Chutes × WorkDaddy: LLM Provider Integration (2026)
Use Chutes as the engine behind your WorkDaddy agent team: 13 models available, context windows up to 1M tokens, connected in minutes with your own key.
Chutes is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Inference Clouds group. The catalog currently lists 13 models from Chutes: 11 with explicit reasoning, 5 with vision input, and 11 with tool calling — the capability that matters most for agent work. The largest context window reaches 1M tokens.
At a glance
| Models available | 13 |
|---|---|
| Reasoning models | 11 |
| Vision models | 5 |
| Tool-calling models | 11 |
| Largest context window | 1M tokens |
| API endpoint | https://llm.chutes.ai/v1 |
| API key variable | CHUTES_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | llm.chutes.ai ↗ |
Why run WorkDaddy agents on Chutes in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. Chutes brings 11 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 Chutes’s strongest model and bulk work to its cheapest, inside one team.
Best Chutes models for e-commerce agents (2026)
The current flagships from Chutes in the WorkDaddy catalog, newest first:
DeepSeek V4 Flash 0731 TEE — Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding (1M context)
Kimi K3 TEE — Kimi multimodal agent model for visual understanding, coding, and planning (1M context)
Nemotron 3 Nano Omni 30B TEE — Omni-modal model for text, vision, audio, and multimodal agent tasks (131K context)
GLM 5.2 TEE — Open flagship GLM for long-horizon coding agents and million-token context work (1M context)
Qwen3.6 27B TEE — Qwen vision-language model for visual reasoning, documents, and agent tasks (262K context)
Kimi K2.6 TEE — Multimodal Kimi workhorse for agent loops, coding tasks, and visual context (262K context)
How to connect Chutes to WorkDaddy
WorkDaddy talks to Chutes at llm.chutes.ai via the @ai-sdk/openai-compatible adapter. Add your credential (typically CHUTES_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add Chutes as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| DeepSeek V4 Flash 0731 TEE | 1M | Yes | 2026-07-31 |
| Kimi K3 TEE | 1M | Yes | 2026-07-29 |
| Nemotron 3 Nano Omni 30B TEE | 131K | No | 2026-07-23 |
| GLM 5.2 TEE | 1M | Yes | 2026-06-13 |
| Qwen3.6 27B TEE | 262K | Yes | 2026-04-22 |
| Kimi K2.6 TEE | 262K | Yes | 2026-04-21 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose Chutes, and paste your API key (CHUTES_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick DeepSeek V4 Flash 0731 TEE or any of the 13 available models as your default — per-agent overrides let you match model to task.
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 Chutes in 2026?
Yes — Chutes is a supported LLM provider with 13 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many Chutes models can I use with WorkDaddy?
13 models are listed for Chutes, including 11 reasoning models and 5 vision-capable models. The flagship lineup above shows the newest.
What context window do Chutes models offer?
Up to 1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is Chutes the best LLM provider for e-commerce agents?
It depends on the task mix — Chutes sits in the Inference Clouds group. WorkDaddy is model-agnostic, so the practical answer in 2026 is to combine providers: route each agent task to whichever model fits best.
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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.