Tinfoil × WorkDaddy: LLM Provider Integration (2026)

Use Tinfoil as the engine behind your WorkDaddy agent team: 7 models available, context windows up to 384K tokens, connected in minutes with your own key.

Tinfoil is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Local & Private group. The catalog currently lists 7 models from Tinfoil: 5 with explicit reasoning, 2 with vision input, and 6 with tool calling — the capability that matters most for agent work. The largest context window reaches 384K tokens.

At a glance

Models available 7
Reasoning models 5
Vision models 2
Tool-calling models 6
Largest context window 384K tokens
API endpoint https://inference.tinfoil.sh/v1
API key variable TINFOIL_API_KEY
SDK adapter @ai-sdk/openai-compatible
Provider docs docs.tinfoil.sh ↗

Why run WorkDaddy agents on Tinfoil in 2026

Tool calling, context size, and cost decide how well a provider drives an agent team. Tinfoil brings 6 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 384K 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 Tinfoil’s strongest model and bulk work to its cheapest, inside one team.

Best Tinfoil models for e-commerce agents (2026)

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

  • GLM-5.2 — Open flagship GLM for long-horizon coding agents and million-token context work (384K context)

  • Kimi K2.6 — Multimodal Kimi workhorse for agent loops, coding tasks, and visual context (256K context)

  • Gemma 4 31B IT — Largest Gemma 4 instruction model for open, self-hosted chat and reasoning (256K context)

  • gpt-oss-safeguard-120b — Safety model for policy screening, moderation, and risk-aware routing workflows (131K context)

  • gpt-oss-120b — Open GPT reasoning model for self-hosted agents and controllable deployments (131K context)

  • Llama-3.3-70B-Instruct — Popular open Llama workhorse for multilingual chat, coding, and self-hosting (128K context)

How to connect Tinfoil to WorkDaddy

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

Featured models

Model Context Reasoning Released
GLM-5.2 384K Yes 2026-06-13
Kimi K2.6 256K Yes 2026-04-21
Gemma 4 31B IT 256K Yes 2026-04-02
gpt-oss-safeguard-120b 131K Yes 2025-10-29
gpt-oss-120b 131K Yes 2025-08-05
Llama-3.3-70B-Instruct 128K No 2024-12-06

How it works

01

Connect

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

02

Put agents to work

Pick GLM-5.2 or any of the 7 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 Tinfoil in 2026?

Yes — Tinfoil is a supported LLM provider with 7 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.

How many Tinfoil models can I use with WorkDaddy?

7 models are listed for Tinfoil, including 5 reasoning models and 2 vision-capable models. The flagship lineup above shows the newest.

What context window do Tinfoil models offer?

Up to 384K tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.

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

It depends on the task mix — Tinfoil sits in the Local & Private 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.