OrcaRouter × WorkDaddy: LLM Provider Integration (2026)
Use OrcaRouter as the engine behind your WorkDaddy agent team: 81 models available, context windows up to 1.1M tokens, connected in minutes with your own key.
OrcaRouter is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Aggregators & Gateways group. The catalog currently lists 81 models from OrcaRouter: 66 with explicit reasoning, 64 with vision input, and 79 with tool calling — the capability that matters most for agent work. The largest context window reaches 1.1M tokens.
At a glance
| Models available | 81 |
|---|---|
| Reasoning models | 66 |
| Vision models | 64 |
| Tool-calling models | 79 |
| Largest context window | 1.1M tokens |
| API endpoint | https://api.orcarouter.ai/v1 |
| API key variable | ORCAROUTER_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | docs.orcarouter.ai ↗ |
Why run WorkDaddy agents on OrcaRouter in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. OrcaRouter brings 79 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 1.1M 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 OrcaRouter’s strongest model and bulk work to its cheapest, inside one team.
Best OrcaRouter models for e-commerce agents (2026)
The current flagships from OrcaRouter in the WorkDaddy catalog, newest first:
Gemini Flash Latest — Fast Gemini model balancing multimodal reasoning, tool use, and cost (1M context)
Gemini Flash-Lite Latest — Low-latency Gemini model for high-volume multimodal and agent workloads (1M context)
DeepSeek V4 Flash — Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work (1M context)
DeepSeek V4 Pro — Open MoE flagship with million-token context for coding and long agent runs (1M context)
GPT-5.5 Pro — Highest-accuracy GPT-5.5 tier for slower, precision-heavy reasoning and coding (1.1M context)
GPT-5.5 — Default frontier GPT for coding, computer use, research, and knowledge work (1.1M context)
How to connect OrcaRouter to WorkDaddy
WorkDaddy talks to OrcaRouter at api.orcarouter.ai via the @ai-sdk/openai-compatible adapter. Add your credential (typically ORCAROUTER_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add OrcaRouter as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| Gemini Flash Latest | 1M | Yes | 2026-05-19 |
| Gemini Flash-Lite Latest | 1M | Yes | 2026-05-07 |
| DeepSeek V4 Flash | 1M | Yes | 2026-04-24 |
| DeepSeek V4 Pro | 1M | Yes | 2026-04-24 |
| GPT-5.5 Pro | 1.1M | Yes | 2026-04-23 |
| GPT-5.5 | 1.1M | Yes | 2026-04-23 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose OrcaRouter, and paste your API key (ORCAROUTER_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick Gemini Flash Latest or any of the 81 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 OrcaRouter in 2026?
Yes — OrcaRouter is a supported LLM provider with 81 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many OrcaRouter models can I use with WorkDaddy?
81 models are listed for OrcaRouter, including 66 reasoning models and 64 vision-capable models. The flagship lineup above shows the newest.
What context window do OrcaRouter models offer?
Up to 1.1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is OrcaRouter the best LLM provider for e-commerce agents?
It depends on the task mix — OrcaRouter sits in the Aggregators & Gateways group. WorkDaddy is model-agnostic, so the practical answer in 2026 is to combine providers: route each agent task to whichever model fits best.
Keep reading
NanoGPT
Aggregators & Gateways
Kilo Gateway
Aggregators & Gateways
OpenRouter
Aggregators & Gateways
Vercel AI Gateway
Aggregators & Gateways
Explore more integration directories
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.