Helicone × WorkDaddy: LLM Provider Integration (2026)

Use Helicone as the engine behind your WorkDaddy agent team: 90 models available, context windows up to 2M tokens, connected in minutes with your own key.

Helicone is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Aggregators & Gateways group. The catalog currently lists 90 models from Helicone: 24 with explicit reasoning, 50 with vision input, and 72 with tool calling — the capability that matters most for agent work. The largest context window reaches 2M tokens.

At a glance

Models available 90
Reasoning models 24
Vision models 50
Tool-calling models 72
Largest context window 2M tokens
API endpoint https://ai-gateway.helicone.ai/v1
API key variable HELICONE_API_KEY
SDK adapter @ai-sdk/openai-compatible
Provider docs helicone.ai ↗

Why run WorkDaddy agents on Helicone in 2026

Tool calling, context size, and cost decide how well a provider drives an agent team. Helicone brings 72 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 2M 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 Helicone’s strongest model and bulk work to its cheapest, inside one team.

Best Helicone models for e-commerce agents (2026)

The current flagships from Helicone in the WorkDaddy catalog, newest first:

  • Anthropic: Claude Opus 4.5 — Flagship Claude model for deep reasoning, coding, and long-horizon agents (200K context)

  • Google Gemini 3 Pro Preview — Advanced Gemini model for complex reasoning, coding, and multimodal analysis (1M context)

  • xAI Grok 4.1 Fast Reasoning — Fast Grok model for responsive chat, reasoning, and tool-assisted work (2M context)

  • xAI Grok 4.1 Fast Non-Reasoning — Image model for prompt-driven generation, editing, and visual design workflows (2M context)

  • Kimi K2 Thinking — Kimi reasoning model for long-horizon research, planning, and tool use (256K context)

  • Anthropic: Claude 4.5 Haiku — Fast Claude model for responsive assistance, classification, and lightweight agents (200K context)

How to connect Helicone to WorkDaddy

WorkDaddy talks to Helicone at ai-gateway.helicone.ai via the @ai-sdk/openai-compatible adapter. Add your credential (typically HELICONE_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add Helicone as one engine among several and let tasks route to the best fit.

Featured models

Model Context Reasoning Released
Anthropic: Claude Opus 4.5 200K Yes 2025-11-24
Google Gemini 3 Pro Preview 1M Yes 2025-11-18
xAI Grok 4.1 Fast Reasoning 2M Yes 2025-11-17
xAI Grok 4.1 Fast Non-Reasoning 2M No 2025-11-17
Kimi K2 Thinking 256K No 2025-11-06
Anthropic: Claude 4.5 Haiku 200K No 2025-10-01

How it works

01

Connect

In WorkDaddy, open Settings → Models, choose Helicone, and paste your API key (HELICONE_API_KEY). No key? Start on the managed gateway instead.

02

Put agents to work

Pick Anthropic: Claude Opus 4.5 or any of the 90 available models as your default — per-agent overrides let you match model to task.

03

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 Helicone in 2026?

Yes — Helicone is a supported LLM provider with 90 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.

How many Helicone models can I use with WorkDaddy?

90 models are listed for Helicone, including 24 reasoning models and 50 vision-capable models. The flagship lineup above shows the newest.

What context window do Helicone models offer?

Up to 2M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.

Is Helicone the best LLM provider for e-commerce agents?

It depends on the task mix — Helicone 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.

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.