Mixlayer × WorkDaddy: LLM Provider Integration (2026)
Use Mixlayer as the engine behind your WorkDaddy agent team: 5 models available, context windows up to 262K tokens, connected in minutes with your own key.
Mixlayer 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 Mixlayer: 5 with explicit reasoning, 0 with vision input, and 5 with tool calling — the capability that matters most for agent work. The largest context window reaches 262K tokens.
At a glance
| Models available | 5 |
|---|---|
| Reasoning models | 5 |
| Vision models | 0 |
| Tool-calling models | 5 |
| Largest context window | 262K tokens |
| API endpoint | https://models.mixlayer.ai/v1 |
| API key variable | MIXLAYER_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | docs.mixlayer.com ↗ |
Why run WorkDaddy agents on Mixlayer in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. Mixlayer brings 5 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 262K 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 Mixlayer’s strongest model and bulk work to its cheapest, inside one team.
Best Mixlayer models for e-commerce agents (2026)
The current flagships from Mixlayer in the WorkDaddy catalog, newest first:
Qwen3.5 27B — Qwen instruction model for multilingual chat, reasoning, and tool use (262K context)
Qwen3.5 9B — Qwen instruction model for multilingual chat, reasoning, and tool use (262K context)
Qwen3.5 35B A3B — Qwen instruction model for multilingual chat, reasoning, and tool use (262K context)
Qwen3.5 397B A17B — Qwen instruction model for multilingual chat, reasoning, and tool use (262K context)
Qwen3.5 122B A10B — Qwen instruction model for multilingual chat, reasoning, and tool use (262K context)
How to connect Mixlayer to WorkDaddy
WorkDaddy talks to Mixlayer at models.mixlayer.ai via the @ai-sdk/openai-compatible adapter. Add your credential (typically MIXLAYER_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add Mixlayer as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| Qwen3.5 27B | 262K | Yes | 2026-03-18 |
| Qwen3.5 9B | 262K | Yes | 2026-03-18 |
| Qwen3.5 35B A3B | 262K | Yes | 2026-03-18 |
| Qwen3.5 397B A17B | 262K | Yes | 2026-03-18 |
| Qwen3.5 122B A10B | 262K | Yes | 2026-03-18 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose Mixlayer, and paste your API key (MIXLAYER_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick Qwen3.5 27B 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 Mixlayer in 2026?
Yes — Mixlayer 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 Mixlayer models can I use with WorkDaddy?
5 models are listed for Mixlayer, including 5 reasoning models and 0 vision-capable models. The flagship lineup above shows the newest.
What context window do Mixlayer models offer?
Up to 262K tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is Mixlayer the best LLM provider for e-commerce agents?
It depends on the task mix — Mixlayer 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.