool-calling support can use them to search and retrieve page contents. It also specifies AI SDK 7.0.116 or later and demonstrates passing the helpers in the `tools` parameter.

Mechanism: The developer supplies Browserbase’s search and fetch helpers as tools while calling a model through the Gateway; the Gateway provides a shared API key and keeps the tools available when the developer switches models. Why now: Vercel has announced availability and provided an SDK version and integration path, so teams already using AI SDK can evaluate the workflow without waiting for a new product milestone.

Implication: The integration can reduce provider-specific wiring for applications that need web retrieval, though the source does not show that it improves search coverage, factuality, latency, or cost. Evidence boundary: The evidence is Vercel’s announcement and its stated configuration; it contains no independent performance comparison or user results. Watch condition: Whether teams report that the shared tool interface remains reliable across different model providers. The announcement makes availability and configuration claims, not claims of superior retrieval quality. The next useful evidence would be implementation reports or comparative evaluations of result quality and reliability.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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