EmpirioLabs AI × WorkDaddy: LLM Provider Integration (2026)
Use EmpirioLabs AI as the engine behind your WorkDaddy agent team: 39 models available, context windows up to 1M tokens, connected in minutes with your own key.
EmpirioLabs AI is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the More Providers group. The catalog currently lists 39 models from EmpirioLabs AI: 37 with explicit reasoning, 23 with vision input, and 39 with tool calling — the capability that matters most for agent work. The largest context window reaches 1M tokens.
At a glance
| Models available | 39 |
|---|---|
| Reasoning models | 37 |
| Vision models | 23 |
| Tool-calling models | 39 |
| Largest context window | 1M tokens |
| API endpoint | https://api.empiriolabs.ai/v1 |
| API key variable | EMPIRIOLABS_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | docs.empiriolabs.ai ↗ |
Why run WorkDaddy agents on EmpirioLabs AI in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. EmpirioLabs AI brings 39 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 EmpirioLabs AI’s strongest model and bulk work to its cheapest, inside one team.
Best EmpirioLabs AI models for e-commerce agents (2026)
The current flagships from EmpirioLabs AI in the WorkDaddy catalog, newest first:
DeepSeek V4 Flash 0731 — Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding (1M context)
Kimi K3 — Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work (1M context)
Qwen3.7 Flash — Lightweight multimodal Qwen model for high-throughput text, image, and video tasks (1M context)
GLM 5.2 — Open flagship GLM for long-horizon coding agents and million-token context work (1M context)
Kimi K2.7 Code Highspeed — Lower-latency Kimi Code variant for interactive edits and coding-agent loops (256K context)
Kimi K2.7 Code — Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking (256K context)
How to connect EmpirioLabs AI to WorkDaddy
WorkDaddy talks to EmpirioLabs AI at api.empiriolabs.ai via the @ai-sdk/openai-compatible adapter. Add your credential (typically EMPIRIOLABS_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add EmpirioLabs AI as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| DeepSeek V4 Flash 0731 | 1M | Yes | 2026-07-31 |
| Kimi K3 | 1M | Yes | 2026-07-16 |
| Qwen3.7 Flash | 1M | Yes | 2026-07-15 |
| GLM 5.2 | 1M | Yes | 2026-06-13 |
| Kimi K2.7 Code Highspeed | 256K | Yes | 2026-06-12 |
| Kimi K2.7 Code | 256K | Yes | 2026-06-12 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose EmpirioLabs AI, and paste your API key (EMPIRIOLABS_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick DeepSeek V4 Flash 0731 or any of the 39 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 EmpirioLabs AI in 2026?
Yes — EmpirioLabs AI is a supported LLM provider with 39 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many EmpirioLabs AI models can I use with WorkDaddy?
39 models are listed for EmpirioLabs AI, including 37 reasoning models and 23 vision-capable models. The flagship lineup above shows the newest.
What context window do EmpirioLabs AI models offer?
Up to 1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is EmpirioLabs AI the best LLM provider for e-commerce agents?
It depends on the task mix — EmpirioLabs AI 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.
Keep reading
Explore more integration directories
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.