Wafer × WorkDaddy: LLM Provider Integration (2026)
Use Wafer as the engine behind your WorkDaddy agent team: 5 models available, context windows up to 1M tokens, connected in minutes with your own key.
Wafer is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the More Providers group. The catalog currently lists 5 models from Wafer: 5 with explicit reasoning, 2 with vision input, and 5 with tool calling — the capability that matters most for agent work. The largest context window reaches 1M tokens.
At a glance
| Models available | 5 |
|---|---|
| Reasoning models | 5 |
| Vision models | 2 |
| Tool-calling models | 5 |
| Largest context window | 1M tokens |
| API endpoint | https://pass.wafer.ai/v1 |
| API key variable | WAFER_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | docs.wafer.ai ↗ |
Why run WorkDaddy agents on Wafer in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. Wafer brings 5 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 Wafer’s strongest model and bulk work to its cheapest, inside one team.
Best Wafer models for e-commerce agents (2026)
The current flagships from Wafer in the WorkDaddy catalog, newest first:
GLM-5.2 — Open flagship GLM for long-horizon coding agents and million-token context work (1M context)
GLM5.2-Fast — The same model served for high TPS. (1M context)
MiniMax-M3 — MiniMax multimodal model for long-context coding, perception, and agent planning (1M context)
Kimi K2.6 — Kimi K2.6 sparse MoE model with a 262K context window. Available serverless and not included in standard Wafer Pass. Non-ZDR only: requests with `Wafer-ZDR: required` are rejected. (262K context)
GLM-5.1 — General Language Model 5.1 — high-quality bilingual (EN/ZH) generation with strong coding and reasoning capabilities. (203K context)
How to connect Wafer to WorkDaddy
WorkDaddy talks to Wafer at pass.wafer.ai via the @ai-sdk/openai-compatible adapter. Add your credential (typically WAFER_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add Wafer as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| GLM-5.2 | 1M | Yes | 2026-06-13 |
| GLM5.2-Fast | 1M | Yes | 2026-06-13 |
| MiniMax-M3 | 1M | Yes | 2026-06-01 |
| Kimi K2.6 | 262K | Yes | 2026-04-21 |
| GLM-5.1 | 203K | Yes | 2026-04-07 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose Wafer, and paste your API key (WAFER_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick GLM-5.2 or any of the 5 available models as your default — per-agent overrides let you match model to task.
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 Wafer in 2026?
Yes — Wafer is a supported LLM provider with 5 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many Wafer models can I use with WorkDaddy?
5 models are listed for Wafer, including 5 reasoning models and 2 vision-capable models. The flagship lineup above shows the newest.
What context window do Wafer models offer?
Up to 1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is Wafer the best LLM provider for e-commerce agents?
It depends on the task mix — Wafer 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.
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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.