NanoGPT × WorkDaddy: LLM Provider Integration (2026)

At a glance

Why run WorkDaddy agents on NanoGPT in 2026

Tool calling, context size, and cost decide how well a provider drives an agent team. NanoGPT brings 193 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 10M 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 NanoGPT’s strongest model and bulk work to its cheapest, inside one team.

Best NanoGPT models for e-commerce agents (2026)

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

• Mistral Code Agent Latest — Compact GPT model for low-latency assistance and high-volume workloads (262K context)

• Mistral Code Latest — Compact GPT model for low-latency assistance and high-volume workloads (256K context)

• Qwen3.7 Plus — Compact GPT model for low-latency assistance and high-volume workloads (992K context)

• Qwen3.7 Plus Thinking — Compact GPT model for low-latency assistance and high-volume workloads (984K context)

• MiniMax M3 Thinking — MiniMax multimodal coding model for long-context reasoning and agent tasks (512K context)

• MiniMax M3 — MiniMax multimodal coding model for long-context reasoning and agent tasks (512K context)

How to connect NanoGPT to WorkDaddy

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

Featured models