Deep Infra × WorkDaddy: LLM Provider Integration (2026)
Use Deep Infra as the engine behind your WorkDaddy agent team: 47 models available, context windows up to 1M tokens, connected in minutes with your own key.
Deep Infra is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Inference Clouds group. The catalog currently lists 47 models from Deep Infra: 40 with explicit reasoning, 22 with vision input, and 46 with tool calling — the capability that matters most for agent work. The largest context window reaches 1M tokens.
At a glance
| Models available | 47 |
|---|---|
| Reasoning models | 40 |
| Vision models | 22 |
| Tool-calling models | 46 |
| Largest context window | 1M tokens |
| API key variable | DEEPINFRA_API_KEY |
| SDK adapter | @ai-sdk/deepinfra |
| Provider docs | deepinfra.com ↗ |
Why run WorkDaddy agents on Deep Infra in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. Deep Infra brings 46 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 Deep Infra’s strongest model and bulk work to its cheapest, inside one team.
Best Deep Infra models for e-commerce agents (2026)
The current flagships from Deep Infra in the WorkDaddy catalog, newest first:
DeepSeek V4 Flash 0731 — Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding (1M context)
Inkling Small — Multimodal MoE reasoning model (276B total, 12B active) for text, image, and audio (524K context)
Kimi K3 — Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work (1M context)
Inkling — Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio (524K context)
Hy3 — Tencent Hy reasoning model for coding, instruction following, and agent tasks (262K context)
GLM-5.2 — Open flagship GLM for long-horizon coding agents and million-token context work (1M context)
How to connect Deep Infra to WorkDaddy
WorkDaddy talks to Deep Infra at — via the @ai-sdk/deepinfra adapter. Add your credential (typically DEEPINFRA_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add Deep Infra as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| DeepSeek V4 Flash 0731 | 1M | Yes | 2026-07-31 |
| Inkling Small | 524K | Yes | 2026-07-30 |
| Kimi K3 | 1M | Yes | 2026-07-16 |
| Inkling | 524K | Yes | 2026-07-15 |
| Hy3 | 262K | Yes | 2026-07-06 |
| GLM-5.2 | 1M | Yes | 2026-06-13 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose Deep Infra, and paste your API key (DEEPINFRA_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick DeepSeek V4 Flash 0731 or any of the 47 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 Deep Infra in 2026?
Yes — Deep Infra is a supported LLM provider with 47 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/deepinfra adapter.
How many Deep Infra models can I use with WorkDaddy?
47 models are listed for Deep Infra, including 40 reasoning models and 22 vision-capable models. The flagship lineup above shows the newest.
What context window do Deep Infra models offer?
Up to 1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is Deep Infra the best LLM provider for e-commerce agents?
It depends on the task mix — Deep Infra 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.