NEAR AI Cloud × WorkDaddy: LLM Provider Integration (2026)
Use NEAR AI Cloud as the engine behind your WorkDaddy agent team: 37 models available, context windows up to 1.1M tokens, connected in minutes with your own key.
NEAR AI Cloud is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the More Providers group. The catalog currently lists 37 models from NEAR AI Cloud: 28 with explicit reasoning, 27 with vision input, and 33 with tool calling — the capability that matters most for agent work. The largest context window reaches 1.1M tokens.
At a glance
| Models available | 37 |
|---|---|
| Reasoning models | 28 |
| Vision models | 27 |
| Tool-calling models | 33 |
| Largest context window | 1.1M tokens |
| API endpoint | https://cloud-api.near.ai/v1 |
| API key variable | NEARAI_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | docs.near.ai ↗ |
Why run WorkDaddy agents on NEAR AI Cloud in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. NEAR AI Cloud brings 33 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 NEAR AI Cloud’s strongest model and bulk work to its cheapest, inside one team.
Best NEAR AI Cloud models for e-commerce agents (2026)
The current flagships from NEAR AI Cloud in the WorkDaddy catalog, newest first:
Gemini 3.5 Flash — Fast Gemini model balancing multimodal reasoning, tool use, and cost (1M context)
Gemini 3.1 Flash Lite — Low-latency Gemini model for high-volume multimodal and agent workloads (1M context)
GPT-5.5 — Default frontier GPT for coding, computer use, research, and knowledge work (1.1M context)
Qwen 3.6 35B A3B FP8 — Open multimodal Qwen MoE for local agents that need vision, audio, and code (262K context)
Claude Opus 4.7 — Stronger Opus tier for advanced software work and high-stakes reasoning (1M context)
Gemma 4 31B IT — Largest Gemma 4 instruction model for open, self-hosted chat and reasoning (262K context)
How to connect NEAR AI Cloud to WorkDaddy
WorkDaddy talks to NEAR AI Cloud at cloud-api.near.ai via the @ai-sdk/openai-compatible adapter. Add your credential (typically NEARAI_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add NEAR AI Cloud as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| Gemini 3.5 Flash | 1M | Yes | 2026-05-19 |
| Gemini 3.1 Flash Lite | 1M | Yes | 2026-05-07 |
| GPT-5.5 | 1.1M | Yes | 2026-04-23 |
| Qwen 3.6 35B A3B FP8 | 262K | Yes | 2026-04-17 |
| Claude Opus 4.7 | 1M | Yes | 2026-04-16 |
| Gemma 4 31B IT | 262K | Yes | 2026-04-02 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose NEAR AI Cloud, and paste your API key (NEARAI_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick Gemini 3.5 Flash or any of the 37 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 NEAR AI Cloud in 2026?
Yes — NEAR AI Cloud is a supported LLM provider with 37 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many NEAR AI Cloud models can I use with WorkDaddy?
37 models are listed for NEAR AI Cloud, including 28 reasoning models and 27 vision-capable models. The flagship lineup above shows the newest.
What context window do NEAR AI Cloud models offer?
Up to 1.1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is NEAR AI Cloud the best LLM provider for e-commerce agents?
It depends on the task mix — NEAR AI Cloud 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.