SiliconFlow × WorkDaddy: LLM Provider Integration (2026)
Use SiliconFlow as the engine behind your WorkDaddy agent team: 49 models available, context windows up to 1M tokens, connected in minutes with your own key.
SiliconFlow is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Inference Clouds group. The catalog currently lists 49 models from SiliconFlow: 24 with explicit reasoning, 10 with vision input, and 49 with tool calling — the capability that matters most for agent work. The largest context window reaches 1M tokens.
At a glance
| Models available | 49 |
|---|---|
| Reasoning models | 24 |
| Vision models | 10 |
| Tool-calling models | 49 |
| Largest context window | 1M tokens |
| API endpoint | https://api.siliconflow.com/v1 |
| API key variable | SILICONFLOW_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | cloud.siliconflow.com ↗ |
Why run WorkDaddy agents on SiliconFlow in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. SiliconFlow brings 49 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 SiliconFlow’s strongest model and bulk work to its cheapest, inside one team.
Best SiliconFlow models for e-commerce agents (2026)
The current flagships from SiliconFlow in the WorkDaddy catalog, newest first:
GLM-5.2 — Open flagship GLM for long-horizon coding agents and million-token context work (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)
Qwen3.6 27B — Qwen vision-language model for visual reasoning, documents, and agent tasks (262K context)
moonshotai/Kimi-K2.6 — Kimi multimodal agent model for visual understanding, coding, and planning (262K context)
Hy3 preview — Tencent Hy reasoning model for coding, instruction following, and agent tasks (262K context)
How to connect SiliconFlow to WorkDaddy
WorkDaddy talks to SiliconFlow at api.siliconflow.com via the @ai-sdk/openai-compatible adapter. Add your credential (typically SILICONFLOW_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add SiliconFlow 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 |
| DeepSeek V4 Flash | 1M | Yes | 2026-04-24 |
| DeepSeek V4 Pro | 1M | Yes | 2026-04-24 |
| Qwen3.6 27B | 262K | No | 2026-04-22 |
| moonshotai/Kimi-K2.6 | 262K | Yes | 2026-04-21 |
| Hy3 preview | 262K | Yes | 2026-04-20 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose SiliconFlow, and paste your API key (SILICONFLOW_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick GLM-5.2 or any of the 49 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 SiliconFlow in 2026?
Yes — SiliconFlow is a supported LLM provider with 49 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many SiliconFlow models can I use with WorkDaddy?
49 models are listed for SiliconFlow, including 24 reasoning models and 10 vision-capable models. The flagship lineup above shows the newest.
What context window do SiliconFlow models offer?
Up to 1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is SiliconFlow the best LLM provider for e-commerce agents?
It depends on the task mix — SiliconFlow 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.