Google × WorkDaddy: LLM Provider Integration (2026)

Use Google as the engine behind your WorkDaddy agent team: 41 models available, context windows up to 1M tokens, connected in minutes with your own key.

Google is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Frontier Labs group. The catalog currently lists 41 models from Google: 29 with explicit reasoning, 36 with vision input, and 24 with tool calling — the capability that matters most for agent work. The largest context window reaches 1M tokens.

At a glance

Models available 41
Reasoning models 29
Vision models 36
Tool-calling models 24
Largest context window 1M tokens
API key variable GOOGLE_API_KEY
SDK adapter @ai-sdk/google
Provider docs ai.google.dev ↗

Why run WorkDaddy agents on Google in 2026

Tool calling, context size, and cost decide how well a provider drives an agent team. Google brings 24 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 1M tokens of context at the top end for whole-codebase and long-report work. Because WorkDaddy is model-agnostic, you can route heavy reasoning to Google’s strongest model and bulk work to its cheapest, inside one team.

Best Google models for e-commerce agents (2026)

The current flagships from Google in the WorkDaddy catalog, newest first:

  • Gemini 3.5 Flash Lite — Fast Gemini model balancing multimodal reasoning, tool use, and cost (1M context)

  • Gemini 3.6 Flash — Fast Gemini model balancing multimodal reasoning, tool use, and cost (1M context)

  • Gemini Omni Flash Preview — Video generation and editing model for fast, conversational text- and image-to-video workflows (131K context)

  • Nano Banana 2 Lite — Fastest, most cost-efficient Gemini image model for high-volume 1K generation and editing (66K context)

  • Gemini 3.5 Live Translate Preview — Low-latency audio-to-audio model for real-time speech translation across 70+ languages (16K context)

  • Nano Banana 2 — Image model for prompt-driven generation, editing, and visual design workflows (66K context)

How to connect Google to WorkDaddy

WorkDaddy talks to Google at — via the @ai-sdk/google adapter. Add your credential (typically GOOGLE_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add Google as one engine among several and let tasks route to the best fit.

Featured models

Model Context Reasoning Released
Gemini 3.5 Flash Lite 1M Yes 2026-07-21
Gemini 3.6 Flash 1M Yes 2026-07-21
Gemini Omni Flash Preview 131K Yes 2026-06-30
Nano Banana 2 Lite 66K Yes 2026-06-30
Gemini 3.5 Live Translate Preview 16K No 2026-06-09
Nano Banana 2 66K Yes 2026-05-28

How it works

01

Connect

In WorkDaddy, open Settings → Models, choose Google, and paste your API key (GOOGLE_API_KEY). No key? Start on the managed gateway instead.

02

Put agents to work

Pick Gemini 3.5 Flash Lite or any of the 41 available models as your default — per-agent overrides let you match model to task.

03

Review and approve

Agent output stays draft-first regardless of the model: review diffs and approve actions exactly as before.

Frequently asked questions

Does WorkDaddy support Google in 2026?

Yes — Google is a supported LLM provider with 41 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/google adapter.

How many Google models can I use with WorkDaddy?

41 models are listed for Google, including 29 reasoning models and 36 vision-capable models. The flagship lineup above shows the newest.

What context window do Google models offer?

Up to 1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.

Is Google the best LLM provider for e-commerce agents?

It depends on the task mix — Google sits in the Frontier Labs group. WorkDaddy is model-agnostic, so the practical answer in 2026 is to combine providers: route each agent task to whichever model fits best.

Put the team to work on your store

Connect your storefront, analytics, and email stack, set a goal, and let the agents run the work end to end. Start on the free plan with your own model key.