QVAC × WorkDaddy: LLM Provider Integration (2026)

At a glance

Why run WorkDaddy agents on QVAC in 2026

Tool calling, context size, and cost decide how well a provider drives an agent team. QVAC brings 9 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 262K 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 QVAC’s strongest model and bulk work to its cheapest, inside one team.

Best QVAC models for e-commerce agents (2026)

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

• Qwen3.6 27B — Qwen vision-language model for visual reasoning, documents, and agent tasks (262K context)

• Qwen3.6 35B-A3B — Open multimodal Qwen MoE for local agents that need vision, audio, and code (262K context)

• Gemma 4 31B IT — Largest Gemma 4 instruction model for open, self-hosted chat and reasoning (262K context)

• Qwen3.5 9B — Qwen instruction model for multilingual chat, reasoning, and tool use (33K context)

• Qwen3.5 4B — Qwen instruction model for multilingual chat and tool use (33K context)

• Qwen3.5 0.8B — Qwen instruction model for multilingual chat and tool use (33K context)

How to connect QVAC to WorkDaddy

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

Featured models