Together AI × WorkDaddy: LLM Provider Integration (2026)

Use Together AI as the engine behind your WorkDaddy agent team: 34 models available, context windows up to 1M tokens, connected in minutes with your own key.

Together AI is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Inference Clouds group. The catalog currently lists 34 models from Together AI: 23 with explicit reasoning, 8 with vision input, and 28 with tool calling — the capability that matters most for agent work. The largest context window reaches 1M tokens.

At a glance

Models available 34
Reasoning models 23
Vision models 8
Tool-calling models 28
Largest context window 1M tokens
API key variable TOGETHER_API_KEY
SDK adapter @ai-sdk/togetherai
Provider docs docs.together.ai ↗

Why run WorkDaddy agents on Together AI in 2026

Tool calling, context size, and cost decide how well a provider drives an agent team. Together AI brings 28 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 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 Together AI’s strongest model and bulk work to its cheapest, inside one team.

Best Together AI models for e-commerce agents (2026)

The current flagships from Together AI 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)

  • Inkling — Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio (524K context)

  • GLM-5.2 — Open flagship GLM for long-horizon coding agents and million-token context work (262K context)

  • Kimi K2.7 Code — Kimi coding model for software agents, refactors, and repository reasoning (262K context)

  • MiniMax-M3 — MiniMax multimodal coding model for long-context reasoning and agent tasks (524K context)

  • Nemotron 3 Ultra 550B A55B — Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy (512K context)

How to connect Together AI to WorkDaddy

WorkDaddy talks to Together AI at — via the @ai-sdk/togetherai adapter. Add your credential (typically TOGETHER_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add Together AI 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
Inkling 524K Yes 2026-07-15
GLM-5.2 262K Yes 2026-06-16
Kimi K2.7 Code 262K Yes 2026-06-14
MiniMax-M3 524K Yes 2026-06-12
Nemotron 3 Ultra 550B A55B 512K Yes 2026-06-04

How it works

01

Connect

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

02

Put agents to work

Pick Kimi K3 or any of the 34 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 Together AI in 2026?

Yes — Together AI is a supported LLM provider with 34 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/togetherai adapter.

How many Together AI models can I use with WorkDaddy?

34 models are listed for Together AI, including 23 reasoning models and 8 vision-capable models. The flagship lineup above shows the newest.

What context window do Together AI models offer?

Up to 1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.

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

It depends on the task mix — Together AI 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.

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.