302.AI × WorkDaddy: LLM Provider Integration (2026)

Use 302.AI as the engine behind your WorkDaddy agent team: 97 models available, context windows up to 2M tokens, connected in minutes with your own key.

302.AI is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Aggregators & Gateways group. The catalog currently lists 97 models from 302.AI: 52 with explicit reasoning, 66 with vision input, and 92 with tool calling — the capability that matters most for agent work. The largest context window reaches 2M tokens.

At a glance

Models available 97
Reasoning models 52
Vision models 66
Tool-calling models 92
Largest context window 2M tokens
API endpoint https://api.302.ai/v1
API key variable 302AI_API_KEY
SDK adapter @ai-sdk/openai-compatible
Provider docs doc.302.ai ↗

Why run WorkDaddy agents on 302.AI in 2026

Tool calling, context size, and cost decide how well a provider drives an agent team. 302.AI brings 92 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 2M 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 302.AI’s strongest model and bulk work to its cheapest, inside one team.

Best 302.AI models for e-commerce agents (2026)

The current flagships from 302.AI in the WorkDaddy catalog, newest first:

  • claude-opus-4-7 — Flagship Claude model for deep reasoning, coding, and long-horizon agents (1M context)

  • glm-5.1 — Flagship GLM model for hybrid reasoning, coding, and agentic engineering (200K context)

  • GLM-5V-Turbo — GLM vision model for visual reasoning, documents, and multimodal agents (200K context)

  • MiniMax-M2.7 — MiniMax model for chat, coding, office work, and agentic tasks (205K context)

  • gpt-5.4-nano — Compact GPT model for low-latency assistance and high-volume workloads (400K context)

  • gpt-5.4-mini — Compact GPT model for low-latency assistance and high-volume workloads (400K context)

How to connect 302.AI to WorkDaddy

WorkDaddy talks to 302.AI at api.302.ai via the @ai-sdk/openai-compatible adapter. Add your credential (typically 302AI_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add 302.AI as one engine among several and let tasks route to the best fit.

Featured models

Model Context Reasoning Released
claude-opus-4-7 1M Yes 2026-04-17
glm-5.1 200K Yes 2026-04-10
GLM-5V-Turbo 200K Yes 2026-04-02
MiniMax-M2.7 205K No 2026-03-19
gpt-5.4-nano 400K Yes 2026-03-19
gpt-5.4-mini 400K Yes 2026-03-19

How it works

01

Connect

In WorkDaddy, open Settings → Models, choose 302.AI, and paste your API key (302AI_API_KEY). No key? Start on the managed gateway instead.

02

Put agents to work

Pick claude-opus-4-7 or any of the 97 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 302.AI in 2026?

Yes — 302.AI is a supported LLM provider with 97 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.

How many 302.AI models can I use with WorkDaddy?

97 models are listed for 302.AI, including 52 reasoning models and 66 vision-capable models. The flagship lineup above shows the newest.

What context window do 302.AI models offer?

Up to 2M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.

Is 302.AI the best LLM provider for e-commerce agents?

It depends on the task mix — 302.AI sits in the Aggregators & Gateways 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.