Kenari × WorkDaddy: LLM Provider Integration (2026)
Use Kenari as the engine behind your WorkDaddy agent team: 38 models available, context windows up to 1.1M tokens, connected in minutes with your own key.
Kenari is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the More Providers group. The catalog currently lists 38 models from Kenari: 37 with explicit reasoning, 25 with vision input, and 37 with tool calling — the capability that matters most for agent work. The largest context window reaches 1.1M tokens.
At a glance
| Models available | 38 |
|---|---|
| Reasoning models | 37 |
| Vision models | 25 |
| Tool-calling models | 37 |
| Largest context window | 1.1M tokens |
| API endpoint | https://kenari.id/v1 |
| API key variable | KENARI_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | kenari.id ↗ |
Why run WorkDaddy agents on Kenari in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. Kenari brings 37 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 1.1M 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 Kenari’s strongest model and bulk work to its cheapest, inside one team.
Best Kenari models for e-commerce agents (2026)
The current flagships from Kenari in the WorkDaddy catalog, newest first:
Kimi K3 — Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work (1M context)
GPT-5.6 Luna — Cost-efficient GPT-5.6 model for fast, high-volume workloads (1.1M context)
GPT-5.6 Terra — Balanced GPT-5.6 model for capable, cost-efficient everyday work (1.1M context)
GPT-5.6 Sol — Frontier GPT-5.6 model for complex professional work, coding, and agentic workflows (1.1M context)
Grok 4.5 — xAI's latest Grok for chat, coding, agentic tools, and lower hallucination risk (500K context)
Claude Sonnet 5 — Everyday Claude agent model for coding, planning, browsing, and general work (1M context)
How to connect Kenari to WorkDaddy
WorkDaddy talks to Kenari at kenari.id via the @ai-sdk/openai-compatible adapter. Add your credential (typically KENARI_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add Kenari as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| Kimi K3 | 1M | Yes | 2026-07-16 |
| GPT-5.6 Luna | 1.1M | Yes | 2026-07-09 |
| GPT-5.6 Terra | 1.1M | Yes | 2026-07-09 |
| GPT-5.6 Sol | 1.1M | Yes | 2026-07-09 |
| Grok 4.5 | 500K | Yes | 2026-07-08 |
| Claude Sonnet 5 | 1M | Yes | 2026-06-30 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose Kenari, and paste your API key (KENARI_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick Kimi K3 or any of the 38 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 Kenari in 2026?
Yes — Kenari is a supported LLM provider with 38 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many Kenari models can I use with WorkDaddy?
38 models are listed for Kenari, including 37 reasoning models and 25 vision-capable models. The flagship lineup above shows the newest.
What context window do Kenari models offer?
Up to 1.1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is Kenari the best LLM provider for e-commerce agents?
It depends on the task mix — Kenari 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.
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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.