Cohere × WorkDaddy: LLM Provider Integration (2026)
Use Cohere as the engine behind your WorkDaddy agent team: 14 models available, context windows up to 256K tokens, connected in minutes with your own key.
Cohere is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Frontier Labs group. The catalog currently lists 14 models from Cohere: 3 with explicit reasoning, 4 with vision input, and 9 with tool calling — the capability that matters most for agent work. The largest context window reaches 256K tokens.
At a glance
| Models available | 14 |
|---|---|
| Reasoning models | 3 |
| Vision models | 4 |
| Tool-calling models | 9 |
| Largest context window | 256K tokens |
| API key variable | COHERE_API_KEY |
| SDK adapter | @ai-sdk/cohere |
| Provider docs | docs.cohere.com ↗ |
Why run WorkDaddy agents on Cohere in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. Cohere brings 9 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 256K 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 Cohere’s strongest model and bulk work to its cheapest, inside one team.
Best Cohere models for e-commerce agents (2026)
The current flagships from Cohere in the WorkDaddy catalog, newest first:
North Mini Code — Cohere coding model for practical software engineering and agentic edits (256K context)
Command A Plus — Cohere's stronger command model for multilingual agents and enterprise workflows (128K context)
Command A Translate — Translation model for multilingual conversion, localization, and cross-language workflows (8K context)
Command A Reasoning — Cohere reasoning model for multilingual enterprise agents, tools, and complex workflows (256K context)
Command A Vision — Cohere vision model for multilingual document analysis, OCR, and image understanding (128K context)
Command A — Cohere command model for multilingual enterprise agents, tools, and chat (256K context)
How to connect Cohere to WorkDaddy
WorkDaddy talks to Cohere at — via the @ai-sdk/cohere adapter. Add your credential (typically COHERE_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add Cohere as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| North Mini Code | 256K | Yes | 2026-06-09 |
| Command A Plus | 128K | Yes | 2026-05-20 |
| Command A Translate | 8K | No | 2025-08-28 |
| Command A Reasoning | 256K | Yes | 2025-08-21 |
| Command A Vision | 128K | No | 2025-07-31 |
| Command A | 256K | No | 2025-03-13 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose Cohere, and paste your API key (COHERE_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick North Mini Code or any of the 14 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 Cohere in 2026?
Yes — Cohere is a supported LLM provider with 14 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/cohere adapter.
How many Cohere models can I use with WorkDaddy?
14 models are listed for Cohere, including 3 reasoning models and 4 vision-capable models. The flagship lineup above shows the newest.
What context window do Cohere models offer?
Up to 256K tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is Cohere the best LLM provider for e-commerce agents?
It depends on the task mix — Cohere sits in the Frontier Labs 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.