IO.NET × WorkDaddy: LLM Provider Integration (2026)
Use IO.NET as the engine behind your WorkDaddy agent team: 17 models available, context windows up to 430K tokens, connected in minutes with your own key.
IO.NET is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Inference Clouds group. The catalog currently lists 17 models from IO.NET: 3 with explicit reasoning, 4 with vision input, and 17 with tool calling — the capability that matters most for agent work. The largest context window reaches 430K tokens.
At a glance
| Models available | 17 |
|---|---|
| Reasoning models | 3 |
| Vision models | 4 |
| Tool-calling models | 17 |
| Largest context window | 430K tokens |
| API endpoint | https://api.intelligence.io.solutions/api/v1 |
| API key variable | IOINTELLIGENCE_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | io.net ↗ |
Why run WorkDaddy agents on IO.NET in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. IO.NET brings 17 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 430K 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 IO.NET’s strongest model and bulk work to its cheapest, inside one team.
Best IO.NET models for e-commerce agents (2026)
The current flagships from IO.NET in the WorkDaddy catalog, newest first:
Qwen 3 235B Thinking — Qwen reasoning model for deliberate problem solving, math, and coding (262K context)
Magistral Small 2506 — Mistral reasoning model for transparent analysis, math, and complex decisions (128K context)
Devstral Small 2505 — Mistral coding agent model for repository tasks and software engineering workflows (128K context)
DeepSeek R1 — DeepSeek reasoning model for multi-step analysis, math, coding, and tools (128K context)
Qwen 3 Coder 480B — Qwen coding model for software agents, repository edits, and code reasoning (106K context)
Llama 4 Maverick 17B 128E Instruct — Open multimodal Llama model for strong reasoning and fast responses (430K context)
How to connect IO.NET to WorkDaddy
WorkDaddy talks to IO.NET at api.intelligence.io.solutions via the @ai-sdk/openai-compatible adapter. Add your credential (typically IOINTELLIGENCE_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add IO.NET as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| Qwen 3 235B Thinking | 262K | Yes | 2025-07-01 |
| Magistral Small 2506 | 128K | No | 2025-06-01 |
| Devstral Small 2505 | 128K | No | 2025-05-01 |
| DeepSeek R1 | 128K | Yes | 2025-01-20 |
| Qwen 3 Coder 480B | 106K | No | 2025-01-15 |
| Llama 4 Maverick 17B 128E Instruct | 430K | No | 2025-01-15 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose IO.NET, and paste your API key (IOINTELLIGENCE_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick Qwen 3 235B Thinking or any of the 17 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 IO.NET in 2026?
Yes — IO.NET is a supported LLM provider with 17 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many IO.NET models can I use with WorkDaddy?
17 models are listed for IO.NET, including 3 reasoning models and 4 vision-capable models. The flagship lineup above shows the newest.
What context window do IO.NET models offer?
Up to 430K tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is IO.NET the best LLM provider for e-commerce agents?
It depends on the task mix — IO.NET sits in the Inference Clouds 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.