Synthetic × WorkDaddy: LLM Provider Integration (2026)

At a glance

Why run WorkDaddy agents on Synthetic in 2026

Tool calling, context size, and cost decide how well a provider drives an agent team. Synthetic brings 8 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 524K 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 Synthetic’s strongest model and bulk work to its cheapest, inside one team.

Best Synthetic models for e-commerce agents (2026)

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

• Kimi K3 — Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work (524K context)

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

• Kimi K2.7 Code — Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking (262K context)

• MiniMax-M3 — MiniMax multimodal model for long-context coding, perception, and agent planning (524K context)

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

• Nemotron 3 Super 120B A12B — Nemotron middle tier for collaborative agents and high-volume reasoning workloads (262K context)

How to connect Synthetic to WorkDaddy

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

Featured models