evroc × WorkDaddy: LLM Provider Integration (2026)
Use evroc as the engine behind your WorkDaddy agent team: 16 models available, context windows up to 1M tokens, connected in minutes with your own key.
evroc is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the More Providers group. The catalog currently lists 16 models from evroc: 7 with explicit reasoning, 6 with vision input, and 9 with tool calling — the capability that matters most for agent work. The largest context window reaches 1M tokens.
At a glance
| Models available | 16 |
|---|---|
| Reasoning models | 7 |
| Vision models | 6 |
| Tool-calling models | 9 |
| Largest context window | 1M tokens |
| API endpoint | https://models.think.evroc.com/v1 |
| API key variable | EVROC_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | docs.evroc.com ↗ |
Why run WorkDaddy agents on evroc in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. evroc brings 9 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 evroc’s strongest model and bulk work to its cheapest, inside one team.
Best evroc models for e-commerce agents (2026)
The current flagships from evroc in the WorkDaddy catalog, newest first:
GLM-5.2 — Open flagship GLM for long-horizon coding agents and million-token context work (1M context)
roc — Multimodal reasoning model for visual analysis, planning, and tool use (262K context)
Mistral Medium 3.5 — Balanced Mistral model for enterprise assistants, multilingual work, and tools (262K context)
Kimi K2.6 — Multimodal Kimi workhorse for agent loops, coding tasks, and visual context (262K context)
Qwen3.6 35B-A3B — Open multimodal Qwen MoE for local agents that need vision, audio, and code (262K context)
Gemma 4 26B A4B IT — Open Gemma instruction model for efficient chat and self-hosted deployments (262K context)
How to connect evroc to WorkDaddy
WorkDaddy talks to evroc at models.think.evroc.com via the @ai-sdk/openai-compatible adapter. Add your credential (typically EVROC_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add evroc as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| GLM-5.2 | 1M | Yes | 2026-06-13 |
| roc | 262K | Yes | 2026-06-06 |
| Mistral Medium 3.5 | 262K | Yes | 2026-04-29 |
| Kimi K2.6 | 262K | Yes | 2026-04-21 |
| Qwen3.6 35B-A3B | 262K | Yes | 2026-04-17 |
| Gemma 4 26B A4B IT | 262K | Yes | 2026-04-02 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose evroc, and paste your API key (EVROC_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick GLM-5.2 or any of the 16 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 evroc in 2026?
Yes — evroc is a supported LLM provider with 16 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many evroc models can I use with WorkDaddy?
16 models are listed for evroc, including 7 reasoning models and 6 vision-capable models. The flagship lineup above shows the newest.
What context window do evroc models offer?
Up to 1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is evroc the best LLM provider for e-commerce agents?
It depends on the task mix — evroc sits in the More 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.
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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.