InferX × WorkDaddy: LLM Provider Integration (2026)

At a glance

Why run WorkDaddy agents on InferX in 2026

Tool calling, context size, and cost decide how well a provider drives an agent team. InferX brings 6 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 InferX’s strongest model and bulk work to its cheapest, inside one team.

Best InferX models for e-commerce agents (2026)

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

• Qwen3.6 27B FP8 — Qwen vision-language model for visual reasoning, documents, and agent tasks (262K context)

• Qwen3.6 35B A3B FP8 — Open multimodal Qwen MoE for local agents that need vision, audio, and code (262K context)

• Gemma 4 31B IT FP8 — Largest Gemma 4 instruction model for open, self-hosted chat and reasoning (262K context)

• Qwen3.5 122B A10B NVFP4 — Qwen vision-language model for visual reasoning, documents, and agent tasks (256K context)

• Qwen3 Coder Next FP8 1M — Qwen coding model for software agents, repository edits, and code reasoning (1M context)

• Qwen3 Coder Next FP8 — Qwen coding model for software agents, repository edits, and code reasoning (256K context)

How to connect InferX to WorkDaddy

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

Featured models