Meta × WorkDaddy: LLM Provider Integration (2026)
Use Meta as the engine behind your WorkDaddy agent team: 1 models available, context windows up to 1M tokens, connected in minutes with your own key.
Meta is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Frontier Labs group. The catalog currently lists 1 models from Meta: 1 with explicit reasoning, 1 with vision input, and 1 with tool calling — the capability that matters most for agent work. The largest context window reaches 1M tokens.
At a glance
| Models available | 1 |
|---|---|
| Reasoning models | 1 |
| Vision models | 1 |
| Tool-calling models | 1 |
| Largest context window | 1M tokens |
| API endpoint | https://api.meta.ai/v1 |
| API key variable | META_MODEL_API_KEY |
| SDK adapter | @ai-sdk/openai |
| Provider docs | dev.meta.ai ↗ |
Why run WorkDaddy agents on Meta in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. Meta brings 1 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 Meta’s strongest model and bulk work to its cheapest, inside one team.
Best Meta models for e-commerce agents (2026)
The current flagships from Meta in the WorkDaddy catalog, newest first:
Muse Spark 1.1 — Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration. (1M context)
How to connect Meta to WorkDaddy
WorkDaddy talks to Meta at api.meta.ai via the @ai-sdk/openai adapter. Add your credential (typically META_MODEL_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add Meta as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| Muse Spark 1.1 | 1M | Yes | 2026-04-08 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose Meta, and paste your API key (META_MODEL_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick Muse Spark 1.1 or any of the 1 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 Meta in 2026?
Yes — Meta is a supported LLM provider with 1 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai adapter.
How many Meta models can I use with WorkDaddy?
1 models are listed for Meta, including 1 reasoning models and 1 vision-capable models. The flagship lineup above shows the newest.
What context window do Meta models offer?
Up to 1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is Meta the best LLM provider for e-commerce agents?
It depends on the task mix — Meta 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.
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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.