Kimi For Coding × WorkDaddy: LLM Provider Integration (2026)

Use Kimi For Coding as the engine behind your WorkDaddy agent team: 4 models available, context windows up to 1M tokens, connected in minutes with your own key.

Kimi For Coding is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the China Model Providers group. The catalog currently lists 4 models from Kimi For Coding: 4 with explicit reasoning, 4 with vision input, and 4 with tool calling — the capability that matters most for agent work. The largest context window reaches 1M tokens.

At a glance

Models available 4
Reasoning models 4
Vision models 4
Tool-calling models 4
Largest context window 1M tokens
API endpoint https://api.kimi.com/coding/v1
API key variable KIMI_API_KEY
SDK adapter @ai-sdk/anthropic
Provider docs kimi.com ↗

Why run WorkDaddy agents on Kimi For Coding in 2026

Tool calling, context size, and cost decide how well a provider drives an agent team. Kimi For Coding brings 4 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 Kimi For Coding’s strongest model and bulk work to its cheapest, inside one team.

Best Kimi For Coding models for e-commerce agents (2026)

The current flagships from Kimi For Coding in the WorkDaddy catalog, newest first:

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

  • Kimi K3-256K — 256K-context version of Kimi K3, reducing token consumption for shorter coding sessions (262K context)

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

  • Kimi For Coding HighSpeed — Lower-latency Kimi Code variant for interactive edits and coding-agent loops (262K context)

How to connect Kimi For Coding to WorkDaddy

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

Featured models

Model Context Reasoning Released
Kimi K3 1M Yes 2026-07-16
Kimi K3-256K 262K Yes 2026-07-16
Kimi K2.7 Code 262K Yes 2026-06-12
Kimi For Coding HighSpeed 262K Yes 2026-06-12

How it works

01

Connect

In WorkDaddy, open Settings → Models, choose Kimi For Coding, and paste your API key (KIMI_API_KEY). No key? Start on the managed gateway instead.

02

Put agents to work

Pick Kimi K3 or any of the 4 available models as your default — per-agent overrides let you match model to task.

03

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 Kimi For Coding in 2026?

Yes — Kimi For Coding is a supported LLM provider with 4 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/anthropic adapter.

How many Kimi For Coding models can I use with WorkDaddy?

4 models are listed for Kimi For Coding, including 4 reasoning models and 4 vision-capable models. The flagship lineup above shows the newest.

What context window do Kimi For Coding models offer?

Up to 1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.

Is Kimi For Coding the best LLM provider for e-commerce agents?

It depends on the task mix — Kimi For Coding sits in the China Model Providers group. WorkDaddy is model-agnostic, so the practical answer in 2026 is to combine providers: route each agent task to whichever model fits best.

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.