Regolo AI × WorkDaddy: LLM Provider Integration (2026)

Use Regolo AI as the engine behind your WorkDaddy agent team: 13 models available, context windows up to 262K tokens, connected in minutes with your own key.

Regolo AI is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the More Providers group. The catalog currently lists 13 models from Regolo AI: 8 with explicit reasoning, 3 with vision input, and 10 with tool calling — the capability that matters most for agent work. The largest context window reaches 262K tokens.

At a glance

Models available 13
Reasoning models 8
Vision models 3
Tool-calling models 10
Largest context window 262K tokens
API endpoint https://api.regolo.ai/v1
API key variable REGOLO_API_KEY
SDK adapter @ai-sdk/openai-compatible
Provider docs docs.regolo.ai ↗

Why run WorkDaddy agents on Regolo AI in 2026

Tool calling, context size, and cost decide how well a provider drives an agent team. Regolo AI brings 10 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 Regolo AI’s strongest model and bulk work to its cheapest, inside one team.

Best Regolo AI models for e-commerce agents (2026)

The current flagships from Regolo AI in the WorkDaddy catalog, newest first:

  • Mistral Small 4 119B — Efficient Mistral model for fast chat, extraction, and production assistants (256K context)

  • MiniMax 2.5 — MiniMax model for chat, coding, office work, and agentic tasks (190K context)

  • GPT-OSS-20B — Open-weight GPT model for self-hosted reasoning and instruction-following workloads (128K context)

  • Qwen-Image — Image model for prompt-driven generation, editing, and visual design workflows (8K context)

  • Qwen3-Coder-Next — Qwen coding model for software agents, repository edits, and code reasoning (262K context)

  • Qwen3.5-122B — Qwen vision-language model for visual reasoning, documents, and agent tasks (262K context)

How to connect Regolo AI to WorkDaddy

WorkDaddy talks to Regolo AI at api.regolo.ai via the @ai-sdk/openai-compatible adapter. Add your credential (typically REGOLO_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add Regolo AI as one engine among several and let tasks route to the best fit.

Featured models

Model Context Reasoning Released
Mistral Small 4 119B 256K Yes 2026-03-15
MiniMax 2.5 190K Yes 2026-03-10
GPT-OSS-20B 128K Yes 2026-03-01
Qwen-Image 8K No 2026-03-01
Qwen3-Coder-Next 262K Yes 2026-03-01
Qwen3.5-122B 262K Yes 2026-02-01

How it works

01

Connect

In WorkDaddy, open Settings → Models, choose Regolo AI, and paste your API key (REGOLO_API_KEY). No key? Start on the managed gateway instead.

02

Put agents to work

Pick Mistral Small 4 119B or any of the 13 available models as your default — per-agent overrides let you match model to task.

03

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 Regolo AI in 2026?

Yes — Regolo AI is a supported LLM provider with 13 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.

How many Regolo AI models can I use with WorkDaddy?

13 models are listed for Regolo AI, including 8 reasoning models and 3 vision-capable models. The flagship lineup above shows the newest.

What context window do Regolo AI models offer?

Up to 262K tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.

Is Regolo AI the best LLM provider for e-commerce agents?

It depends on the task mix — Regolo 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.

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.