OpenCode Go × WorkDaddy: LLM Provider Integration (2026)
Use OpenCode Go as the engine behind your WorkDaddy agent team: 23 models available, context windows up to 1.1M tokens, connected in minutes with your own key.
OpenCode Go is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Aggregators & Gateways group. The catalog currently lists 23 models from OpenCode Go: 23 with explicit reasoning, 12 with vision input, and 23 with tool calling — the capability that matters most for agent work. The largest context window reaches 1.1M tokens.
At a glance
| Models available | 23 |
|---|---|
| Reasoning models | 23 |
| Vision models | 12 |
| Tool-calling models | 23 |
| Largest context window | 1.1M tokens |
| API endpoint | https://opencode.ai/zen/go/v1 |
| API key variable | OPENCODE_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | opencode.ai ↗ |
Why run WorkDaddy agents on OpenCode Go in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. OpenCode Go brings 23 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 OpenCode Go’s strongest model and bulk work to its cheapest, inside one team.
Best OpenCode Go models for e-commerce agents (2026)
The current flagships from OpenCode Go in the WorkDaddy catalog, newest first:
DeepSeek V4 Flash (New) — Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding (1M context)
Kimi K3 — Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work (1M context)
GPT-5.6 Luna (2x usage) — Cost-efficient GPT-5.6 model for fast, high-volume workloads (1.1M context)
Grok 4.5 — xAI's latest Grok for chat, coding, agentic tools, and lower hallucination risk (500K context)
Hy3 — Tencent Hy reasoning model for coding, instruction following, and agent tasks (256K context)
GLM-5.2 — Open flagship GLM for long-horizon coding agents and million-token context work (1M context)
How to connect OpenCode Go to WorkDaddy
WorkDaddy talks to OpenCode Go at opencode.ai via the @ai-sdk/openai-compatible adapter. Add your credential (typically OPENCODE_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add OpenCode Go as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| DeepSeek V4 Flash (New) | 1M | Yes | 2026-07-31 |
| Kimi K3 | 1M | Yes | 2026-07-16 |
| GPT-5.6 Luna (2x usage) | 1.1M | Yes | 2026-07-09 |
| Grok 4.5 | 500K | Yes | 2026-07-08 |
| Hy3 | 256K | Yes | 2026-07-06 |
| GLM-5.2 | 1M | Yes | 2026-06-13 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose OpenCode Go, and paste your API key (OPENCODE_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick DeepSeek V4 Flash (New) or any of the 23 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 OpenCode Go in 2026?
Yes — OpenCode Go is a supported LLM provider with 23 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many OpenCode Go models can I use with WorkDaddy?
23 models are listed for OpenCode Go, including 23 reasoning models and 12 vision-capable models. The flagship lineup above shows the newest.
What context window do OpenCode Go models offer?
Up to 1.1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is OpenCode Go the best LLM provider for e-commerce agents?
It depends on the task mix — OpenCode Go 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.
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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.