Vertex × WorkDaddy: LLM Provider Integration (2026)

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

Vertex 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 Vertex: 35 with explicit reasoning, 29 with vision input, and 35 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 35
Vision models 29
Tool-calling models 35
Largest context window 1M tokens
API key variable GOOGLE_VERTEX_PROJECT
SDK adapter @ai-sdk/google-vertex
Provider docs cloud.google.com ↗

Why run WorkDaddy agents on Vertex in 2026

Tool calling, context size, and cost decide how well a provider drives an agent team. Vertex brings 35 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 Vertex’s strongest model and bulk work to its cheapest, inside one team.

Best Vertex models for e-commerce agents (2026)

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

  • Claude Opus 5 — Strongest Claude Opus model for coding, agents, and professional work (1M context)

  • 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)

  • Claude Sonnet 5 — Everyday Claude agent model for coding, planning, browsing, and general work (1M context)

  • Claude Opus 4.8 — Top Claude Opus tier for the hardest reasoning, coding, and long-horizon agents (1M context)

  • Nano Banana 2 — Image model for prompt-driven generation, editing, and visual design workflows (131K context)

How to connect Vertex to WorkDaddy

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

Featured models

Model Context Reasoning Released
Claude Opus 5 1M Yes 2026-07-24
Gemini 3.5 Flash Lite 1M Yes 2026-07-21
Gemini 3.6 Flash 1M Yes 2026-07-21
Claude Sonnet 5 1M Yes 2026-06-30
Claude Opus 4.8 1M Yes 2026-05-28
Nano Banana 2 131K Yes 2026-05-28

How it works

01

Connect

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

02

Put agents to work

Pick Claude Opus 5 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 Vertex in 2026?

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

How many Vertex models can I use with WorkDaddy?

41 models are listed for Vertex, including 35 reasoning models and 29 vision-capable models. The flagship lineup above shows the newest.

What context window do Vertex models offer?

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

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

It depends on the task mix — Vertex 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.