LLM Gateway × WorkDaddy: LLM Provider Integration (2026)
Use LLM Gateway as the engine behind your WorkDaddy agent team: 188 models available, context windows up to 2M tokens, connected in minutes with your own key.
LLM Gateway is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Aggregators & Gateways group. The catalog currently lists 188 models from LLM Gateway: 126 with explicit reasoning, 122 with vision input, and 167 with tool calling — the capability that matters most for agent work. The largest context window reaches 2M tokens.
At a glance
| Models available | 188 |
|---|---|
| Reasoning models | 126 |
| Vision models | 122 |
| Tool-calling models | 167 |
| Largest context window | 2M tokens |
| API endpoint | https://api.llmgateway.io/v1 |
| API key variable | LLMGATEWAY_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | llmgateway.io ↗ |
Why run WorkDaddy agents on LLM Gateway in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. LLM Gateway brings 167 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 2M 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 LLM Gateway’s strongest model and bulk work to its cheapest, inside one team.
Best LLM Gateway models for e-commerce agents (2026)
The current flagships from LLM Gateway in the WorkDaddy catalog, newest first:
Qwen3.7 Flash — Multimodal reasoning model for visual analysis, planning, and tool use (1M context)
Claude Opus 5 — Strongest Claude Opus model for coding, agents, and professional work (1M context)
Gemini 3.5 Flash Lite — Fast Gemini model balancing multimodal reasoning, tool use, and cost (1M context)
Gemini 3.6 Flash — Fast Gemini model balancing multimodal reasoning, tool use, and cost (1M context)
Kimi K3 — Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work (1M context)
Kimi K3 — Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work (1M context)
How to connect LLM Gateway to WorkDaddy
WorkDaddy talks to LLM Gateway at api.llmgateway.io via the @ai-sdk/openai-compatible adapter. Add your credential (typically LLMGATEWAY_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add LLM Gateway as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| Qwen3.7 Flash | 1M | Yes | 2026-07-27 |
| Claude Opus 5 | 1M | Yes | 2026-07-24 |
| Gemini 3.5 Flash Lite | 1M | Yes | 2026-07-21 |
| Gemini 3.6 Flash | 1M | Yes | 2026-07-21 |
| Kimi K3 | 1M | Yes | 2026-07-16 |
| Kimi K3 | 1M | Yes | 2026-07-16 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose LLM Gateway, and paste your API key (LLMGATEWAY_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick Qwen3.7 Flash or any of the 188 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 LLM Gateway in 2026?
Yes — LLM Gateway is a supported LLM provider with 188 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many LLM Gateway models can I use with WorkDaddy?
188 models are listed for LLM Gateway, including 126 reasoning models and 122 vision-capable models. The flagship lineup above shows the newest.
What context window do LLM Gateway models offer?
Up to 2M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is LLM Gateway the best LLM provider for e-commerce agents?
It depends on the task mix — LLM Gateway sits in the Aggregators & Gateways group. WorkDaddy is model-agnostic, so the practical answer in 2026 is to combine providers: route each agent task to whichever model fits best.
Keep reading
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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.