GitHub Copilot × WorkDaddy: LLM Provider Integration (2026)
Use GitHub Copilot as the engine behind your WorkDaddy agent team: 29 models available, context windows up to 1.1M tokens, connected in minutes with your own key.
GitHub Copilot is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Coding & IDE group. The catalog currently lists 29 models from GitHub Copilot: 28 with explicit reasoning, 28 with vision input, and 29 with tool calling — the capability that matters most for agent work. The largest context window reaches 1.1M tokens.
At a glance
| Models available | 29 |
|---|---|
| Reasoning models | 28 |
| Vision models | 28 |
| Tool-calling models | 29 |
| Largest context window | 1.1M tokens |
| API endpoint | https://api.githubcopilot.com |
| API key variable | GITHUB_TOKEN |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | docs.github.com ↗ |
Why run WorkDaddy agents on GitHub Copilot in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. GitHub Copilot brings 29 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 GitHub Copilot’s strongest model and bulk work to its cheapest, inside one team.
Best GitHub Copilot models for e-commerce agents (2026)
The current flagships from GitHub Copilot in the WorkDaddy catalog, newest first:
Claude Opus 5 — Strongest Claude Opus model for coding, agents, and professional work (1M context)
GPT-5.6 Sol — Frontier GPT-5.6 model for complex professional work, coding, and agentic workflows (1.1M context)
GPT-5.6 Luna — Cost-efficient GPT-5.6 model for fast, high-volume workloads (1.1M context)
GPT-5.6 Terra — Balanced GPT-5.6 model for capable, cost-efficient everyday work (1.1M context)
Claude Sonnet 5 — Everyday Claude agent model for coding, planning, browsing, and general work (1M context)
Kimi K2.7 Code — Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking (256K context)
How to connect GitHub Copilot to WorkDaddy
WorkDaddy talks to GitHub Copilot at api.githubcopilot.com via the @ai-sdk/openai-compatible adapter. Add your credential (typically GITHUB_TOKEN) in Settings → Models, pick a default model, and every agent can use it immediately — or add GitHub Copilot as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| Claude Opus 5 | 1M | Yes | 2026-07-24 |
| GPT-5.6 Sol | 1.1M | Yes | 2026-07-09 |
| GPT-5.6 Luna | 1.1M | Yes | 2026-07-09 |
| GPT-5.6 Terra | 1.1M | Yes | 2026-07-09 |
| Claude Sonnet 5 | 1M | Yes | 2026-06-30 |
| Kimi K2.7 Code | 256K | Yes | 2026-06-12 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose GitHub Copilot, and paste your API key (GITHUB_TOKEN). No key? Start on the managed gateway instead.
Put agents to work
Pick Claude Opus 5 or any of the 29 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 GitHub Copilot in 2026?
Yes — GitHub Copilot is a supported LLM provider with 29 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many GitHub Copilot models can I use with WorkDaddy?
29 models are listed for GitHub Copilot, including 28 reasoning models and 28 vision-capable models. The flagship lineup above shows the newest.
What context window do GitHub Copilot models offer?
Up to 1.1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is GitHub Copilot the best LLM provider for e-commerce agents?
It depends on the task mix — GitHub Copilot sits in the Coding & IDE 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
GitHub Models
Coding & IDE
GitLab Duo
Coding & IDE
ClinePass
Coding & IDE
Umans AI Coding Plan
Coding & IDE
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.