ai& × WorkDaddy: LLM Provider Integration (2026)

Use ai& as the engine behind your WorkDaddy agent team: 8 models available, context windows up to 1M tokens, connected in minutes with your own key.

ai& is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the More Providers group. The catalog currently lists 8 models from ai&: 8 with explicit reasoning, 3 with vision input, and 8 with tool calling — the capability that matters most for agent work. The largest context window reaches 1M tokens.

At a glance

Models available 8
Reasoning models 8
Vision models 3
Tool-calling models 8
Largest context window 1M tokens
API endpoint https://api.aiand.com/v1
API key variable AIAND_API_KEY
SDK adapter @ai-sdk/openai-compatible
Provider docs docs.aiand.com ↗

Why run WorkDaddy agents on ai& in 2026

Tool calling, context size, and cost decide how well a provider drives an agent team. ai& brings 8 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 ai&’s strongest model and bulk work to its cheapest, inside one team.

Best ai& models for e-commerce agents (2026)

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

  • Kimi K3 — Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work (1M context)

  • GLM-5.2 — Open flagship GLM for long-horizon coding agents and million-token context work (1M context)

  • Kimi K2.7 Code — Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking (262K context)

  • DeepSeek V4 Flash — Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work (1M context)

  • DeepSeek V4 Pro — Open MoE flagship with million-token context for coding and long agent runs (1M context)

  • Qwen3.6 27B — Qwen vision-language model for visual reasoning, documents, and agent tasks (262K context)

How to connect ai& to WorkDaddy

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

Featured models

Model Context Reasoning Released
Kimi K3 1M Yes 2026-07-16
GLM-5.2 1M Yes 2026-06-13
Kimi K2.7 Code 262K Yes 2026-06-12
DeepSeek V4 Flash 1M Yes 2026-04-24
DeepSeek V4 Pro 1M Yes 2026-04-24
Qwen3.6 27B 262K Yes 2026-04-22

How it works

01

Connect

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

02

Put agents to work

Pick Kimi K3 or any of the 8 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 ai& in 2026?

Yes — ai& is a supported LLM provider with 8 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.

How many ai& models can I use with WorkDaddy?

8 models are listed for ai&, including 8 reasoning models and 3 vision-capable models. The flagship lineup above shows the newest.

What context window do ai& models offer?

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

Is ai& the best LLM provider for e-commerce agents?

It depends on the task mix — ai& sits in the More Providers 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.