Berget.AI × WorkDaddy: LLM Provider Integration (2026)
Use Berget.AI as the engine behind your WorkDaddy agent team: 9 models available, context windows up to 524K tokens, connected in minutes with your own key.
Berget.AI is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the More Providers group. The catalog currently lists 9 models from Berget.AI: 9 with explicit reasoning, 4 with vision input, and 9 with tool calling — the capability that matters most for agent work. The largest context window reaches 524K tokens.
At a glance
| Models available | 9 |
|---|---|
| Reasoning models | 9 |
| Vision models | 4 |
| Tool-calling models | 9 |
| Largest context window | 524K tokens |
| API endpoint | https://api.berget.ai/v1 |
| API key variable | BERGET_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | api.berget.ai ↗ |
Why run WorkDaddy agents on Berget.AI in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. Berget.AI brings 9 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 524K 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 Berget.AI’s strongest model and bulk work to its cheapest, inside one team.
Best Berget.AI models for e-commerce agents (2026)
The current flagships from Berget.AI in the WorkDaddy catalog, newest first:
Kimi K3 — Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work (328K context)
GLM-5.2 — Open flagship GLM for long-horizon coding agents and million-token context work (524K context)
Kimi K2.6 — Multimodal Kimi workhorse for agent loops, coding tasks, and visual context (262K context)
Mistral Medium 3.5 128B — Mistral model for multilingual chat, reasoning, and tool-assisted workflows (262K context)
Gemma 4 31B Instruct — Open Gemma instruction model for efficient chat and self-hosted deployments (128K context)
GLM 4.7 — Flagship GLM model for hybrid reasoning, coding, and agentic engineering (128K context)
How to connect Berget.AI to WorkDaddy
WorkDaddy talks to Berget.AI at api.berget.ai via the @ai-sdk/openai-compatible adapter. Add your credential (typically BERGET_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add Berget.AI as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| Kimi K3 | 328K | Yes | 2026-07-27 |
| GLM-5.2 | 524K | Yes | 2026-06-13 |
| Kimi K2.6 | 262K | Yes | 2026-05-07 |
| Mistral Medium 3.5 128B | 262K | Yes | 2026-04-29 |
| Gemma 4 31B Instruct | 128K | Yes | 2026-04-02 |
| GLM 4.7 | 128K | Yes | 2026-01-19 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose Berget.AI, and paste your API key (BERGET_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick Kimi K3 or any of the 9 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 Berget.AI in 2026?
Yes — Berget.AI is a supported LLM provider with 9 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many Berget.AI models can I use with WorkDaddy?
9 models are listed for Berget.AI, including 9 reasoning models and 4 vision-capable models. The flagship lineup above shows the newest.
What context window do Berget.AI models offer?
Up to 524K tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is Berget.AI the best LLM provider for e-commerce agents?
It depends on the task mix — Berget.AI 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.