Baseten × WorkDaddy: LLM Provider Integration (2026)

Use Baseten as the engine behind your WorkDaddy agent team: 18 models available, context windows up to 1M tokens, connected in minutes with your own key.

Baseten is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Inference Clouds group. The catalog currently lists 18 models from Baseten: 18 with explicit reasoning, 6 with vision input, and 18 with tool calling — the capability that matters most for agent work. The largest context window reaches 1M tokens.

At a glance

Models available 18
Reasoning models 18
Vision models 6
Tool-calling models 18
Largest context window 1M tokens
API endpoint https://inference.baseten.co/v1
API key variable BASETEN_API_KEY
SDK adapter @ai-sdk/openai-compatible
Provider docs docs.baseten.co ↗

Why run WorkDaddy agents on Baseten in 2026

Tool calling, context size, and cost decide how well a provider drives an agent team. Baseten brings 18 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 Baseten’s strongest model and bulk work to its cheapest, inside one team.

Best Baseten models for e-commerce agents (2026)

The current flagships from Baseten in the WorkDaddy catalog, newest first:

  • Deepseek V4 Flash 0731 — Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding (1M context)

  • Inkling Small — Multimodal reasoning model for visual analysis, planning, and tool use (1M context)

  • Kimi K3 — Kimi multimodal agent model for visual understanding, coding, and planning (1M context)

  • Inkling — Multimodal reasoning model for visual analysis, planning, and tool use (1M context)

  • GLM 5.2 Fast — Open flagship GLM for long-horizon coding agents and million-token context work (524K context)

  • GLM 5.2 — Open flagship GLM for long-horizon coding agents and million-token context work (1M context)

How to connect Baseten to WorkDaddy

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

Featured models

Model Context Reasoning Released
Deepseek V4 Flash 0731 1M Yes 2026-07-31
Inkling Small 1M Yes 2026-07-30
Kimi K3 1M Yes 2026-07-16
Inkling 1M Yes 2026-07-15
GLM 5.2 Fast 524K Yes 2026-06-13
GLM 5.2 1M Yes 2026-06-13

How it works

01

Connect

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

02

Put agents to work

Pick Deepseek V4 Flash 0731 or any of the 18 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 Baseten in 2026?

Yes — Baseten is a supported LLM provider with 18 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.

How many Baseten models can I use with WorkDaddy?

18 models are listed for Baseten, including 18 reasoning models and 6 vision-capable models. The flagship lineup above shows the newest.

What context window do Baseten models offer?

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

Is Baseten the best LLM provider for e-commerce agents?

It depends on the task mix — Baseten 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.