CloudFerro Sherlock × WorkDaddy: LLM Provider Integration (2026)
Use CloudFerro Sherlock as the engine behind your WorkDaddy agent team: 5 models available, context windows up to 196K tokens, connected in minutes with your own key.
CloudFerro Sherlock is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the More Providers group. The catalog currently lists 5 models from CloudFerro Sherlock: 2 with explicit reasoning, 0 with vision input, and 5 with tool calling — the capability that matters most for agent work. The largest context window reaches 196K tokens.
At a glance
| Models available | 5 |
|---|---|
| Reasoning models | 2 |
| Vision models | 0 |
| Tool-calling models | 5 |
| Largest context window | 196K tokens |
| API endpoint | https://api-sherlock.cloudferro.com/openai/v1/ |
| API key variable | CLOUDFERRO_SHERLOCK_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | docs.sherlock.cloudferro.com ↗ |
Why run WorkDaddy agents on CloudFerro Sherlock in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. CloudFerro Sherlock brings 5 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 196K 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 CloudFerro Sherlock’s strongest model and bulk work to its cheapest, inside one team.
Best CloudFerro Sherlock models for e-commerce agents (2026)
The current flagships from CloudFerro Sherlock in the WorkDaddy catalog, newest first:
MiniMax-M2.5 — MiniMax model for chat, coding, office work, and agentic tasks (196K context)
OpenAI GPT OSS 120B — Open GPT reasoning model for self-hosted agents and controllable deployments (131K context)
Bielik 11B v3.0 Instruct — Open-weight instruction model for adaptable chat and self-hosted production workloads (32K context)
Bielik 11B v2.6 Instruct — Open-weight instruction model for adaptable chat and self-hosted production workloads (32K context)
Llama 3.3 70B Instruct — Open Llama instruction model for multilingual chat, reasoning, and coding (70K context)
How to connect CloudFerro Sherlock to WorkDaddy
WorkDaddy talks to CloudFerro Sherlock at api-sherlock.cloudferro.com via the @ai-sdk/openai-compatible adapter. Add your credential (typically CLOUDFERRO_SHERLOCK_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add CloudFerro Sherlock as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| MiniMax-M2.5 | 196K | Yes | 2026-03-05 |
| OpenAI GPT OSS 120B | 131K | Yes | 2025-08-28 |
| Bielik 11B v3.0 Instruct | 32K | No | 2025-03-13 |
| Bielik 11B v2.6 Instruct | 32K | No | 2025-03-13 |
| Llama 3.3 70B Instruct | 70K | No | 2024-12-06 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose CloudFerro Sherlock, and paste your API key (CLOUDFERRO_SHERLOCK_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick MiniMax-M2.5 or any of the 5 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 CloudFerro Sherlock in 2026?
Yes — CloudFerro Sherlock is a supported LLM provider with 5 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many CloudFerro Sherlock models can I use with WorkDaddy?
5 models are listed for CloudFerro Sherlock, including 2 reasoning models and 0 vision-capable models. The flagship lineup above shows the newest.
What context window do CloudFerro Sherlock models offer?
Up to 196K tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is CloudFerro Sherlock the best LLM provider for e-commerce agents?
It depends on the task mix — CloudFerro Sherlock 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.
Keep reading
Pioneer
More Providers
Cortecs
More Providers
CrossModel
More Providers
EmpirioLabs AI
More Providers
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.