Llama × WorkDaddy: LLM Provider Integration (2026)
Use Llama as the engine behind your WorkDaddy agent team: 7 models available, context windows up to 128K tokens, connected in minutes with your own key.
Llama is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Frontier Labs group. The catalog currently lists 7 models from Llama: 0 with explicit reasoning, 2 with vision input, and 7 with tool calling — the capability that matters most for agent work. The largest context window reaches 128K tokens.
At a glance
| Models available | 7 |
|---|---|
| Reasoning models | 0 |
| Vision models | 2 |
| Tool-calling models | 7 |
| Largest context window | 128K tokens |
| API endpoint | https://api.llama.com/compat/v1/ |
| API key variable | LLAMA_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | llama.developer.meta.com ↗ |
Why run WorkDaddy agents on Llama in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. Llama brings 7 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 128K 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 Llama’s strongest model and bulk work to its cheapest, inside one team.
Best Llama models for e-commerce agents (2026)
The current flagships from Llama in the WorkDaddy catalog, newest first:
Cerebras-Llama-4-Maverick-17B-128E-Instruct — Open multimodal Llama model for strong reasoning and fast responses (128K context)
Cerebras-Llama-4-Scout-17B-16E-Instruct — Open multimodal Llama model for long-context analysis and efficient agents (128K context)
Llama-4-Scout-17B-16E-Instruct-FP8 — Open multimodal Llama model for long-context analysis and efficient agents (128K context)
Llama-4-Maverick-17B-128E-Instruct-FP8 — Open multimodal Llama model for strong reasoning and fast responses (128K context)
Groq-Llama-4-Maverick-17B-128E-Instruct — Open multimodal Llama model for strong reasoning and fast responses (128K context)
Llama-3.3-70B-Instruct — Open Llama instruction model for multilingual chat, reasoning, and coding (128K context)
How to connect Llama to WorkDaddy
WorkDaddy talks to Llama at api.llama.com via the @ai-sdk/openai-compatible adapter. Add your credential (typically LLAMA_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add Llama as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| Cerebras-Llama-4-Maverick-17B-128E-Instruct | 128K | No | 2025-04-05 |
| Cerebras-Llama-4-Scout-17B-16E-Instruct | 128K | No | 2025-04-05 |
| Llama-4-Scout-17B-16E-Instruct-FP8 | 128K | No | 2025-04-05 |
| Llama-4-Maverick-17B-128E-Instruct-FP8 | 128K | No | 2025-04-05 |
| Groq-Llama-4-Maverick-17B-128E-Instruct | 128K | No | 2025-04-05 |
| Llama-3.3-70B-Instruct | 128K | No | 2024-12-06 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose Llama, and paste your API key (LLAMA_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick Cerebras-Llama-4-Maverick-17B-128E-Instruct or any of the 7 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 Llama in 2026?
Yes — Llama is a supported LLM provider with 7 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many Llama models can I use with WorkDaddy?
7 models are listed for Llama, including 0 reasoning models and 2 vision-capable models. The flagship lineup above shows the newest.
What context window do Llama models offer?
Up to 128K tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is Llama the best LLM provider for e-commerce agents?
It depends on the task mix — Llama 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.