GitHub Models × WorkDaddy: LLM Provider Integration (2026)
Use GitHub Models as the engine behind your WorkDaddy agent team: 55 models available, context windows up to 256K tokens, connected in minutes with your own key.
GitHub Models is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Coding & IDE group. The catalog currently lists 55 models from GitHub Models: 47 with explicit reasoning, 16 with vision input, and 49 with tool calling — the capability that matters most for agent work. The largest context window reaches 256K tokens.
At a glance
| Models available | 55 |
|---|---|
| Reasoning models | 47 |
| Vision models | 16 |
| Tool-calling models | 49 |
| Largest context window | 256K tokens |
| API endpoint | https://models.github.ai/inference |
| API key variable | GITHUB_TOKEN |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | docs.github.com ↗ |
Why run WorkDaddy agents on GitHub Models in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. GitHub Models brings 49 tool-calling models to WorkDaddy — enough to power the full loop of storefront edits, analytics queries, and content production — with 256K 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 Models’s strongest model and bulk work to its cheapest, inside one team.
Best GitHub Models models for e-commerce agents (2026)
The current flagships from GitHub Models in the WorkDaddy catalog, newest first:
DeepSeek-R1-0528 — DeepSeek reasoning model for multi-step analysis, math, coding, and tools (66K context)
Mistral Medium 3 (25.05) — Mistral model for multilingual chat, reasoning, and tool-assisted workflows (128K context)
GPT-4.1-mini — Compact GPT model for low-latency assistance and high-volume workloads (128K context)
GPT-4.1-nano — Compact GPT model for low-latency assistance and high-volume workloads (128K context)
GPT-4.1 — GPT model for general reasoning, writing, coding, and tool-assisted tasks (128K context)
DeepSeek-V3-0324 — DeepSeek chat model for instruction following, coding, and analysis (128K context)
How to connect GitHub Models to WorkDaddy
WorkDaddy talks to GitHub Models at models.github.ai 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 Models as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| DeepSeek-R1-0528 | 66K | Yes | 2025-05-28 |
| Mistral Medium 3 (25.05) | 128K | Yes | 2025-05-01 |
| GPT-4.1-mini | 128K | No | 2025-04-14 |
| GPT-4.1-nano | 128K | No | 2025-04-14 |
| GPT-4.1 | 128K | No | 2025-04-14 |
| DeepSeek-V3-0324 | 128K | Yes | 2025-03-24 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose GitHub Models, and paste your API key (GITHUB_TOKEN). No key? Start on the managed gateway instead.
Put agents to work
Pick DeepSeek-R1-0528 or any of the 55 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 Models in 2026?
Yes — GitHub Models is a supported LLM provider with 55 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many GitHub Models models can I use with WorkDaddy?
55 models are listed for GitHub Models, including 47 reasoning models and 16 vision-capable models. The flagship lineup above shows the newest.
What context window do GitHub Models models offer?
Up to 256K tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is GitHub Models the best LLM provider for e-commerce agents?
It depends on the task mix — GitHub Models 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 Copilot
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.