Fireworks AI × WorkDaddy: LLM Provider Integration (2026)
Use Fireworks AI as the engine behind your WorkDaddy agent team: 17 models available, context windows up to 1M tokens, connected in minutes with your own key.
Fireworks AI is one of 178 LLM providers supported by WorkDaddy’s model layer in 2026, in the Inference Clouds group. The catalog currently lists 17 models from Fireworks AI: 17 with explicit reasoning, 9 with vision input, and 17 with tool calling — the capability that matters most for agent work. The largest context window reaches 1M tokens.
At a glance
| Models available | 17 |
|---|---|
| Reasoning models | 17 |
| Vision models | 9 |
| Tool-calling models | 17 |
| Largest context window | 1M tokens |
| API endpoint | https://api.fireworks.ai/inference/v1/ |
| API key variable | FIREWORKS_API_KEY |
| SDK adapter | @ai-sdk/openai-compatible |
| Provider docs | fireworks.ai ↗ |
Why run WorkDaddy agents on Fireworks AI in 2026
Tool calling, context size, and cost decide how well a provider drives an agent team. Fireworks AI brings 17 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 Fireworks AI’s strongest model and bulk work to its cheapest, inside one team.
Best Fireworks AI models for e-commerce agents (2026)
The current flagships from Fireworks AI in the WorkDaddy catalog, newest first:
DeepSeek V4 Flash 0731 — Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding (1M context)
Kimi K3 Fast — Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work (1M context)
Kimi K3 — Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work (1M context)
GLM 5.2 Fast — Efficient GLM model for fast reasoning, coding, and agent workflows (1M context)
GLM 5.2 — Flagship GLM model for hybrid reasoning, coding, and agentic engineering (1M context)
Kimi K2.7 Code Fast — Kimi coding model for software agents, refactors, and repository reasoning (262K context)
How to connect Fireworks AI to WorkDaddy
WorkDaddy talks to Fireworks AI at api.fireworks.ai via the @ai-sdk/openai-compatible adapter. Add your credential (typically FIREWORKS_API_KEY) in Settings → Models, pick a default model, and every agent can use it immediately — or add Fireworks AI as one engine among several and let tasks route to the best fit.
Featured models
| Model | Context | Reasoning | Released |
|---|---|---|---|
| DeepSeek V4 Flash 0731 | 1M | Yes | 2026-07-31 |
| Kimi K3 Fast | 1M | Yes | 2026-07-27 |
| Kimi K3 | 1M | Yes | 2026-07-27 |
| GLM 5.2 Fast | 1M | Yes | 2026-06-26 |
| GLM 5.2 | 1M | Yes | 2026-06-16 |
| Kimi K2.7 Code Fast | 262K | Yes | 2026-06-12 |
How it works
Connect
In WorkDaddy, open Settings → Models, choose Fireworks AI, and paste your API key (FIREWORKS_API_KEY). No key? Start on the managed gateway instead.
Put agents to work
Pick DeepSeek V4 Flash 0731 or any of the 17 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 Fireworks AI in 2026?
Yes — Fireworks AI is a supported LLM provider with 17 models in the WorkDaddy catalog, connected with your own API key via the @ai-sdk/openai-compatible adapter.
How many Fireworks AI models can I use with WorkDaddy?
17 models are listed for Fireworks AI, including 17 reasoning models and 9 vision-capable models. The flagship lineup above shows the newest.
What context window do Fireworks AI models offer?
Up to 1M tokens on the largest model — relevant for whole-repo storefront work and long analytics reports.
Is Fireworks AI the best LLM provider for e-commerce agents?
It depends on the task mix — Fireworks AI 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.